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Better Living Through Statistics

April 26-27, 2019 at the University of Rochester, New York


EIGHTH ANNUAL CONFERENCE OF THE UPSTATE CHAPTERS OF THE AMERICAN STATISTICAL ASSOCIATION


Abstracts

See Program for more detail.

 

UP-STAT 2019

PROGRAM OUTLINE

 

Friday, April 26

 

9:00-2:00               Registration [Helen Wood Hall Atrium, by the auditorium and Saunders Research Building]

 

10:00-11:45           Tutorials

 

T1:      Analyzing Bitcoin: A Theoretical and Empirical Analysis of How the Bitcoin Protocol Impacts the Market for Bitcoin [1W-304]

 

Andrea Podhorsky, Department of Economics, York University

 

T2:      Machine Learning Applications for Molecular Modeling and Dynamics [2W-213]

 

Gregory Babbitt, Rochester Institute of Technology

 

T3:      Teaching Statistics with Teamwork [2W-216]

 

Carol Marchetti, Rochester Institute of Technology

                                   

12:00-1:45             Tutorials

 

T4:      How to Approach a Big Analysis with R [1W-304]

 

Donald Harrington, University of Rochester

 

T5:      Recent Gaussian Process Evolution with Large Spatial-Temporal Data [2W-213]

 

Bohan Liu, Columbus, Ohio

 

12:00-1:00             Tutorials

T6:      Introduction to Microsoft AI: An Interactive Tutorial on How to Use Microsoft’s New Platform to Solve a Software Engineering Problem [2W-216]

 

Hussain Al Rubaye and Deema Al Shoaibi, Rochester Institute of Technology

 

2:00-3:45               Tutorials

 

T7:      Analyzing Public LIGO and Virgo Data from the Gravitational Wave Open Science Center [2W-213]

 

John Whelan, Rochester Institute of Technology

 

T8:      Statistics for Cybersecurity Measurement and Assessment [2W-216]

 

Josephine Wolff, Rochester Institute of Technology

 

T9:      High Performance Computing for Statistical Machine Learning and Data Science: A Discovery of Methods, Techniques, and Tools with R [1W-304]

 

Ernest Fokoué, Rochester Institute of Technology

 

4:00-5:30               Panel Discussion [1W-304] [MODERATOR: Ernest Fokoué, Rochester Institute of Technology]

 

Our Interconnectedness: One Universal Theme, Many Facets and Views

 

6:00-7:00               Poster Session [Saunders Research Building Atrium]

 

7:00-9:00               Dinner [Saunders Research Building Atrium]

 

Saturday, April 27

 

8:00-8:45               Breakfast/registration/orientation [Saunders Research Building Atrium]

 

8:45-9:15               Welcome [1W-304]

 

9:30-10:15             Parallel sessions

 

Session 1A: Methods to Address Security Vulnerability [1W-501]

Session 1B: Misleading Statistics [1W-502]

Session 1C: Statistical Investigations in Sports Analytics [1W-509]

Session 1D: Methods and Applications in Biostatistics [1W-510]

 

10:25-11:10           Parallel sessions

 

Session 2A: Machine Learning: Methods and Applications [1W-501]

Session 2B: Experimental Design [1W-502]

Session 2C: Analysis of genetic/genomic data [1W-509]

Session 2D: Applications of Data Science [1W-510]

Session 2E: Network Methods and Data [SRB 1.416]

 

11:20-12:05           Parallel sessions

 

Session 3A: Biostatistical Methods for Hypothesis Testing [1W-501]

Session 3B: Probability Distributions [1W-502]

Session 3C: Applications of Data Science and Technology in Education [SRB 1.416]

Session 3D: Connections between Machine Learning and Statistics [1W-509]

Session 3E: Methods for Variable Selection and Measuring Variable Importance [1W-510]

 

12:15-1:15             Lunch [Saunders Research Building Atrium]

 

                               Sponsor sessions [1W-501 and 1W-502]

 

1:25-2:35               Session 4: Keynote Lecture [1W-304]

 

2:45-3:15               Data competition session (three 10-minute presentations) [1W-304]

 

3:30-4:15               Parallel sessions

 

Session 5A: Analysis of Textual Data [1W-501]

Session 5B: Data Analysis for Politics and Policy [1W-502]

Session 5C: Teaching Probability and Statistics / Data Science in Public Health Careers [1W-509]

Session 5D: Statistics in Sports / Coarse-Grain Mapping Operators [1W-510]

 

4:25-5:00               Awards and wrap-up [1W-304]

 

UP-STAT 2018

PROGRAM FOR SATURDAY, APRIL 27

 

SESSION 1A                                                                            1W-501

 

Methods to Address Security Vulnerability

Session Organizer/Chair:    John Handley, Goergen Institute for Data Science, University of Rochester

 

9:30-9:50        In pursuit of insights from vulnerability discovery metrics §

 

Nuthan Munaiah and Andrew Meneely

Department of Software Engineering, Rochester Institute of Technology

 

9:55-10:15      Adv-DWF: Defending against deep-learning-based website fingerprinting attacks with adversarial traces §

 

Mohammad Rahman, Nate Matthews, Aneesh Joshi, and Matthew Wright

Center for Cybersecurity, Rochester Institute of Technology

Mohsen Imani

Qualys, Inc.

 

SESSION 1B                                                                             1W-502

 

Misleading Statistics

Session Organizer/Chair:    Susan Mason, Department of Psychology, Niagara University

 

9:30-9:50        Critical numeracy

 

Susan Mason, Jamie Hagerty, and Kayla Kolacz

Department of Psychology, Niagara University

Elizabeth Reid

Department of Mathematics, Marist College

 

9:55-10:15      Decision-making and statistics

 

Elizabeth Reid

Department of Mathematics, Marist College

 

SESSION 1C                                                                            1W-509

 

Statistical Investigations in Sports Analytics

Session Chair:           Rob Weber, Statistics and Data Sciences Program, St. John Fisher College

 

9:30-9:50        Inferential and sensitivity studies of the baseball wins above replacement metric §

 

Rob Weber

Statistics and Data Sciences Program, St. John Fisher College

 

9:55-10:15      Optimizing NFL receiver route combinations §

 

Jacob Tarnowski and Kaili Saffran

Statistics and Data Sciences Program, St. John Fisher College

 

SESSION 1D                                                                            1W-510

 

Methods and Applications in Biostatistics

Session Chair:           Matthew McCall, Department of Biostatistics and Computational Biology,

University of Rochester Medical Center

 

9:30-9:50        Model-based clustering for high-dimensional longitudinal data with regularization §

 

Luoying Yang and Tongtong Wu

Department of Biostatistics and Computational Biology, University of Rochester Medical Center

 

9:55-10:15      Modeling growth dynamics of premature and termed infants: a SAS macro tool

 

Hongmei Yang and Sanjukta Bandyopadhyay

Department of Biostatistics and Computational Biology, University of Rochester Medical Center

Kristin Scheible, Mary Caserta, and Gloria Pryhuber

Department of Pediatrics, University of Rochester Medical Center

Ann Falsey

Department of Medicine, University of Rochester Medical Center

David Topham

Department of Microbiology and Immunology, University of Rochester Medical Center

 

SESSION 2A                                                                            1W-501

 

Machine Learning: Methods and Applications

Session Chair:           Minh Pham, College of Science, Rochester Institute of Technology

 

10:25-10:45    Multi-stage fault warning for large electric grids using anomaly detection and machine learning §

 

Sanjeev Raja

College of Engineering, University of Michigan

Ernest Fokoué

College of Science, Rochester Institute of Technology

 

10:50-11:10    Zonal influence classification: A robust extension of the nearest neighbors learning

paradigm

 

Ernest Fokoué

College of Science, Rochester Institute of Technology

 

SESSION 2B                                                                             1W-502

 

Experimental Design

Session Chair:           Joseph Voelkel, College of Science, Rochester Institute of Technology

 

10:25-10:45    Simulation-based inference on the response of a {q,2} simplex-lattice design §

 

Tejasv Bedi and Robert Parody

College of Science, Rochester Institute of Technology

 

10:50-11:10    A study of robustness of the serial dilution designs

 

Leonid Khinkis and Milburn Crotzer

Department of Mathematics and Statistics, Canisius College

 

SESSION 2C                                                                            1W-509

 

Analysis of Genetic/Genomic Data

Session Chair:           Sally Thurston, Department of Biostatistics and Computational Biology, University

of Rochester Medical Center

 

10:25-10:45    Survival analysis and feature derivation using latent Dirichlet allocation §

 

Yi Liu Chen

Department of Mathematics, SUNY Geneseo

 

10:50-11:10    Likelihood-based mixture modeling of genetic regulatory networks §

 

David Burton and Matthew McCall

Department of Biostatistics and Computational Biology, University of Rochester Medical Center

 

SESSION 2D                                                                            1W-510

 

Applications of Data Science

Session Chair:           Qiuyi Wu, College of Science, Rochester Institute of Technology

 

10:25-10:45    Childhood Trauma: It doesn’t end there §

 

Nicole Pellman

Statistics Program and School of Education, St. John Fisher College

 

10:50-11:10    Risk analysis using data analysis: Predicting credit card default probability §

 

George Kuliner

Department of Mathematics, SUNY Geneseo

 

SESSION 2E                                                                             SRB 1.416

 

Network Methods and Data

Session Chair:           H. David Sheets, Department of Physics, Canisius College

 

10:25-10:45    A kernel extension of regression analysis with network cohesion §

 

Eddie Pei

College of Science, Rochester Institute of Technology

 

10:50-11:10    Recommender systems for session-based data

 

Iordan Slavov and Naeem Nowrouzi

Hunter College, CUNY

 

SESSION 3A                                                                            1W-501

 

Biostatistical Methods for Hypothesis Testing

Session Chair:           Michael McDermott, Department of Biostatistics and Computational Biology, University of Rochester Medical Center

 

11:20-11:40    Adaptive dose-response studies with generalized multiple contrast tests §

 

                        Shiyang Ma and Michael McDermott

                        Department of Biostatistics and Computational Biology, University of Rochester Medical Center

 

11:45-12:05    Combining dependent p-values with a quantile-based approach §

 

Yu Gu, Michael McDermott, and Xing Qiu

Department of Biostatistics and Computational Biology, University of Rochester Medical Center

 

SESSION 3B                                                                             1W-502

 

Probability Distributions

Session Chair:           Susan Mason, Department of Psychology, Niagara University

 

11:20-11:40    Working with an unknown distribution

 

Bernard Ricca, Kris Green, and Mark McKinzie

Department of Mathematics, Computer Science, and Statistics, St. John Fisher College

 

11:45-12:05    Probability Playground: An interactive website for exploring probability distributions and their relationships §

 

Adam Cunningham

Department of Biostatistics, SUNY at Buffalo

 

SESSION 3C                                                                            SRB 1.416

 

Applications of Data Science and Technology in Education

Session Chair:           Jennifer Bergamo, Department of Mathematics, Onondaga Community College

 

11:20-11:40    Using topic modeling to classify course descriptions

 

Kirk Anne

Computing and Information Technology, SUNY Geneseo

 

11:45-12:05    Introduction to Blockchain: Incorporating emerging technologies in the classroom §

 

Travis Brodbeck

Siena College Research Institute

Necip Doganaksoy

Department of Accounting and Business Law, Siena College

 

SESSION 3D                                                                            1W-509

 

Connections between Machine Learning and Statistics

Session Organizer/Chair:    Xiaoyu Wan, Goergen Institute for Data Science, University of Rochester

 

11:20-11:35    Predicting hospital re-admission for patients hospitalized with diabetes §

 

Xiaoyu Wan

Goergen Institute for Data Science, University of Rochester

 

11:35-11:50    Movie recommendation system using the MovieLens data set §

 

He Huang

Goergen Institute for Data Science, University of Rochester

 

11:50-12:05    Leverage subsampling method §

 

Yuexi Wang

Goergen Institute for Data Science, University of Rochester

 

SESSION 3E                                                                             1W-510

 

Methods for Variable Selection and Measuring Variable Importance

Session Chair:           TBD

 

11:20-11:40    Ridge-penalized subset selection for regression

 

Derick Peterson and Matthew Corsetti

Department of Biostatistics and Computational Biology, University of Rochester Medical Center

 

11:45-12:05    Explanation of novel methods for measuring variable importance in the presence of highly correlated predictors §

 

Sailee Rumao

College of Science, Rochester Institute of Technology

 

SESSION 4                                                                               1W-304

 

Keynote Lecture

Session Chair:           Ernest Fokoué, College of Science, Rochester Institute of Technology

 

1:25-2:35        Opportunities for innovation in data science

 

                        Wendy Martinez

U. S. Bureau of Labor Statistics

 

SESSION 5A                                                                            1W-501

 

Analysis of Textual Data

Session Chair:           Katherine Grzesik, Department of Mathematics, University of Rochester

 

3:30-3:50        Methods of prediction of the emotional intensity of tweets §

 

Intisar Alhamdan

College of Science, Rochester Institute of Technology

 

3:55-4:15        Stylometry: A way to study Shakespeare with statistics

 

Kirk Anne

Computing and Information Technology, SUNY Geneseo

 

SESSION 5B                                                                             1W-502

 

Data Analysis for Politics and Policy

Session Chair:           Bernard Ricca, Department of Mathematics, Computer Science, and Statistics, St. John Fisher College

 

3:30-3:50      An exploratory analysis of drug rehabilitation data and the need for evidence-based policy reform §

 

Liam Rowland and Necip Doganaksoy

Department of Accounting and Business Law, Siena College

 

3:55-4:15        Evaluating partisanship in the 2018 midterm elections: analysis of New York Times Upshot/Siena College Research Institute 2018 live polling data §

 

Travis Brodbeck

Siena College Research Institute

 

SESSION 5C                                                                            1W-509

 

Teaching Probability and Statistics / Data Science in Public Health Careers

Session Organizer/Chair:    Yusuf Bilgic, Department of Mathematics, SUNY Geneseo

 

3:30-3:50        Recognizing data science skills in schools

 

Yusuf Bilgic

Department of Mathematics, SUNY Geneseo

 

3:55-4:15        Perspectives on data science in public health and a review of common statistical methods

 

Christopher Ryan

SUNY Upstate Medical University Binghamton Clinical Campus

 

SESSION 5D                                                                            1W-510

 

Statistics in Sports / Coarse-Grain Mapping Operators

Session Chair:           Jen-Ting Wang, Department of Mathematics, Computer Science, and Statistics, SUNY Oneonta

 

3:30-3:50        Prediction and uncertainty in college hockey

 

John Whelan

College of Science, Rochester Institute of Technology

Adam Wodon

College Hockey News

 

3:55-4:15        Hierarchical graph-based approach to encode coarse-grained mapping operators §

 

Maghesree Chakraborty and Andrew White

Department of Chemical Engineering, University of Rochester

Chenliang Xu

Department of Computer Science, University of Rochester

 

 

 

 § Indicates presentations that are eligible for the student presentation awards