The Schedule

On Information About Covariance Parameters in Gaussian Matern Random Fields. 

Dr. Victor De Oliveira, University of Texas at San Antonio.

Digital Controls: An Efficient, Robust, and Privacy-Preserving Bayesian Tool for Adaptive Information Borrowing from External Data 

Dr. Ying Yuan, UT M.D Anderson Cancer Center, Houston.

Floor Discussion

Land-Use Filtering for Nonstationary Spatial Prediction of Collective Efficacy in an Urban Environment. 

Dr. Kate Calder, University of Texas at Austin.

Fraud Analytics and Adversarial Learning. 

Dr. Tahir Ekin, Texas State University at San Marcos.

Bayesian Meta-Analysis of Penetrance for Cancer Risk with an Extension to Include Studies with Ascertainment Bias. 

Dr. Swati Biswas, University of Texas at Dallas.

Joint modeling under competing risks: An application in cancer 

Dr. Ananda Sen, University of Michigan at Ann Arbor.

Floor Discussion

Bayesian Semi-supervised Keyword Extraction with Only Positive and Unlabeled Data. 

Dr. Xinlei Wang, University of Texas at Arlington.

Predicting the Risk from Volcanic Flows and Mudslides. 

Dr. James Berger, Duke University/ Texas A&M University.

Floor Discussion

RPCA with Truncated Weighted Nuclear Norm and Adaptive Histogram Equalization: A Novel Method for Low-Quality Retinal Image Enhancement.  

Dr. Habte Tadesse LIKASSA, Ding-Geng Chen, Kewei Chen, Yalin Wang,  Wenhui Zhu, Oana Dumitrascu, Dayu Sun, Arizona State University.                                                             

Frequency Band Analysis of Multiple Stationary Time Series.

Connor Brubaker, Jack Manning, Jennifer Yentes, Scott A. Bruce, Texas A&M University at College Station. 

A unified framework for residual diagnostics in generalized linear models and beyond.

Dungang Liu, Zewei Lin, Heping Zhang, Texas State University at San Marcos.

Improving genomic findings through information sharing between a pilot and main study.

Hyeongseon Jeon, Yet Nguyen, Kyu-Sang Lim, Dan Nettleton, University of Houston. 

Gaussian Process State Space models - a new paradigm in the analysis of spatio-temporal data. 

Marcin Jurek, Southern Methodist University.   

Robust Variable Selection in High-dimensional Nonparametric Additive Model.

Suneel Babu Chatla, Abhijit Mandal, University of Texas at El Paso.

Just plug in: optimal Gaussian process modeling for rate of change.

Zejian Liu,  Meng Li, Rice University.

Scalable Learning using Partially Censored Gaussian Process. 

Jian Cao, Matthias Katzfuss , University of Houston.

Robust Parameter Designs Constructed from Hadamard Matrices  

Yingfu Li, University of Houston at Clear Lake.

Bayesian Nonparametric Hypothesis Testing Methods on Multiple Comparisons.

 Zhuanzhuan Ma, University of Texas Rio Grande Valley.  

AI-powered Bayesian Methods for Analyzing Spatial Biomedical Data.

Qiwei Li, The University of Texas at Dallas. 

Deep SpatialNet model with functional inputs: Application in large-scale crop yield prediction.

Yeonjoo Park, Bo Li, Yehua Li, University of Texas San Antonio.

Improved Small Area Inference from Data Integration Using Global-Local Priors.

Dexter Cahoy, University of Houston-Downtown.

Improving Genetic Risk Prediction with Genetic Architecture and Functional Annotations. 

Wei Jiang, University of Texas at Arlington. 

Leveraging Multiple Data Sources for Causal Structure Learning.

Hyunwoong Chang, James Cai, and Quan Zhou, University of Texas at Dallas.

Flexible feature aggregation for microbiome analysis.

Christine Peterson, The University of Texas MD Anderson Cancer Center. 

Discrete Autoregressive Switching Processes in Sparse Graphical Modeling of Multivariate Time Series Data .

Beniamino Hadj-Amar, Rice University. 

Spatio-temporal Fusion Transformers for Long-term Weather Forecasting.

Xinjie Lan, Rice University. 

A Sparse Linear Model for Positive Definite Estimation of Covariance Matrices. 

Rakheon Kim1, Irina Gaynanova2 (University of Michigan),   Baylor University1, University of Michigan2

Accelerated rates regression models for recurrent event data with informative censoring. 

Weixi Zhu, Chuan-Fa Tang, Sy Han Chiou,Southern Methodist University. 

Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data. 

Yabo Niu, University of Houston.

Advancing Competing Risk Analysis: A Flexible Approach Integrating Additive Hazards and Latent Class Models.

Nilotpal Sanyal, University of Texas at El Paso.

Nonparametric Comparisons of Multiple Distributions under Uniform Stochastic Ordering with Survival Data. 

Chuan-Fa Tang, University of Texas at Dallas. 

Clustering and community detection via k-rays 

Jesus Arroyo, Texas A&M University at College Station.

Leveraging External Data for Bayesian Clinical Trial Design via Posterior Predictive Assessments. 

Evan Kwiatkowski, UTHealth Houston.

Estimating the Number of Groups in Panel Data Models: A Penalty-free Perspective. 

Ruiqi Liu, Texas Tech University.