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THURSDAY
8:30–17:00
17:30–19:30
Wine and Cheese Reception
Location: Hilton Garden Inn
FRIDAY | SATURDAY | SUNDAY |
|---|---|---|
7:30–8:30 | 8:00–8:30 | 8:00–9:30 |
| REGISTRATION | REGISTRATION | SESSION IP3a1 Probability theory and networks |
8:30–9:00 | 8:30–10:00 | SESSION IP3a2 Recent advances in time series and spatial analysis |
| INAUGURATION Sastry Pantula, Oregon State University Cindy Sagers, Oregon State University Ginny Lesser, Oregon State University Amarjot Kaur, IISA | KEYNOTE SESSION 2 Kathy Ensor, Rice University Debashis Ghosh, University of Colorado Anschutz Medical Campus | SESSION IP3a3 Statistical Innovation in Biomedical Sciences |
9:00–10:00 | SESSION IP3a4 Statistical Inference for High Dimensional Data |
|
| PLENARY TALK Some Societal High Impact Studies from Statistics on Manifolds Kanti Mardia, University of Leeds and University of Oxford | SESSION CP1 Contributed Session 1 |
|
10:00–10:30 | 10:00–10:30 | 9:30–10:00 |
| COFFEE BREAK | COFFEE BREAK | COFFEE BREAK |
10:30–12:00 | 10:30–12:00 | 10:00–11:30 |
| PANEL 1 Panel on Career Development Skillsets for a Successful Statistician | SESSION SP 1 Women in statistics | SESSION IP3b1 Randomized Response Models |
| SESSION IP1a1 Feature selection for high dimensional data; | SESSION SP 2 Young researcher session | SESSION IP3b2 Statistics for complex data structures |
| SESSION IP1a2 (ICSA Sponsored) Recent developments in nonparametric statistics and their applications | SESSION IP2a1 (ICSA Sponsored) Recent advances in nonparametric methods and model selection | SESSION IP3b3 New directions in network analysis |
| SESSION IP1a3 Modeling and Analysis of Queueing System | SESSION IP2a2 High Dimensional Inference | SESSION IP3b4 Multivariate methods |
| SESSION IP1a4 Ecological Applications in Statistics | SESSION IP2a3 Statistical Evidence in Practice: Effect Size on Probability Scale | SESSION IP3b5 Some Recent Contributions in Biostatistics |
| SESSION IP1a5 Statistical Analysis of Biomedical data | SESSION IP2a4 Models and limit theorems | SESSION CP2 Contributed Session 2 |
| SESSION IP1a6 Statistical methods for single-cell analysis | SESSION IP2a5 Optimize Clinical Trial Information: Evidence Based Approaches | |
| SESSION IP2a6 Big Data: Challenges and opportunities | ||
12:00–13:30 | 12:00–13:30 | 11:30–13:00 |
| LUNCH | LUNCH | SESSION IP3c1 Statistical Inference for Geometric Objects |
13:30–15:00 | 13:30–14:30 | SESSION IP3c2 Inference on complex dependent data structures |
| KEYNOTE SESSION 1 Ajit Tamhane , Northwestern University Kannan Natarajan, Novartis Pharmaceuticals | PLENARY TALK Statistical Paradises and Paradoxes in Big Data Xiao-Li Meng, Harvard University | SESSION IP3c3 High-dimensional time series |
15:00–16:30 | 14:30–16:00 | SESSION IP3c4 Random Graphs and Networks |
| SESSION M1 Peter Hall Memorial Session | SESSION M2 Emanuel Parzen Memorial session | 13:00–14:30 |
| SESSION IP1b1 Recent Advances in the Analysis of Neuroimaging Data | SESSION IP2b1 (KISS Sponsored) Recent Advances in Dimensionality Reduction | LUNCH |
| SESSION IP1b2 Paired Functional Data Analysis, Hypothesis Test for Covariance Matrix, and Mixed Effects Models | SESSION IP2b2 Shape constrained inference II | |
| SESSION IP1b3 Frontiers in Spatial Statistics | SESSION IP2b3 Statistics in Climate Sciences | |
| SESSION IP1b4 Real World Evidence in Clinical Trial: Synthesizing Evidence With Heterogeneity | SESSION IP2b4 Variable Selection Approaches and Applications in Public Health | |
| SESSION IP1b5 Statistical Methods for Next Generation Sequencing Studies | SESSION IP2b5 Recent statistical advances in genetic mapping of complex traits | |
| SESSION S1 (15:00–17:00) Student paper competition | SESSION IP2b6 Trends and Innovations in Clinical Trial Design | |
| SESSION IP2b7 Inference from regression models | ||
16:30–17:00 | 16:00–16:30 | |
| COFFEE BREAK | COFFEE BREAK | |
17:00–18:30 | 16:30–18:00 | |
| PANEL 1 Panel on Statistical Collaborations Across Organizations – A Step in the Right Direction | SESSION IP2c1 (KISS Sponsored) Statistical Modeling for Correlated Data | |
| SESSION IP1c1 Shape Constrained Inference I | SESSION IP2c2 Understanding Non-Convex Optimization Problems in Statistical Learning | |
| SESSION IP1c2 Complex Biostatistical Data Modeling, Probing, and Analysis | SESSION IP2c3 Big Data in Biological Sciences | |
| SESSION IP1c3 Cutting Edge Biostatistical Research | SESSION IP2c4 On distributions and their properties | |
| SESSION IP1c4 Pharmaceutical Statisticians: Who are We? | SESSION IP2c5 Learning and Predictive Models for Complex Systems | |
| SESSION IP1c5 A Variety of Dimension Reduction Techniques | SESSION IP2c6 Early Phase Clinical Trials: A Multi-Dimensional Problem | |
| SESSION IP1c6 Statistical Inference on Networks | SESSION IP2c7 Computational methods for Bayesian model selection | |
| SESSION IP1c7 Recent advances in Bayesian Techniques | SESSION IP2c8 Topics in theoretical statistics and Applied Probability | |
18:00–19:30 | ||
| POSTER SESSION & WINE BAR (Sponsored by College of Science) CH2M HILL Alumni Center | ||
19:30–21:30 | ||
| BANQUET DINNER, AWARDS | ||