Peter Hall memorial session

Organizer: Tapabrata Maity, Michigan State University
Chair: Tapabrata Maity, Michigan State University
Time: Friday, 15:00–16:30
Room: LInC 228

 

Peter Hall: Some Reminisces

Taps Maiti, Michgan State University

---

Talk 1: Peter Hall: Recollections and Inspirations

Iain Johnstone, Stanford University

---

Talk 2: Peter Hall’s contributions to higher order asymptotics and its impacts

Soumen Lahiri, North Carolina State University

Recent Advances in the Analysis of Neuroimaging Data

Organizer: Farouk Nathoo, University of Victoria
Chair: Xiaohui Chang, Oregon State University
Time: Friday, 15:00–16:30
Room: LInC 268

---

15:00-15:30

Statistical regularization methods incorporating external knowledge: associating brain anatomy and structural connectivity with alcoholism

Jaroslaw Harezlak, Indiana University

---

15:30-16:00

A linear modeling framework for statistical inference on networks

Ivor Cribben, University of Alberta

---

16:00-16:30

Sparse Wavelet quantile regression with multiple predictive curves

Li Zhang, University of Alberta

Paired Functional Data Analysis, Hypothesis Test for Covariance Matrix, and Mixed Effects Models

Organizer: Subir Ghosh, University of California, Riverside
Chair: Shemra Rizzo, University of California, Riverside
Time: Friday, 15:00–16:30
Room: LInC 368

---

15:00-15:30

Modeling and Analysis of Paired Functional Method Comparison Data

Pankaj K. Choudhary, University of Texas at Dallas

---

15:30-16:00

Hypothesis test on structured covariance matrix

Anuradha Roy, University of Texas at San Antonio

---

16:00-16:30

Near Optimum Estimation of Variance Components in Mixed Effects Models

Subir Ghosh, University of California, Riverside

Frontiers in Spatial Statistics

Organizer: Somak Dutta, Iowa State University
Chair: Chunxiao Wang, Oregon Sate University
Time: Friday, 15:00–16:30
Room: LInC 345

---

15:00-15:30

Bayesian Spatio-temporal Model for Monitoring & Predicting Changes in Forest Conditions

Avishek Chakraborty, University of Arkansas

---

15:30-16:00

Empirical Likelihood Tests for Alternative Spatial Dependence Structures in Markov Random Fields

Mark Kaiser, Iowa State University

---

16:00-16:30

Spatial mixed linear models on three dimensional regular array

Somak Dutta, Iowa State University

Real World Evidence in Clinical Trial: Synthesizing Evidence With Heterogeneity

Organizer: Rong Liu, Bayer Healthcare
Chair: Rong Liu, Bayer Healthcare
Time: Friday, 15:00–16:30
Room: LInC 350

---

15:00-15:30

Challenges and considerations in leveraging real world evidence for regulatory decision making

Theodore Lystig, Medtronic

---

15:30-16:00

Talk TBD

Shanthi Sethuraman, Eli Lilly and Company

---

16:00-16:30

On the use of co-data in clinical trials

Satrajit Roychoudhury, Novartis Pharmaceutical Company

Statistical Methods for Next Generation Sequencing Studies

Organizer: Bhramar Mukherjee, University of Michigan
Chair: Bhramar Mukherjee, University of Michigan
Time: Friday, 15:00–16:30
Room: LInC 302

---

15:00-15:30

Improving power for rare variant tests by integrating external controls

Seunggeun Lee, University of Michigan

---

15:30-16:00

Post-hoc marker-set analysis—a false negative control procedure for rare variant analysis at single locus level

Jung-Ying Tzeng, North Carolina State University

---

16:00-16:30

Statistical approaches for predicting the functional effect of genetic variation

Iuliana Ionita-Laza, Columbia University

Student Paper Competition

Chair: Fritz Scheuren, Senior Fellow and Vice President, NORC; past ASA president
Time: Friday, 15:00–17:00
Room: LInC 314

---

15:01–15:17

Perturbation Bootstrap in Adaptive Lasso

Debraj Das, North Carolina State University

---

15:18–15:34

Modeling Tangential Vector Fields on the sphere

Minjie Fan, University of California, Davis

---

15:35–15:52

A model selection criterion for regression estimators based on data depth

Subhabrata Majumdar , University of Minnesota

---

15:52–16:08

First Order Probabilities for Galton-Watson Trees

Moumanti Podder, Courant Institute of Mathematical Sciences, New York University

---

16:09–16:25

Compressed Covariance Matrix Estimation with Automated Dimension Learning

Gautam Sabnis, Florida State University

---

16:26–16:42

Inference for respondent Driven Sampling with Misclassification

Isabelle Beaudry, University of Massachusetts Amherst

---

16:43–17:00

Bayesian predictive analysis of daily precipitation data in the Missouri River Basin

Saikumar Popuri, University of Maryland, Baltimore County