Conference of Texas Statisticians 2019

The Conference of Texas Statisticians (COTS) was established at the annual American Statistical Association (ASA) meeting in Houston, Texas in 1980. Tom Bratcher, Bill Schucany, and Jim Davenport organized the first COTS meeting which was held in Waco, Texas in February, 1981. The conference has been held annually since then. After the successful 1985 meeting in Austin, the Texas Chapters of the ASA were invited to set up the Council of Texas Statisticians with representatives from each Texas Chapter. The COTS meetings afford Texas statisticians the opportunity for social and intellectual exchange on a yearly basis. Senior and junior statisticians as well as students present their research talks or posters at the COTS. These meetings also stimulate increased chapter membership as well as visibility of the statistical profession in the state of Texas. A highlight of each meeting is presentation of the annual Don Owen Award for excellence in research, statistical consultation, and service to the statistical community

The Conference of Texas Statisticians (COTS) 2019 will be held on April 5th to 6th at Lamar University in Beaumont, Texas. Click here for COTS 2019 Booklet. 



April 5th-6th April, 2019

Registraion Deadline: March, 29, 2019

Abstract Submission Deadline:March, 25,2019

                              


 

Guideline for abstract submission

Please send the to abstract to ngope@lamar.edu including the follwing information by March, 25, 2019.

Title of the Study

Name and Email address

Department and Instition Name

Name of Co-authors , Mentor name and email address

Abstract 

Please mention COTS-2019 as the subject for email

Specific Instructions for poster presentation

We suggest the poster to have a size of 36 by 48 inches, which is standard in sciences and engineering.

The goal of your poster is to be a visual guide to reference while you present your research. In your poster try to develop a clear and singular message. Identify and put emphasize on what you want your audience to take away from your work.

Guidelines to build up a poster:

  • Present the motivation of your research;
  • Present a short background of the topic presented;
  • Identify the most significant aspects in the field of study;
  • Select and report only key results;
  • Present the process of collecting data and data processing including relevant details only;
  • Highlight the novelty of your approach;
  • Identify and present the possible further development of the topic.
  • Figures should be large, clear, and well labeled. Make sure you have all the necessary figures.
  • Do not generate paragraphs of text. People will not read them! Instead use short phrases and bullet points, keeping text to the essentials.
  • Include enough information for someone to follow along if you are not there.
  • You need to practice your poster explanation several times. Ask both colleagues & non-experts.

 General structure of the poster:

  • Posters are read left to right, top to bottom.
  • Three column designs are common.
  • Less is more. Stick to the message.
  • Results and conclusion go on the right side of a poster.
  • Put references and acknowledgments at the bottom.
  • Either make all your own figures (preferred), or cite them appropriately. Avoid plagiarism.
  • Favor graphs over tables.

PROGRAM SUMMARY

Friday, April 5th, 2019

 

Time

Activity

12:00-13:00

Registration

13:00-13:20

Opening Remarks

Lynn Maurer, Ph.D., Dean, College of Arts and Sciences, Lamar University
Kumer Das, Ph.D., Professor/University Scholar, Lamar University

13:20-14:10

The Randomized Probability Integral Transform with Applications

For details presentaion, please click here.

Dennis Cox, Ph.D., Rice University, Houston, TX

14:10-15:00

An adaptive model for genetic association tests with flexible pleiotropy structures

Han Hao, Ph.D. University of North Texas, Denton, TX

15:00-15:30

Coffee Break

15:30-16:20

An investigation of correlation structure misspecification for longitudinal gene expression studies.

Jacob Turner, Ph.D, Stephen F. Austin State University, Nacogdoches, TX

16:20-17:10

Degree-correlation, robustness, and vulnerability in finite scale-free networks

For details presentaion, please click here

Jeremy Alm,Ph.D. Lamar University, Beaumont, TX

17:10-17:45

17:00-17:30

COTS Business Meeting

Poster Presentations Set-up

17:30-19:00

Poster Session & Social Hour

19:00-21:00

Banquet Dinner; Welcome Remarks by President Evans, Lamar University
Don Owen Award; Honoring Professors; poster Awards

8th Floor, John Gray Library

 

Saturday, April 6th, 2019

 

Time

Activity

7:00-8:45

Breakfast

8:45-9:15

Quantile Regression for Functional Data

Meng Li, Ph.D.,  Rice University, Houston, TX

9:15-9:45

Statistical Inference for 3D Rock Images using Persistent Homology

Chul Moon, Ph.D., Southern Methodist University, Dallas, TX

9:15-9:45

New Statistical Approaches in Clustering Financial Time Dependent Information

Doo Young Kim, Ph.D., Sam Houston State University, Huntsville, TX

9:45-10:15

Bayesian Function-on-Scalars Regression for High Dimensional Data

Daniel Kowal, Ph.D., Rice University, Houston, TX

10:15-11:00

Coffee Break and Faculty Poster Presentation

11:00-11:30

Matched case-control data with a misclassified exposure: What can be done with instrumental variables?

Authors: Christopher Manuel, Samiran Sinha and Suojin Wang;

Presenting author: Samiran Sinha, Ph.D., Texas A & M University, College Station, TX

11:30-12:00

Bayesian Copula Density Deconvolution for Zero-Inflated Data with Applications in Nutritional Epidemiology

For details presentaion, please click here

Abhra Sarkar, University of Texas at Austin, Austin, TX

12:00-12:10

Closing Remarks

 

POSTER DIRECTORY

POSTER DIRECTORY
1
Importance of Reporting Practical Significance Measures with Large Data Samples
Wafa Salem Aljuhani, Department of Mathematics and Statistics
Sam Houston State University
Mentor: Dr. Melinda Holt
2
Effect of the Unfolded Protein Response and Oxidative Stress on Mutagenesis in CSF3R: A Model for Evolution of Severe Congenital Neutropenia to Myelodysplastic Syndrome and Acute Myeloid Leukemia
Sara Biesiadny
Department of Statistics, Rice University
Co-Authors: Adya Sapra, Roman Jaksik, Hrishikesh Mehta, and Seth J. Corey
Mentor: Dr. Marek Kimmel
3
Intervening in Clostridium difficile Infections in California Hospitals
Erik Boonstra
Department of Mathematics and Statistics
Stephen F. Austin State University
Co-Authors: Isaac Slagel and Katherine Rodriguez;
Mentor: Dr. Daniel Sewell
4
Role of Local Geometry in Robustness of Power Grid Networks
Asim Kumer Dey, Department of Mathematical Sciences
University of Texas at Dallas
Co-authors: Umar Islambekov and Dr. H. Vincent Poor
Mentor: Dr. Yulia R. Gel
5
Bayesian Longitudinal Study of the Smoking Cessation Treatment in Cocaine/Meth Dependent Patients
Moruf Olalekan Disu, Department of Mathematics and Statistics
Sam Houston State University
Mentor:  Dr. Ram C. Kafle
6
A Functional Regression Approach for Studying the Trend of Lung Cancer Incidence Rate
Among Females in the United States
Richard Ekem, Department of Mathematics & Statistics
Sam Houston State University
Mentor: Dr. Ram C Kafle
7
The Role of Statistics in the Fight against Alzheimer’s Disease
Grace Granger, Department of Mathematics
Lamar University
Mentor: Dr. Jasdeep Pannu
8
Predicting Bitcoin Return Using Extreme Value Theory
Mohammad Tariquel Islam, Department of Mathematics
Lamar University
Mentor: Dr. Kumer Das
9
Using shannon's diversity index to discriminate fiber sources from crime scenes
Iromi Nimna Jayawardena, Department of mathematics and statistics
Sam Houston State University
Mentor: Dr. Melinda Holt
10
A Bayesian Approach for Survival Analysis with the Inverse Gaussian Data
Dr. Kalanka P Jayalath and Dr. Raj S Chhikara
University of Houston Clear-Lake
11
A Bayesian Zero-Inflated Negative Binomial Regression Model for the Integrative Analysis of Microbiome Data
Shuang Jiang, Department of Statistical Science, Department of Population and Data Sciences
Southern Methodist University and UT Southwestern Medical Center
Co-authors: Guanghua Xiao, and Andrew Y. Koh
Mentor: Dr. Xiaowei Zhan, and Dr. Qiwei Li
12
Predicting Home Electric Energy Consumption: Comparison between Generalized Regression Neural Network, ARMA and VAR Models
Duwani Wijesinghe Katumullage, Department of Mathematics and Statistics
Sam Houston State University
Mentor: Dr. Ferry Butar
13
Predicting the Outcome of Twenty 20 Cricket while the Game is in Progress: A Statistical Learning Approach
Upeksha Perera, Department of Mathematics and Statistics
Sam Houston State University
Mentor: Dr. Ananda Manage
14
A Critical Look at the Automatic SAS® Forecasting System
Mohammad Afser Uddin, Department of Mathematics and Statistics
Sam Houston State University
Mentor: Dr. Stephen Scariano
15
Sparse function-on-scalar regression using a group bridge approach with application to ECoG/iEEG data
Zhengjia Wang, Department of Statistics, Rice University
Co-authors: John Magnotti, and Michael Beauchamp
Mentor: Dr. Meng Li
 
16
Generalized Regression Neural Network Model: Application of prediction of temperature in Texas
Uthpala Wanigasekara, Department of Mathematics and Statistics
 Sam Houston State University
Mentor: Dr. Ferry Butar
17
Sequential Rerandomization
Dr. Quan Zhou, Department of Statistics
Rice University
Co-authors:   Dr. Philip Ernst, Dr. Kari Morgan, Dr. Donald Rubin, and Dr. Anru Zhang