Online Program Home
  My Program

All Times EDT

Legend:
* = applied session       ! = JSM meeting theme

Activity Details


100 * !
Mon, 8/3/2020, 1:00 PM - 2:50 PM Virtual
Statistical Innovations for Drug Approval and Reimbursement for Rare Disease — Invited Papers
International Indian Statistical Association, Biopharmaceutical Section, Health Policy Statistics Section
Organizer(s): Amit Bhattacharyya, Alexion Pharmaceuticals
Chair(s): Amit Bhattacharyya, Alexion Pharmaceuticals
1:05 PM On Analysis of Single Arm Trial with Natural History Controls
Qing Liu, Quantitative and Regulatory Medical Science, LLC
1:25 PM Challenges in Rare Disease Clinical Trials: The PREVENT Trial for NMOSD
Fanny O'Brien, Alexion
1:45 PM Predictive Models in Rare Diseases: Risks and Opportunities in Clinical Trials, with Examples in Amyotrophic Lateral Sclerosis (ALS)
Alex Karanevich, EMB Statistical Solutions
2:05 PM Innovative Designs and Rare Diseases: Bridging Information Through Evidence Synthesis
Satrajit Roychoudhury, Pfizer Inc.
2:25 PM Use Case Scenario: Indirect Comparisons to Enhance Reimbursement Negotiations in Rare Disease
Jinesh Shah, CSL Behring
2:45 PM Floor Discussion
 
 

138
Tue, 8/4/2020, 10:00 AM - 11:50 AM Virtual
Digging into Models: Statistical Theory Inspired by Environmental Applications — Invited Papers
Section on Statistics and the Environment, International Indian Statistical Association, IMS
Organizer(s): William Kleiber, University of Colorado
Chair(s): Douglas Nychka, Colorado School of Mines
10:05 AM Change-Set Analysis and Related Asymptotics with Application to Spatial Clustering in Environmental Health
Jun Zhu, University of Wisconsin; Pei-Sheng Lin, National Health Research Institutes
10:30 AM Inverse and Decorrelating Operators for Matern Covariances
Joseph Guinness, Cornell University
10:55 AM Whittle Likelihood for Irregularly Spaced Spatial Data
Soutir Bandyopadhyay, Colorado School of Mines
11:20 AM The Matérn Covariance Function on the Sphere
Emilio Porcu, Trinity College at Dublin
11:45 AM Floor Discussion
 
 

165
Tue, 8/4/2020, 10:00 AM - 11:50 AM Virtual
Bayesian Methods in Structured Data and High-Dimensional Problem: Some Recent Advances — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, International Indian Statistical Association
Organizer(s): Nilabja Guha, University of Massachusetts, Lowell
Chair(s): Arnab K Maity, Pfizer
10:05 AM Empirical Priors for Inference on High-Dimensional Structured Parameters
Ryan Martin, North Carolina State University
10:25 AM New Directions in Bayesian Change-Point Detection in High Dimension
Nilabja Guha, University of Massachusetts, Lowell
10:45 AM Bayesian Sparse Signal Recovery: Gaussian Models and Beyond
Jyotishka Datta, University of Arkansas
11:05 AM Covariate Informed Multivariate Density Deconvolution for Structured Dietary Recall Data
Abhra Sarkar, University of Texas at Austin
11:25 AM Variational Bayes for Inverse Problems
Anirban Battacharya, Texas A&M University
11:45 AM Floor Discussion
 
 

283
Wed, 8/5/2020, 10:00 AM - 11:50 AM Virtual
Theoretical Advances in Deep Learning — Invited Papers
IMS, Section on Nonparametric Statistics, International Indian Statistical Association
Organizer(s): Po-Ling Loh, UW-Madison
Chair(s): Po-Ling Loh, UW-Madison
10:05 AM Good Linear Classifiers Are Abundant in the Interpolating Regime
Jason Klusowski, Rutgers University; Ryan Theisen, UC Berkeley; Michael Mahoney, UC Berkeley
10:20 AM Multiple Descent Phenomenon, Risk of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels
Tengyuan Liang, University of Chicago
10:35 AM Polylogarithmic Width Suffices for Gradient Descent to Achieve Arbitrarily Small Test Error with Shallow ReLU Networks
Matus Telgarsky, University of Illinois - Urbana Champaign
10:50 AM Discussant: Edgar Dobriban, University of Pennsylvania
11:05 AM Discussant: Daniel Hsu, Columbia University
11:20 AM Discussant: Mikhail Belkin, Ohio State University
11:30 AM Floor Discussion
 
 

311 * !
Wed, 8/5/2020, 10:00 AM - 11:50 AM Virtual
Modern Statistical Methods for Imaging Genomics — Topic Contributed Papers
Section on Statistics in Imaging, Biometrics Section, International Indian Statistical Association
Organizer(s): Shariq Mohammed, University of Michigan; Arvind Rao, University of Michigan
Chair(s): Arvind Rao, University of Michigan
10:05 AM Thresholded Graph Laplacian Gaussian Priors for Bayesian Network Marker Selection with Application to Cancer Imaging Genomics
Jian Kang, University of Michigan
10:25 AM Issues in Integrating Genomics and Imaging Data in Cancer
Debashis Ghosh, University of Colorado, School of Public Health
10:45 AM Statistical Models for 3D Images
Sayan Mukherjee, Duke University
11:05 AM RADIOHEAD: Radiogenomic Analysis Incorporating Tumor Heterogeneity in Imaging Through Densities
Shariq Mohammed, University of Michigan; Karthik Bharath, University of Nottingham; Sebastian Kurtek, The Ohio State University; Arvind Rao, University of Michigan; Veera Baladandayuthapani, University of Michigan
11:25 AM A Bayesian 2D Functional Linear Model: Application to GLCM Matrices in LGG Cancer Radiomics Data Presentation
Thierry Chekouo , University of Calgary; Shariq Mohammed, University of Michigan; Arvind Rao, University of Michigan
11:45 AM Floor Discussion
 
 

400 * !
Wed, 8/5/2020, 1:00 PM - 2:50 PM Virtual
Multiple Aspects of Bayesian Model Selection and Variable Selection in Linear and Nonlinear Models — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), International Indian Statistical Association, Text Analysis Interest Group
Organizer(s): Arnab K Maity, Pfizer
Chair(s): Arnab K Maity, Pfizer
1:05 PM High-Dimensional Bayesian Model Averaging for Gene Network Inference
Adrian Raftery, University of Washington
1:25 PM Generative modeling of compositional count data based on the Dirichlet-tree model with application to microbiome studies
Li Ma, Duke University; Jialiang Mao, Duke University
1:45 PM Bayesian Hierarchical Modeling for Process Optimization
Min Wang, The University of Texas at San Antonio; Linhan Ouyang, Nanjing University of Aeronautics and Astronautics; Chanseok Park, Pusan National University; Yan Ma, Nanjing University of Science and Technology; YiZhong Ma, Nanjing University of Science and Technology
2:05 PM Probabilistic Machine Learning for Uncertainty Quantification of Neutron Star Radius
Debdeep Pati, Texas A&M University; Anirban Battacharya, Texas A&M University; Yeunhwan Lim, Max Planck Institut für Kernphysik, Technische Universität Darmstadt; Jeremy Holt, Texas A&M University
2:25 PM Floor Discussion
 
 

411 *
Wed, 8/5/2020, 1:00 PM - 2:50 PM Virtual
Innovative Modeling of Risks in the SAMSI GDRR Program — Topic Contributed Papers
Section on Risk Analysis, International Indian Statistical Association, Section on Bayesian Statistical Science
Organizer(s): Sanjib Basu, University of Illinois At Chicago
Chair(s): Jian Zou, Worcester Polytechnic Institute
1:05 PM Explaining Aggressive Provider Billing Behavior via Quantile Variable Selection Models Presentation
Tahir Ekin, Texas State University; Paul Damien, University of Texas Austin
1:25 PM Risk-Based Management for Cervical Cancer Screening
Didem Egemen, National Cancer Institute - NIH; Li Cheung, US National Cancer Institute; Mark Schiffman, National Cancer Institute - NIH
1:45 PM Modeling Risks from Environmental Mixtures
Sanjib Basu, University of Illinois At Chicago; Jiyeong Jang, University of Illinois at Chicago
2:05 PM Effects of Risk Attitudes and Information Friction on Willingness to Pay for Precautionary Building Standards
Sebastain Awondo, University of Alabama; Kevin Egan, University of Toledo; Lawrence Powell, University of Alabama
2:25 PM Development of an Augmented Finite Weakest-Link Load-Sharing Model and Its Application to Explain the Physical Failure Process of a High-K Gate Dielectrics of a Semiconductor
David Han, The University of Texas at San Antonio
2:45 PM Floor Discussion
 
 

564 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Solving Environmental Problems Through Data Assimilation — Invited Papers
International Indian Statistical Association, Section on Statistics and the Environment, The International Environmetrics Society
Organizer(s): Surajit Ray, University of Glasgow
Chair(s): Ben Seiyon Lee, Penn State University
3:05 PM Developing Statistical Downscaling to Improve Water Quality Understanding and Management in the Ramganga Sub-Basin
Surajit Ray, University of Glasgow; Marian Scott, University of Glasgow; Claire Miller , University of Glasgow
3:30 PM Robust and Efficient Analysis Approaches of Remote Imagery for Assessing Population and Forest Health in India
Carola-Bibiane Schönlieb, University of Cambridge; David Coomes, University of Cambridge; James Woodcock, University of Cambridge
4:05 PM Spatio-temporal Bayesian modeling of precipitation using rain gauge data from the Hubbard Brook Experimental Forest, New Hampshire, USA
Sujit Kumar Sahu, University of Southampton; Khandoker Shuvo Bakar, CSIRO, Data 61
4:35 PM Floor Discussion
 
 

583 !
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Learning Network Structure in Heterogeneous Populations — Topic Contributed Papers
Section on Statistical Learning and Data Science, Royal Statistical Society, International Indian Statistical Association
Organizer(s): Sandipan Roy, University of Bath
Chair(s): Sandipan Roy, University of Bath
3:05 PM Modeling Network Time Series Using Generalized Network AutoRegression (GNAR)
Kathryn Leeming, University of Warwick; Marina Knight, University of York; Guy Nason, Imperial College London; Matthew Nunes, University of Bath
3:25 PM Sparse Locally-Stationary Wavelet Processes
Alexander Gibberd, Lancaster Unviersity
3:45 PM Efficient Estimation of Change Points in Regime Switching Dynamic Markov Random Fields
Jing Ma, Texas A&M University
4:05 PM Fast Algorithms for Detection of Structural Breaks in High-Dimensional Data
George Michailidis, University of Florida
4:25 PM Optimistic Binary Segmentation with an Application in Change Point Detection Methodologies for Graphical Models in the Presence of Missing Values
Solt Kovács, ETH Zurich; Peter Bühlmann, ETH Zurich; Lorenz Haubner, ETH Zurich; Housen Li, University of Göttingen; Malte Londschien, ETH Zurich; Axel Munk, University of Göttingen
4:45 PM Floor Discussion