International Conference on Statistical Distributions and Applications
ICOSDA 2019

 Oct. 10-12, 2019, at Eberhard Conference Center, Grand Rapids, MI, USA

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Topic-Invited Sessions

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Grant/Travel/Lodging Information

Accepted Abstracts

Keynotes & Plenary Speakers

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Important Deadlines

 

Updated 10/07/2019

An Updated Program is now posted below

A complete program by Time and By Alphabet order is available HERE

The Conference Floor Plan and Area Map is available HERE

 

Thank you for your participation in the ICOSDA 2019. All of the presentations will be on October 11 and 12. We will have two full day of outstanding programs covering a wide variety of topics. The following are important information to help you get ready for the conference.

 

For all oral presenters, including Keynotes, Plenary, Topic-invited and General-invited speakers:

·        Each presentation room will be equipped with a PC laptop computer to host your presentations (in PPT or PDF format).

·        Please note the Conference Center is not be able to support MAC computer. If you plan to use your own MAC computer, you will also need to bring the proper cable to connect to the projection system.

·        Each oral presenter is asked to prepare and bring your own presentation in either PPT or PDF format in a USB Type 1 or Type 2 flesh drive. (Not a Type C USB)

·        Please always bring a backup presentation file with you,

·        On the day, prior to your presentation, bring your flesh drive and upload your presentation to the  laptop in your presentation room, and make sure your presentation can be open properly before the session starts.

For student poster presentations:

·        Poster Presentations will be on the Hallway of 2nd floor of the conference center.

·        An easel and a presentation board of 5(width)x3.5(height) will be available in the poster display area.

·        Student presenters are asked to prepare their posters, which will be displayed on the presentation board.

·        A name card is attached to the display board. Presenters are asked to display their posters prior to the break before 5:40 pm on October 11.

·        The time for poster presentation and discussion is from 5:40 pm to 6:40 pm on October 11.

 

Eberhard Center

301 Fulton St. Grand Rapids, MI 49504

 

 

Conference Registration Desk on 2nd Floor

 

 

The general program schedule is posted below. Please carefully check your presentation schedule and the session(s) you will be chairing. The abstracts are also posted on the ‘Accepted Abstract’ Page. Please take a look at your title and abstract. If you notice any errors, please e-mail carl.lee@cmich.edu.

 

 

Schedule Summary Table (Gi: General-Invited Session, TIi: Topic-Invited Session.

See the session descriptions following this table.)

 

Registration

Start

End

10/10/2019

15:00

19:00

Hallway, 2nd Floor of Conference Center

10/11/2019

7:00

17:00

Hallway, 2nd Floor of Conference Center 

10/12/2019

7:00

12:00

Hallway, 2nd Floor of Conference Center 

10/11/2019

Session Time

Parallel sessions

Seq.

Start

End

1

2

3

4

5

6

7

8

Breakfast

7:00

8:00

General Session Room

Keynote 1

8:00

9:00

General Session Room

Intermission

9:00

9:15

Refreshment, Hallway, 2nd Floor

Oral Presentation 1

9:15

10:35

T1

T2

T3

T4

T6

T7

G1

Intermission

10:35

11:00

Refreshment, Hallway, 2nd Floor

Oral Presentation 2

11:00

12:20

T8

T9

T10

T11

T12

T13

T14

G2

Lunch

12:20

13:20

General Session Room

Plenary 1

13:20

14:30

General Session Room

Intermission

14:30

14:45

Refreshment, Hallway, 2nd Floor

Oral Presentation 3

14:45

16:05

T15

T16

T17

T18

T19

T20

T21

Intermission

16:05

16:20

Refreshment, Hallway, 2nd Floor

Oral Presentation 4

16:20

17:40

T22

T23

T24

T25

T26

T27

T5

Poster

17:40

18:40

Hallway, 2nd Floor

Dinner

18:40

19:30

General Session Room

Keynote 2

19:30

20:30

General Session Room

10/12/2019

Session Time

Parallel sessions

Seq.

Start

End

1

2

3

4

5

6

7

8

Breakfast

7:00

8:00

General Session Room

Keynote 3

8:00

9:00

General Session Room

Intermission

9:00

9:15

Refreshment, Hallway, 2nd Floor

Oral Presentation 1

9:15

10:35

T30

T31

T32

T33

T34

T35

G5

Intermission

10:35

11:00

Refreshment, Hallway, 2nd Floor

Oral Presentation 2

11:00

12:20

T36

T37

T38

T40

T41

T42

G6

Lunch

12:20

13:20

General Session Room

Plenary 2

13:20

14:30

General Session Room

Intermission

14:30

14:45

Refreshment, Hallway, 2nd Floor

Oral Presentation 3

14:45

16:05

T43

T44

T45

T46

T47

T48

T28

Intermission

16:05

16:20

Refreshment, Hallway, 2nd Floor

Keynote 4

16:20

17:20

General Session Room

Gift Draw

17:20

18:00

General Session Room

 

 

 

Room Assignments  (Download the Floor Plan and Area Map Here)

Sessions

Room Assignment

Sessions

Room Assignment

All Keynote sessions

General Session Room: Room #215 (B,C,D,E,F,G)

T12, T19, T26, T33, T40, T47

Breakout Room 5: Room #510

All Plenary sessions

General Session Room: Room #215 (B,C,D,E,F,G)

T6, T13, T20, T27, T34, T41, T48

Breakout Room 6: Room #512

T1,   T8,   T15, T22, T36,  T43

Breakout Room 1: Room #215 (A,H)

T5, T7, T14, T21, T28, T35, T42

Breakout Room 7: Room #514

T2,   T9,   T16, T23, T30, T37, T44

Breakout Room 2: Room #201

G1, G2, G5, G6

Breakout Room 8: Room #515

T3,  T10,  T17, T24, T31, T38, T45

Breakout Room 3: Room #203

 

T4,  T11,  T18,  T25, T32, T46

Breakout Room 4: Room #202

 

 

 

 

Keynotes and Plenary Sessions

All Keynotes and Plenary Sessions are in General Session Room: Room #215 (B,C,D,E,F,G)

 

Date

Time

Session

Chair/Speaker

Title

10/11/2019

8:00 - 9:00

KY_1_(Chair)

Famoye, Felix

 

 

 

KY_1_Speaker

Banks, David

Adversarial Risk Analysis

10/11/2019

19:30 - 20:30

KY_2_(Chair)

Sepanski, Jungsywan

 

KY_2_Speaker

Yi, Grace

Making Sense of Noisy Data: Some Issues and Discussions

10/12//2019

8:00 -9:00

KY_3_(Chair)

Lee, Carl

 

KY_3_Speaker

Vander Wiel, Scott

Fitting Stress-Strain Fields in Polycrystalline Materials—Statistical Art and Science

10/12/2019

16:20 – 17:20

KY_4_(Chair)

DasGupta, Anirban

 

KY_4_Speaker

Wolfe, Patrick

Statistical Distributions and Network Testing

 

 

 

 

 

10/11/2019

13:20-14:30

PL_1_(Chair)

Cheng, Chin-I

 

PL_1_1

Sellers, Kimberly

Flexible Regression Models for Dispersed Count Data

 

PL_1_2

Gustafson, Paul

Limiting posterior distributions from partially identified models: How do they arise, and what do they tell us?

10/12/2019

13:20 – 14:30

PL_2_(Chair)

Daniels, John

 

PL_2_1

Datta, Susmita

Advances and Challenges in Single Cell RNA-Seq Analysis

 

PL_2_2

Preisser, John

Estimating the zero cell of multivariate binary data from partially-sampled clusters

 

 

General-Invited sessions (G-x-i: G: General-Invited,  x: Session sequence,  i: Speaker Sequence; I = 0: Session Chair)

All General-Invited sessions are in Room #515

 

General-Invited Session: Topics and Session Chairs

 

Date

Time

Room

Session #

Gen-Invited Session Chair

10/11/19

09:15 - 10:35

515

G_1

Lazar, Drew

10/11/19

11:00 - 12:20

515

G_2

Pararai, Mavis

10/12/19

09:15 - 10:35

515

G_5

Aljarrah, Mohammad A.

10/12/19

11:00 - 12:20

515

G_6

McTague, Jaclyn

 

 

 

10/11/2019

Time

Room

G-1-(Chair)

Lazar, Drew

9:15 – 10:35

Breakout Room 8: Room #515

G-1-1

Abujarad, Mohammed H.A.

Bayesian Survival Analysis of Topp-Leone Generalized Family with Stan

G-1-2

Mynbaev, Kairat

Nonparametric kernel estimation of unrestricted distributions 

G-1-3

Louzada-Neto, Francisco

Efficient Closed-Form MAP Estimators for Some Survival Distributions and Their Applications to Embedded Systems 

G-2-(Chair)

Pararai, Mavis

11:00 – 12:20

Breakout Room 8: Room #515

G-2-1

Ahmed, Bilal Peer

Inflated Size-Biased Modified Power Series Distributions and its Applications

G-2-2

Odhiambo, Collins

Extended version of Zero-inflated Negative Binomial Distribution with Application to HIV Exposed Infant Count Data

G-2-3

Ogawa, Mitsunori

Parameter estimation for discrete exponential families under the presence of nuisance parameters

G-2-4

Peng, Jie

Improved Prediction Intervals for Discrete Distributions

10/12/2019

Time

Room

G-5-(Chair)

Aljarrah, Mohammad

9:15 – 10:35

Breakout Room 8: Room #515

G_5_1

Feng, Yaqin

Stability and instability of steady states for a branching random walk

G_5_2

Sepanski, Jungsywan

Constructing Bivariate Copulas with Distributional Distortions

G_5_3

Lazar, Drew

Robust and scalable optimization on manifolds

G_5_4

Smith, Scott

A Generalization of the Farlie-Gumbel-Morgenstern and Ali-Mikhail-Haq Copulas

G-6-(Chair)

McTague, Jaclyn

11:00 – 12:20

Breakout Room 8: Room #515

G-6-1

McTague, Jaclyn

Repeated Significance Testing of Normal Variables with Unknown Variance

G-6-2

Wang, Dongliang

Empirical likelihood inference for Kolmogorov-Smirnov test given censored data 

G-6-3

Mesbah, Mounir

Current statistical issues in HRQoL research: Testing local independence in latent variable models

G-6-4

Bulut, Murat

Robust Logistic Regression based on Liu estimator

 

 

Topic-Invited Sessions (TI-x-i: TI: Topic-Invited,  x: Session sequence,  i: Speaker Sequence)

 

10/11/2019

Time

Room

Topic

TI_1_(Chair)

Abdelrazeq, Ibrahim

9:15 - 10:35

Breakout Room 1: Room#215(A,H)

Goodness-of-Fit-Tests (in stat modeling)

TI_01_1

Al-Labadi, Luai

A Bayesian Nonparametric Test for Assessing Multivariate Normality

TI_01_2

Oraby, Tamer

Modeling Progression of Co-Morbidity Using Bivariate Markov Chains

TI_01_3

El Ktaibi, Farid

Bootstrapping the Empirical Distribution of a Stationary Process with Change-point

TI_01_4

Abdelrazeq, Ibrahim

The Spread Dynamics of S&P 500 vs Levy-Driven OU Processes

TI_2_(Chair)

Al-Aqtash, Raid

9:15 - 10:35

Breakout Room 2: Room #201

Generalized distributions and Applications

TI_02_1

Elkadry, Alaa

Analyzing Continuous Randomized Response Data with an Indifference-Zone Selection Procedure

TI_02_2

Aljarrah, Mohammad A.

A new generalized normal regression model. 

TI_02_3

Ahmad, Murad

On the class of Transmuted-G Distributions

TI_02_4

Al-Aqtash, Raid

On the Gumbel-Burr XII Distribution; Regression and Application

TI_3_(Chair)

Alzaghal, Ahmad

9:15 - 10:35

Breakout Room 3: Room #203

Distributions and Applications

TI_03_1

Hamed, Duha

New Families of Generalized Lomax Distributions: Properties and Applications

TI_03_2

Hamdan, Hasan (Pre. Abdurasul, Emad)

Approximating and Characterizing Infinite Scale Mixtures

TI_03_3

Johnston, Douglas E.

A Recursive Bayesian Model for the Excess Distribution with Stochastic Parameters

TI_03_4

Abdurasul, Emad

The Product Limit survival function Distribution with Small Sample Inference

TI_4_(Chair)

Amezziane, Mohamed

9:15 - 10:35

Breakout Room 4: Room #202

Models for Complex Data

TI_04_1

Vinogradov, Vladimir (pre. By Yaqin Feng)

On two extensions of Feller-Spitzer class of Bessel densities

TI_04_2

Bhattacharjee, Abhishek

Empirical Bayes Intervals for the Selected Mean

TI_04_3

Yuanqing Zhang

Inference for Partially Linear Additive Higher Order Spatial Autoregressive Model with Spatial Autoregressive Error and unknown Heteroskedasticity

TI_04_4

Nguyen, Yet

A histogram-Based Method for False Discovery Rate Control in Two Independent Experiments

TI_6_(Chair)

Arslan, Olcay

9:15 - 10:35

Breakout Room 6: Room #512

Some non-normal distributions and their applications in robust statistical analysis

TI_6_1

Arslan, Olcay

Multivariate Laplace and multivariate skewed Laplace distributions and their applications  in  robust  statistical  analysis  

TI_6_2

Çelikbıçak, Müge B.

Parameter Estimation in MANOVA with Repeated Non-normal Measures

TI_6_3

Bulut, Yakup Murat

Matrix variate extensions of symmetric and skew Laplace distributions: Properties,  parameter estimation  and  applications  

TI_6_4

Ozdemir, Senay

Combining Heavy-Tailed   Distributions and Empirical Likelihood method for Linear Regression Model 

TI_7_(Chair)

Brazauskas, Vytaras

9:15 - 10:35

Breakout Room 7: Room #514

Actuarial Statistics 

TI_7_1

Su, Jianxi

Full-range tail dependence copulas for modeling dependent insurance and financial data 

TI_7_2

Lee, Gee

General insurance deductible ratemaking (and extensions) 

TI_7_3

Baron, Michael

Sequential testing and post-analysis of credibility 

TI_7_4

Brazauskas, Vytaras

Modeling severity and measuring tail risk of Norwegian fire claims 

TI_8_(Chair)

Chatterjee, Arpita

11:00 - 12:20

Breakout Room 1: Room #215(A,H)

Statistical Advancements in Health Sciences 

TI_8_1

Ghosh, Santu

Two-sample Tests for High Dimensional Means with Prepivoting and Random Projection 

TI_8_2

Maity, Arnab Kumar

Bayesian Data Integration and Variable Selection for Pan-Cancer Survival Prediction using Protein Expression Data 

TI_8_3

Sen, Ananda

Honey I Shrunk the Intercept

TI_8_4

Chatterjee, Arpita

An Alternative Bayesian Testing to Establish Non-inferiority.  

TI_9_(Chair)

Coelho, Carlos Agra

11:00 - 12:20

Breakout Room 2: Room #201

Contemporary Methods in Distribution Theory and Likelihood Inference 

TI_9_1

Chen, Ding-Geng

A statistical distribution for simultaneously modeling skewness, kurtosis and bimodality 

TI_9_2

Bekker, Andriette

Class of matrix variate distributions: a flexible approach based on the mean-mixture of normal model 

TI_9_3

Coelho, Carlos Agra

The test for a two-block circular-spherical covariance structure for samples of random sizes 

TI_9_4

Babic, Sladana

Comparison and classification of flexible distributions for multivariate skew and heavy-tailed data

TI_10_(Chair)

Cooray, Kahadawala

11:00 - 12:20

Breakout Room 3: Room #203

Parametric models for Actuarial Applications 

TI_10_1

Mdziniso, Nonhle Channon

Odd Pareto families of distributions for modeling loss payment data

TI_10_2

Cheng, Chin-I

Bayesian estimators of the Odd Weibull distribution with actuarial application

TI_10_3

Sepanski (sub for Samanthi Ranadeera)

On bivariate distorted copulas  

TI_11_(Chair)

Diawara, Norou

11:00 - 12:20

Breakout Room 4: Room #202

Statistical Methods for Space and Time Applications

TI_11_1

Peng, Stephen

A Flexible Univariate Autoregressive Time-Series Model for Dispersed Count Data 

TI_11_2

Hitchcock, David

A Spatio-temporal Model Relating Gage Height Data to Precipitation at South Carolina Locations 

TI_11_3

Fofana, Demba

Combining Assumptions and Graphical Network into Gene Expression Data Analysis 

TI_11_4

Chaganty, Rao

Models for selecting differentially expressed genes in microarray experiments 

TI_12_(Chair)

Flegal, James M.

11:00 - 12:20

Breakout Room 5: Room #510

Advances in Bayesian Theory and Computation 

TI_12_1

Jones, Galin L.

Fully Bayesian Penalized Regression with a Generalized Bridge Prior 

TI_12_2

Womack, Andrew

Horseshoes, Shape Mixing, and Ultra-sparse Locally Adaptive Shrinkage

TI_12_3

Flegal, James M.

Weighted batch means estimators in Markov chain Monte Carlo 

TI_12_4

Sanz-Alonso, Daniel

Scalable graph-based Bayesian semi-supervised learning 

TI_13_(Chair)

George, Olusegun

11:00 - 12:20

Breakout Room 6: Room #512

Exchangeability in Statistical Inference - Theory and Applications

TI_13_1

Zelterman, Dan

Distributions for Exchangeable p-Values under an unspecified Alternative Hypothesis 

TI_13_2

Peng, Hanxiang

An Empirical Likelihood Approach of Testing of Multivariate Symmetries 

TI_13_3

Szabo, Aniko

Semi-parametric Model for Exchangeable Clustered Binary Outcomes 

TI_13_4

Olufadi, Yunusa

EM Bayesian variable selection for clustered discrete and continuous outcomes 

TI_14_(Chair)

Ghosh, Indranil

11:00 - 12:20

Breakout Room 7 : Room #514

Probability and Statistical models with applications

TI_14_1

Ghosh, Souparno

Coherent Multivariate Feature Selection and Inference across multiple databases 

TI_14_2

Yanev, George P.

On Arnold-Villasen ̃or conjectures for characterizing exponential distribution  

TI_14_3

Alzaatreh, Ayman

Truncated T-X family of distributions

TI_14_4

Mallick, Avishek

An Inflated Geometric Distribution and its application  

TI_15_(Chair)

Berrocal, Veronica

14:45 - 16:05

Breakout Room 1: Room #215(A,H)

Comparing Spatial Fields

TI_15_1

Berrocal, Veronica

Comparing spatial fields to detect systematic biases in regional climate models

TI_15_2

Andrews, Beth

Partially specified spatial autoregressive model with artificial neural network

TI_15_3

Diawara, Norou

Density Estimation of Spatio-temporal Point Patterns using Moran's Statistic

TI_15_4

Daniels, John

Seeing RED:  A New Statistical Solution to an Old Categorical Data Problem

TI_16_(Chair)

Hannig, Jan

14:45 - 16:05

Breakout Room 2: Room #201

Nonlinear Functionals of Probability Distributions 

TI_16_1

Al-Mofleh, Hazem

Wrapped Circular Statistical Distributions and Applications

TI_16_2

Xia, Aihua

Probability Density Quantiles: Their Divergence from or Convergence to Uniformity

TI_16_3

Hannig, Jan

Model Selection without penalty using Generalized Fiducial Inference

TI_16_4

Broniatowski, Michel

A review on divergence based inference in parametric and semiparametric models

TI_17_(Chair)

Kao, Ming-Hung (Jason)

14:45 - 16:05

Breakout Room 3: Room #203

Design and analysis of complex experiments: Theory and applications 

TI_17_1

Sung, Chih-Li(Charlie)

Exploiting variance reduction potential in local Gaussian process search for large computer experiments

TI_17_2

Phoa, Frederick

A systematic construction of cost-efficient designs fororder-of-addition experiments

TI_17_3

Rha, Hyungmin

A probabilistic subset search (PSS) algorithm for optimizing functional data samplingdesigns

TI_17_4

 

 

TI_18_(Chair)

Kozubowski, Tomasz

14:45 - 16:05

Breakout Room 4: Room #202

Discrete Stochastic Models and Applications 

TI_18_1

Tomoaki, Imoto

Bivariate GIT distribution 

TI_18_2

Panorska, Anna K.

Discrete Pareto Distributions, Butterfly Diet Breadth, and Climate Change 

TI_18_3

Otunuga ,  Olusegun

Closed form probability distribution of number of infections at a given time in a stochastic SIS epidemic model

TI_18_4

Schissler, A. Grant

On Simulating Ultra High-Dimensional Multivariate Discrete Data 

TI_19_(Chair)

Kumar, C. Satheesh

14:45 - 16:05

Breakout Room 5: Room #510

Distribution Theory

TI_19_1

Subha, R. Nair

A generalization to the log-Weibull distribution and its applications in cancer research

TI_19_2

Dharmaja, S.H.S.

On logarithmic Kies distribution

TI_19_3

Chacko, Manoj

Bayesian Analysis of Weibull distribution based on Progressive type-II Censored Competing Risks Data

TI_19_4

Kumar, C. Satheesh

On a Wide Class of Discrete Distribution

TI_20_(Chair)

Levine, Michael

14:45 - 16:05

Breakout Room 6: Room #512

Recent advances involving latent variable models for various distributions 

TI_20_1

Levine, Michael

Estimation of two-component skew normal mixtures where one component is known 

TI_20_2

Wu, Yichao

Nonparametric estimation of multivariate mixtures 

TI_20_3

Davila, Victor Hugo Lachos

Finite mixture modeling of censored data using the multivariate skew-normal distribution

TI_20_4

Zhang, Lingsong

On the analysis of data that lies in the cone 

TI_21_(Chair)

Li, Daoji

14:45 - 16:05

Breakout Room 7: Room #514

Big Data and Dimension Reduction  

TI_21_1

Wang, Haiying

Optimal Subsampling: Sampling with Replacement vs Poisson Sampling 

TI_21_2

Chen, Guangliang

All data are "documents": A scalable spectral clustering framework based on landmark points and cosine similarity 

TI_21_3

Zhang, Teng

Robust PCA by Manifold Optimization 

TI_21_4

Li, Daoji

High-dimensional interaction detection with false sign rate control 

TI_22_(Chair)

Chen, Ding-Geng

16:20 - 17:40

Breakout Room 1: Room #215(A,H)

Statistical Modeling for Degradation Data I

TI_22_1

Ng, Hon Keung Tony

Improved Techniques for Parametric and Nonparametric Evaluations of the First-Passage Time of Degradation Processes

TI_22_2

Gao, Yong

A Hierarchical Bayesian Bi-exponential Wiener Process for Luminosity Degradation of Display Products

TI_22_3

Lee, I-Chen 

Global Planning of Accelerated Degradation Tests

TI_22_4

Jayalath, Kalanka

A Bayesian Survival Analysis for the Inverse Gaussian Data

TI_23_(Chair)

Piperigou, Violetta

16:20 - 17:40

Breakout Room 2: Room #201

Advances in distribution theory and statistical methodologies

TI_23_1

Oyamakin S. O.

Some New Nonlinear Growth Models For Biological Processes based on Hyperbolic Sine Function

TI_23_2

Ferreira, Johan

Alternative Dirichlet priors for estimation of Shannon entropyusing countably discrete likelihoods

TI_23_3

Piperigou, Violetta

Maximum Likelihood Estimators for a Class of Bivariate Discrete Distributions

TI_23_4

TI_24_(Chair)

McKean, Joseph

16:20 - 17:40

Breakout Room 3: Room #203

Big Data: Algorithms, Methodology, and Applications 

TI_24_1

Schafer, Chad

Astrostatistics in the Era of LSST 

TI_24_2

Lee, Kevin

Temporal Exponential-Family Random Graph Models with Time-Evolving Latent Block Structure for Dynamic Networks 

TI_24_3

Zeitler, David

Rank Based Estimation With Skew Normal Error Distributions Using Big Data Sets 

TI_24_4

Kapenga, John

Computation of High Dimensions Integrals 

TI_25_(Chair)

Melnykov, Volodymyr

16:20 - 17:40

Breakout Room 4: Room #202

New developments in finite mixture modeling with applications

TI_25_1

Melnykov, Yana

On finite mixture modeling of processes with change points

TI_25_2

Michael, Semhar

Finite mixture of regression models for data from complex survey design

TI_25_3

Sarkar, Shuchismita

Finite mixture modeling and model-based clustering for directed weighted networks

TI_25_4

Melnykov, Igor

Positive and negative equivalence constraints in the semi-supervised K-means algorithm

TI_26_(Chair)

Peng, Jianan

16:20 - 17:40

Breakout Room 5: Room #510

Generalized  and Fiducial Inference with Applications

TI_26_1

Weerahandi, Samaradasa

Generalized Inference with Application to Business and Clinical Analytics 

TI_26_2

Krishnamoorthy, Kalimuthu

Fiducial Inference with Applications 

TI_26_3

GunasekeraSumith  

On Estimating the Reliability in a Multicomponent System based on  Progressively-Censored Data from Chen Distribution 

TI_26_4

Peng, Jianan

Successive Comparisons for One-way Layout  under Heteroscedasticity 

TI_27_(Chair)

Muthukumarana, Saman

16:20 - 17:40

Breakout Room 6: Room #512

Bayesian Methods with Applications 

TI_27_1

Bonner, Simon

Modelling Score Based Data from Photo-Identification Studies of Wild Animals 

TI_27_2

Pratola, Matthew

Adaptive Splitting Bayesian Regression Tree Models for Image Analysis 

TI_27_3

Burkett, Kelly

Markov chain Monte Carlo sampling of gene genealogies conditional on genotype data from trios 

TI_27_4

Muthukumarana, Saman

Model Based Estimation of Baseball Batting Metrics 

TI_5_(Chair)

George, Tyler

16:20 - 17:40

Breakout Room 5:  Room #514

TX Family: Extensions and Inference

TI_5_1

Almomani, Ayman

TX: The Extended Family

TI_5_2

Schmegner, Claudia

TX Family and Horseshoe Priors

TI_5_3

Aldeni, Mahmoud

TX Family and Survival Models

TI_5_4

Bahadi, Taoufik

TX Family of Link functions for Binary Regression

10/12/19

 Time

Room

Topic

TI_30_(Chair)

Oluyede, Broderick

9:15 - 10:35

Breakout Room 2: Room #201

Copulas, Informational Energy, Exponential Dominance and Uncertainty for Generalized and Multivariate Distributions

TI_30_1

Oluyede, Broderick

Informational Energy, Stochastic Inequalities and Bounds for Weighted Weibull-Type Distributions. 

TI_30_2

Makubate, Boikanyo

A New Generalized Weibull Distribution with Applications  to Lifetime Data 

TI_30_3

Kim, Jong Min

Change point detection method with copula conditional distribution to multistage sequential control chart. 

TI_30_4

 

 

TI_31_(Chair)

Omolo, Bernard

9:15 - 10:35

Breakout Room 3: Room #203

Statistical Methods for High‐Dimensional Data Analysis: Application to Genomics 

TI_31_1

Omolo, Bernard

A Model-based Approach to Genetic Association Testing in Malaria Studies

TI_31_2

Galoppo, Travis + Kogan, Clark

A GPU Enhanced Bayesian Ordinal Logistic Regression Model of Hospital Antimicrobial Usage

TI_31_3

Almohalwas, Akram

Analysing of Donald Trump's Twitter Data Using Text Mining and Social Network Analysis 

TI_31_4

TI_32_(Chair)

Ng, Hon Keung Tony

9:15 - 10:35

Breakout Room 4: Room #202

Statistical Models and Methods for Analysis of Reliability and Survival Data 

TI_32_1

Chen, Din-Geng

Homoscedasticity in the Accelerated Failure Time Model 

TI_32_2

Ghosh, Indranil

Bivariate Beta and Kumaraswamy Models developed using the Arnold-Ng Bivariate Beta Distribution 

TI_32_3

Lio, Yuh Long

Estimation of Stress-Strength for Burr XII distribution based on the progressively first failure-censored samples 

TI_32_4

Pal, Suvra

A New Estimation Algorithm for a Flexible Cure Rate Model 

TI_33_(Chair)

Pigeon, Mathieu

9:15 - 10:35

Breakout Room 5: Room #510

Recent developments in predictive distribution modelling with applications in insurance 

TI_33_1

Shi, Peng

Regression for Copula-linked Compound Distributions with Applications in Modeling Aggregate Insurance Claims 

TI_33_2

Mailhot, Melina

Multivariate geometric expectiles and range value-at-risk

TI_33_3

Herrmann, Klaus

The Extreme Value Limit Theorem for Dependent Sequences of Random Variables 

TI_33_4

Duval, Francis

Gradient Boosting-Based Model for Individual Loss Reserving 

TI_34_(Chair)

Provost, Serge

9:15 - 10:35

Breakout Room 6: Room #512

Recent Distributional Advances Involving Population and Sample Moments 

TI_34_1

Provost, Serge

On recovering sample points from their associated moments and certain moment-based density estimation methodologies 

TI_34_2

Nkurunziza, Sévérien

Some identities for the risk and bias of shrinkage-type estimators in elliptically contoured distributions 

TI_34_3

Mohsenipour, Akbar

Approximating the distribution of various types of quadratic expressions on the basis of their moments 

TI_34_4

Kang, Sang (John)

Moment-based density approximation techniques as applied to heavy-tailed distributions 

TI_35_(Chair)

Qingcong Yuan (Org -Qian, Lianfen_

9:15 - 10:35

Breakout Room 7: Room #514

Recent Advances in Analyzing Medical Data and Dimension Reduction 

TI_35_1

Yin, Xiangrong

Moment Kernel for Estimating Central Mean Subspace and Central Subspace 

TI_35_2

Zhang, Wei

Imputation of Missing Data in the State Inpatient Databases 

TI_35_3

He, Wenqing

Perturbed Variance Based Null Hypothesis Tests with An Application to Clayton Models 

TI_35_4

Qian, Lianfen

Recent analysis of semi-competing risks data 

TI_36_(Chair)

Richter, Wolf-Dieter

11:00 - 12:20

Breakout Room 1: Room #215(A,H)

Multivariate distributions 

TI_36_1

Takemura, Akimichi

Holonomic gradient method for evaluation of multivariate probabilities 

TI_36_2

Nolan, John

Multivariate Generalized Logistic Laws 

TI_36_3

Kozubowski, Tomasz

Multivariate models connected with random sums and maxima of dependent Pareto components 

TI_36_4

Richter, Wolf-Dieter

On (p_1,...,p_k)-spherical distributions 

TI_37_(Chair)

Sarhan, Ammar

11:00 - 12:20

Breakout Room 2: Room #201

Generalization of lifetime distributions 

TI_37_1

Sarhan, Ammar

A new extension of the two-parameter bathtub hazard shaped distribution 

TI_37_2

Alzaghal, Ahmad

A Generalized Family of Lindley Distribution: Properties and Applications

TI_37_3

Pararai, Mavis

The Weibull Linear Failure Rate Distribution and Its Applications

TI_37_4

Sinha, Sanjoy K.

Joint modeling of longitudinal and time-to-event data with covariates subject to detection limits

TI_38_(Chair)

Peng, Hanxiang

11:00 - 12:20

Breakout Room 3: Room #203

Empirical Likelihood 

TI_38_1

Peng, Hanxiang

Maximum empirical likelihood estimation in U-statistics based general estimating equations. 

TI_38_2

Yu, Jihnhee

Bayesian empirical likelihood approach to compare quantiles 

TI_38_3

Zhong, Ping-Shou

Order-restricted inference for means with missing values 

TI_38_4

Xie, Yanmei

Analysis of nonignorable missingness in risk factors for hypertension 

TI_40_(Chair)

Wang, Shan

11:00 - 12:20

Breakout Room 5: Room #510

Recent Development in Nonparametric and Semiparametric Techniques​ 

TI_40_1

Wang, Shan

Estimation of SEM with MELE approach

TI_40_2

Liu, Ruiqi

Optimal Nonparametric Inference via Deep Neural Network 

TI_40_3

Zhao, Wei

Optimal Sampling Distributions for Generalized Linear Models  

TI_40_4

Torkashvand, Elaheh

Spatial Dynamical Autocorrelation of fMRI Images 

TI_41_(Chair)

Wang, Xia

11:00 - 12:20

Breakout Room 6: Room #512

Bayesian Modeling of Dependent Non-Gaussian Data 

TI_41_1

Chang, Won

Ice Model Calibration using Semi-continuous Spatial Data 

TI_41_2

Pal, Subhadip 

A Bayesian Framework for Modeling Data on the Stiefel Manifold. 

TI_41_3

Hu, Guanyu 

A Bayesian Joint Model of Marker and Intensity of Marked Spatial Point Processes with Application to Basketball Shot Chart 

TI_41_4

Wang, Xia

Power Link Functions in Ordinal Regression Models with Gaussian Process Priors 

TI_42_(Chair)

Xu, Xiaojian

11:00 - 12:20

Breakout Room 7: Room #514

Optimal design, active learning, and efficient statistics for big data  

TI_42_1

Mandal, Saumen

Constrained optimal designs for estimating probabilities in contingency tables 

TI_42_2

Shay, Garrett Charlie

Probabilistic and non-probabilistic methods of active learning for classification

TI_42_3

Zheng, Wei

Incomplete U-statistic based on division and orthogonal array 

TI_42_4

Xu, Xiaojian

Robust active learning for approximate linear models 

TI_43_(Chair)

Yin, Xiangrong

14:45 - 16:05

Breakout Room 1: Room #215(A,H)

Variable selection and dimension reduction for high-dimension data problems 

TI_43_1

Dong, Yuexiao

On dual model-free variable selection with two groups of variables 

TI_43_2

Shao, Xiaofeng

Inference for change points in high dimensional data 

TI_43_3

Wu, Wenbo

Simultaneous estimation for semi-parametric multi-index models 

TI_43_4

Sriperumbudur, Bharath

Approximate Kernel PCA: Computational vs. Statistical Trade-off 

TI_44_(Chair)

Zhang, Jing

14:45 - 16:05

Breakout Room 2: Room #201

New Explorations for High-Dimensional Big Data Analysis 

TI_44_1

Yuan, Qingcong

A two-stage variable selection approach in the analysis of metabolomics and microbiome data  

TI_44_2

Zhang, Jing

A “Split and Resample” Approach in Big Data Analysis   

TI_44_3

Shahzad, Mirza Naveed

Singh-Maddala Distribution: A new candidate to analyze the extreme value data by linear moment estimation

TI_44_4

Fisher, Thomas

A split and merge strategy to variable selection  

TI_45_(Chair)

Zitikis, Ricardas

14:45 - 16:05

Breakout Room 3: Room #203

Risk Measures: Theory, Inference, and Applications

TI_45_1

Sun, Ning

The Pareto Optimal Design for Earthquake Index-based Insurance Based on Exponential Utilities

TI_45_2

Wu, Jiang

A Financial Contagion Measure Based on the Maximal Tail Dependence Coefficient for Financial Time Series

TI_45_3

Zitikis, Ricardas

Gini Shortfall: A Coherent Risk Measure

TI_45_4

Samanthi, Ranadeera

Methods for Generating Coherent Distortion Risk Measures

TI_46_(Chair)

Lio, Yuhlong

14:45 - 16:05

Breakout Room 4: Room #202

Statistical Modeling for Degradation Data II

TI_46_1

Bandyopadhyay, Tathagata

Inference problems in binary regression model with misclassified responses

TI_46_2

Wang, Yueyao

Building Degradation Index Using Multivariate Sensory Data with Variable Selection

TI_46_3

MeInykov, Volodymyr

On Model-Based Clustering of Time-Dependent Categorical Sequences

TI_46_4

Davies, Katherine

Progressively Type-II Censored Competing Risks Data from the Linear Exponential Distribution

TI_47_(Chair)

Akinsete, Alfred

14:45 - 16:05

Breakout Room 5: Room #510

A new class of generalized distributions 

TI_47_1

Aryal, Gokarna

Transmuted-G Poisson Family 

TI_47_2

Long, Hongwei

The Beta Transmuted Pareto Distribution: Theory and Applications 

TI_47_3

Chhetri, Sher B.

On the Beta-G Poisson Family  

TI_47_4

Pokhrel, Keshav P.

Reliability Models Using the Composite Generalizers of Weibull Distribution 

TI_48_(Chair)

Huang, Hsin-Hsiung

14:45 - 16:05

Breakout Room 6: Room #512

Statistical Methodology For Big Data

TI_48_1

Huang, Hsin-Hsiung

A new statistical strategy for predicting major depressive disorder using whole-exome genotyping data

TI_48_2

Li, Keren

Score-Matching Representative Approach for Big Data Analysis with Generalized Linear Models

TI_48_3

Xu, Mengyu

Simultaneous Prediction intervals for high-dimensional Vector Autoregressive model

TI_48_4

Aburweis, Mohamed

Comparative study of the distribution of repetitive DNA in model organisms abstract

TI_28_(Chair)

Nayak, Tapan

14:45 - 16:05

Breakout Room 7: Room #514

Protection of Respondents' Privacy and Data Confidentiality 

TI_28_1

Zhang, Linjun

The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy

TI_28_2

Sarathy, Rathindra

Statistical Basis for Data Privacy and Confidentiality 

TI_28_3

Zhang, Cheng

Novel Post-randomization Methods for Controlling Identity Disclosure and Preserving Data Utility

TI_28_4

Nayak, Tapan

Discussion 

 

Student Posters (5:40 -6:30 pm on 10/11/2019)

All posters will be presented on the hallway, 2nd floor of the Conference Center

 

 

Last Name

First Name

Title

1

Amponsah

Charles

A Bivariate Gamma Mixture Discrete Pareto Distribution

2

Ash

Jeremy

Confidence band estimation methods for accumulation curves at extremely small fractions with applications to drug discovery

3

Cho

Min Ho

Aggregated Pairwise Classification of Statistical Shapes

4

Damarjian

Hanna

On the Transmuted Exponential Pareto Distribution

5

Das

Manjari

Efficient nonparametric estimation of population size from incomplete lists

6

Farazi

Md Manzur Rahman

Feature Selection for a Predictive Model using Machine Learning Techniques on Mosquito’s Spectral Data

7

George

Tyler

Lack-of-fit Testing Without Replicates Available

8

Goward

Kenneth

A New Generalized Inverse Gaussian Distribution with Bayesian Estimators

9

Ihtisham

Shumaila

Alpha Power Inverse Pareto Distribution and its Properties

10

Ijaz

Muhammad

A New Family of Distributions with Applications

11

Lee

Joo Chul

Online Updating Method to Correct for Measurement Error in Big Data Streams

12

Lun

Zhixin

Simulating from Skewed Multivariate Distributions: The Cases of Lomax, Mardia’s Pareto (Type 1), Logistic, Burr and F Distributions

13

Matuk

James

Function Estimation through Phase and Amplitude Separation

14

Maxwell

Obubu

The Kumaraswamy Inverse Lomax Distribution (K-IL): Properties and Applications

15

May

Paul

Multiresolution Techniques for High Precision Agriculture

16

Melchert

Bryan

Forecasting Migration Timing of Sockeye Salmon to Bristol Bay, AK

17

Mohammed

Mohanad

Using stacking ensemble for microarray-based cancer classification

18

Saha

Dheeman

Sparse Bayesian Envelope

19

Shen

Luyi

Bayesian community detection for weighted sparse networks using mixture of SBM model

29

Shubhadeep

Chakraborty

A New Framework for Distance and Kernel-based Metrics in High Dimensions

21

Ordoñez

José Alejandro

Objective Bayesian Analysis for the Spatial Student t Regression model

22

Soale

Abdul-Nasah

On expectile-assisted inverse regression estimation for sufficient dimension reduction

23

Wang

Yang

On variable selection in matrix mixture modeling

24

Wang

Runmin

Self-Normalization for High Dimensional Time Series

25

Xing

Lin

A metric geometry approach to the weight prediction problem

26

Yao

Yaqiong

Optimal two-stage adaptive subsampling design for softmax regression

27

Yuu

Elizabeth

Quantifying microbial dark matter using generalized linear models and its impact on metagenome analyses

28

Zang

Xiao

Clustering Functional Data using Fisher-Rao Metric

29

Zhang

Han

Aggregate Estimation in Sufficient Dimension Reduction for Binary Responses

30

Zhang

Yangfan

High Dimensional Regression Change Point Detection

31

Zhang

Yingying

On model-based clustering of time-dependent categorical sequences

32

Zhu

Changbo

Interpoint Distance Based Two Sample Tests in High Dimension

33

Galarza

Christian

On moments of folded and truncated multivariate extended skew-normal distributions

34

Yang

Tiantian

A Comparison of Several Missing Data Imputation Techniques for Analyzing Different Types of Missingness