{"id":445,"date":"2016-07-11T10:57:11","date_gmt":"2016-07-11T17:57:11","guid":{"rendered":"http:\/\/blogs.oregonstate.edu\/iisa\/?page_id=445"},"modified":"2016-08-26T10:36:58","modified_gmt":"2016-08-26T17:36:58","slug":"program-overview","status":"publish","type":"page","link":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/program-overview\/","title":{"rendered":"Program Overview"},"content":{"rendered":"

View conference program<\/a> (PDF)<\/h2>\n

View abstract book<\/a> (PDF)<\/h2>\n

THURSDAY<\/h2>\n

8:30\u201317:00<\/strong><\/h3>\n

Short course schedule \u2192<\/a><\/big><\/strong><\/p>\n

17:30\u201319:30<\/strong><\/h3>\n

Wine and Cheese Reception<\/big><\/strong>
\nLocation: <\/b>Hilton Garden Inn<\/p>\n

 <\/p>\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t

FRIDAY<\/strong><\/h2><\/th>

SATURDAY<\/strong><\/h2><\/th>

SUNDAY<\/strong><\/h2><\/th>\n<\/tr>\n<\/thead>\n

7:30–8:30<\/strong><\/td>

8:00–8:30<\/strong><\/td>

8:00–9:30<\/strong>
\nCONCURRENT SESSIONS 3A<\/td>\n<\/tr>\n

REGISTRATION<\/b><\/td>REGISTRATION<\/b><\/td>SESSION IP3a1<\/b>
\nProbability theory and networks <\/td>\n<\/tr>\n

8:30–9:00<\/strong><\/td>

8:30–10:00<\/strong><\/td>

SESSION IP3a2<\/b><\/a>
\nRecent advances in time series and spatial analysis<\/td>\n<\/tr>\n
INAUGURATION<\/b><\/a>
\nSastry Pantula<\/b>, Oregon State University
\nCindy Sagers<\/b>, Oregon State University
\nGinny Lesser<\/b>, Oregon State University
\nAmarjot Kaur<\/b>, IISA<\/td>		KEYNOTE SESSION 2<\/b><\/a>
\nKathy Ensor<\/b>, Rice University
\nDebashis Ghosh<\/b>, University of Colorado Anschutz Medical Campus<\/td>		SESSION IP3a3<\/b><\/a>
\nStatistical Innovation in Biomedical Sciences<\/td>\n<\/tr>\n

9:00–10:00<\/strong><\/td>

<\/td>SESSION IP3a4<\/b><\/a>
\nStatistical Inference for High Dimensional Data<\/td>\n<\/tr>\n
PLENARY TALK<\/b><\/a>
\nSome Societal High Impact Studies from Statistics on Manifolds
\nKanti Mardia, University of Leeds and University of Oxford<\/td>		<\/td>SESSION CP1<\/b><\/a>
\nContributed Session 1<\/td>\n<\/tr>\n

10:00–10:30<\/strong><\/td>

10:00–10:30<\/strong><\/td>

9:30–10:00<\/strong><\/td>\n<\/tr>\n

COFFEE BREAK<\/b><\/td>COFFEE BREAK<\/b><\/td>COFFEE BREAK<\/b><\/td>\n<\/tr>\n

10:30–12:00<\/strong>
\nCONCURRENT SESSIONS 1A<\/a><\/td>

10:30–12:00<\/strong>
\nCONCURRENT SESSIONS 2A<\/a><\/td>

10:00–11:30<\/strong>
\nCONCURRENT SESSIONS 3B<\/td>\n<\/tr>\n

PANEL 1<\/b><\/a>
\nPanel on Career Development Skillsets for a Successful Statistician<\/td>		SESSION SP 1<\/b><\/a>
\nWomen in statistics<\/td>		SESSION IP3b1<\/b><\/a>
\nRandomized Response Models<\/td>\n<\/tr>\n
SESSION IP1a1<\/b><\/a>
\nFeature selection for high dimensional data;<\/td>		SESSION SP 2<\/b><\/a>
\nYoung researcher session<\/td>		SESSION IP3b2<\/b><\/a>
\nStatistics for complex data structures<\/td>\n<\/tr>\n
SESSION IP1a2 (ICSA Sponsored)<\/b><\/a>
\nRecent developments in nonparametric statistics and their applications <\/td>		SESSION IP2a1 (ICSA Sponsored)<\/b><\/a>
\nRecent advances in nonparametric methods and model selection<\/td>		SESSION IP3b3<\/b><\/a>
\nNew directions in network analysis <\/td>\n<\/tr>\n
SESSION IP1a3<\/b><\/a>
\nModeling and Analysis of Queueing System<\/td>		SESSION IP2a2<\/b><\/a>
\nHigh Dimensional Inference<\/td>		SESSION IP3b4<\/b><\/a>
\nMultivariate methods<\/td>\n<\/tr>\n
SESSION IP1a4<\/b><\/a>
\nEcological Applications in Statistics<\/td>		SESSION IP2a3<\/b><\/a>
\nStatistical Evidence in Practice: Effect Size on Probability Scale<\/td>		SESSION IP3b5<\/b><\/a>
\nSome Recent Contributions in Biostatistics<\/td>\n<\/tr>\n
SESSION IP1a5<\/b><\/a>
\nStatistical Analysis of Biomedical data<\/td>		SESSION IP2a4<\/b><\/a>
\nModels and limit theorems <\/td>		SESSION CP2<\/b><\/a>
\nContributed Session 2<\/td>\n<\/tr>\n
SESSION IP1a6<\/b><\/a>
\nStatistical methods for single-cell analysis <\/td>		SESSION IP2a5<\/b><\/a>
\nOptimize Clinical Trial Information: Evidence Based Approaches<\/td>		<\/td>\n<\/tr>\n
<\/td>SESSION IP2a6<\/b><\/a>
\nBig Data: Challenges and opportunities<\/td>		<\/td>\n<\/tr>\n

12:00–13:30<\/strong><\/td>

12:00–13:30<\/strong><\/td>

11:30–13:00<\/strong>
\nCONCURRENT SESSIONS 3C<\/td>\n<\/tr>\n

LUNCH<\/b><\/td>LUNCH<\/b><\/td>SESSION IP3c1<\/b><\/a>
\nStatistical Inference for Geometric Objects<\/td>\n<\/tr>\n

13:30–15:00<\/strong><\/td>

13:30–14:30<\/strong><\/td>

SESSION IP3c2<\/b><\/a>
\nInference on complex dependent data structures<\/td>\n<\/tr>\n
KEYNOTE SESSION 1<\/b><\/a>
\nAjit Tamhane , Northwestern University
\nKannan Natarajan, Novartis Pharmaceuticals<\/td>		PLENARY TALK<\/b><\/a>
\nStatistical Paradises and Paradoxes in Big Data
\nXiao-Li Meng, Harvard University<\/td>		SESSION IP3c3<\/b><\/a>
\nHigh-dimensional time series <\/td>\n<\/tr>\n

15:00–16:30<\/strong>
\nCONCURRENT SESSIONS 1B<\/a><\/td>

14:30–16:00<\/strong>
\nCONCURRENT SESSIONS 2B<\/td>

SESSION IP3c4<\/b><\/a>
\nRandom Graphs and Networks<\/td>\n<\/tr>\n
SESSION M1<\/b><\/a>
\nPeter Hall Memorial Session <\/td>		SESSION M2<\/b><\/a>
\nEmanuel Parzen Memorial session<\/td>

13:00–14:30<\/strong><\/td>\n<\/tr>\n

SESSION IP1b1<\/b><\/a>
\nRecent Advances in the Analysis of Neuroimaging Data<\/td>		SESSION IP2b1 (KISS Sponsored)<\/b><\/a>
\nRecent Advances in Dimensionality Reduction<\/td>		LUNCH<\/b><\/td>\n<\/tr>\n
SESSION IP1b2<\/b><\/a>
\nPaired Functional Data Analysis, Hypothesis Test for Covariance Matrix, and Mixed Effects Models<\/td>		SESSION IP2b2<\/b><\/a>
\nShape constrained inference II<\/td>		<\/td>\n<\/tr>\n
SESSION IP1b3<\/b><\/a>
\nFrontiers in Spatial Statistics<\/td>		SESSION IP2b3<\/b><\/a>
\nStatistics in Climate Sciences<\/td>		<\/td>\n<\/tr>\n
SESSION IP1b4<\/b><\/a>
\nReal World Evidence in Clinical Trial: Synthesizing Evidence With Heterogeneity <\/td>		SESSION IP2b4<\/b><\/a>
\nVariable Selection Approaches and Applications in Public Health<\/td>		<\/td>\n<\/tr>\n
SESSION IP1b5<\/b><\/a>
\nStatistical Methods for Next Generation Sequencing Studies<\/td>		SESSION IP2b5<\/b><\/a>
\nRecent statistical advances in genetic mapping of complex traits <\/td>		<\/td>\n<\/tr>\n
SESSION S1 (15:00\u201317:00)<\/b><\/a>
\nStudent paper competition<\/td>		SESSION IP2b6<\/b><\/a>
\nTrends and Innovations in Clinical Trial Design<\/td>		<\/td>\n<\/tr>\n
<\/td>SESSION IP2b7<\/b><\/a>
\nInference from regression models<\/td>		<\/td>\n<\/tr>\n

16:30–17:00<\/strong><\/td>

16:00–16:30<\/strong><\/td>

<\/td>\n<\/tr>\n
COFFEE BREAK<\/b><\/td>COFFEE BREAK<\/b><\/td><\/td>\n<\/tr>\n

17:00–18:30<\/strong>
\nCONCURRENT SESSIONS 1C<\/td>

16:30–18:00<\/strong>
\nCONCURRENT SESSIONS 2C<\/td>

<\/td>\n<\/tr>\n
PANEL 1<\/b><\/a>
\nPanel on\u00a0Statistical Collaborations Across Organizations \u2013 A Step in the Right Direction<\/td>		SESSION IP2c1 (KISS Sponsored)<\/b><\/a>
\nStatistical Modeling for Correlated Data<\/td>		<\/td>\n<\/tr>\n
SESSION IP1c1<\/b><\/a>
\nShape Constrained Inference I<\/td>		SESSION IP2c2<\/b><\/a>
\nUnderstanding Non-Convex Optimization Problems in Statistical Learning<\/td>		<\/td>\n<\/tr>\n
SESSION IP1c2<\/b><\/a>
\nComplex Biostatistical Data Modeling, Probing, and Analysis<\/td>		SESSION IP2c3<\/b><\/a>
\nBig Data in Biological Sciences<\/td>		<\/td>\n<\/tr>\n
SESSION IP1c3<\/b><\/a>
\nCutting Edge Biostatistical Research<\/td>		SESSION IP2c4<\/b><\/a>
\nOn distributions and their properties<\/td>		<\/td>\n<\/tr>\n
SESSION IP1c4<\/b><\/a>
\nPharmaceutical Statisticians: Who are We?<\/td>		SESSION IP2c5<\/b><\/a>
\nLearning and Predictive Models for Complex Systems<\/td>		<\/td>\n<\/tr>\n
SESSION IP1c5<\/b><\/a>
\nA Variety of Dimension Reduction Techniques<\/td>		SESSION IP2c6<\/b><\/a>
\nEarly Phase Clinical Trials: A Multi-Dimensional Problem<\/td>		<\/td>\n<\/tr>\n
SESSION IP1c6<\/b><\/a>
\nStatistical Inference on Networks<\/td>		SESSION IP2c7<\/b><\/a>
\nComputational methods for Bayesian model selection<\/td>		<\/td>\n<\/tr>\n
SESSION IP1c7<\/b><\/a>
\nRecent advances in Bayesian Techniques<\/td>		SESSION IP2c8<\/b><\/a>
\nTopics in theoretical statistics and Applied Probability<\/td>		<\/td>\n<\/tr>\n
<\/td>

18:00–19:30<\/strong><\/td>

<\/td>\n<\/tr>\n
<\/td>POSTER SESSION & WINE BAR (Sponsored by College of Science)<\/a>
\nCH2M HILL Alumni Center<\/i><\/td>		<\/td>\n<\/tr>\n
<\/td>

19:30–21:30<\/strong><\/td>

<\/td>\n<\/tr>\n
<\/td>BANQUET DINNER, AWARDS<\/b><\/td><\/td>\n<\/tr>\n
<\/td><\/td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n","protected":false},"excerpt":{"rendered":"

View conference program (PDF) View abstract book (PDF) THURSDAY 8:30\u201317:00 Short course schedule \u2192 17:30\u201319:30 Wine and Cheese Reception Location: Hilton Garden Inn  <\/p>\n","protected":false},"author":6216,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-445","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/pages\/445","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/users\/6216"}],"replies":[{"embeddable":true,"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/comments?post=445"}],"version-history":[{"count":14,"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/pages\/445\/revisions"}],"predecessor-version":[{"id":998,"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/pages\/445\/revisions\/998"}],"wp:attachment":[{"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/media?parent=445"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}