AMS Sectional Meeting AMS Special Session
Current as of Friday, December 21, 2018 16:21:51
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- Deadlines
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- Inquiries: meet@ams.org
Fall Western Sectional Meeting
- San Francisco State University, San Francisco, CA
- October 27-28, 2018 (Saturday - Sunday)
- Meeting #1144
Michel L Lapidus, AMS lapidus@math.ucr.edu, lapidus@mathserv.ucr.edu
Special Session on Big Data and Statistical Analytics
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Saturday October 27, 2018, 8:30 a.m.-10:40 a.m.
Special Session on Big Data and Statistical Analytics, I
Room 429, Thornton Hall
Organizers:
Tao He, San Francisco State University hetao@sfsu.edu
Mohammad Kafai, San Francisco State University
Alexandra Piryatinska, San Francisco State University
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8:30 a.m.
Human disease network (HDN) analysis of disease prevalence.
Shuangge Ma*, Yale University
(1144-62-66) -
9:00 a.m.
Omics data integration with kernel fusion.
Yuehua Cui*, Michigan State University
(1144-62-252) -
9:30 a.m.
Edge sampling using network local information.
Can M. Le*, University of California, Davis
(1144-62-316) -
10:00 a.m.
Locally-Sensitive Epidemiological Modeling of Disease Outbreaks Using Social Media.
Rahul Singh*, San Francisco State University
(1144-68-351)
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8:30 a.m.
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Saturday October 27, 2018, 3:00 p.m.-4:50 p.m.
Special Session on Big Data and Statistical Analytics, II
Room 429, Thornton Hall
Organizers:
Tao He, San Francisco State University hetao@sfsu.edu
Mohammad Kafai, San Francisco State University
Alexandra Piryatinska, San Francisco State University
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3:00 p.m.
Case-control studies of gene-environment interactions: when a case might not be the case or a control might be a silent disease.
Li Zhang*, University of California San Francisco, Department of Medicine, Department of Epidemiology and Biostatistics
Iryna Lobach, University of California San Francisco, Department of Epidemiology and Biostatistics
Joshua Sampson, National Cancer Institute, National Institutes of Health
Alexander Alekseyenko, Department of Public Health Sciences, Medical University of South Carolina
Siarhei Lobach, Applied Mathematics and Computer Science Department, Belarusian State University
(1144-62-234) -
3:30 p.m.
Incremental Learning on Large-scale Spatio-temporal Prediction via Tensor Decomposition.
Jianpeng Xu*, eBay. Inc, San Jose, CA
Pang-Ning Tan, Department of Computer Science and Engineering, Michigan State University
(1144-68-144) -
4:00 p.m.
Recent advances in landmark-based large scale spectral clustering.
Guangliang Chen*, San Jose State University
Khiem Pham, San Jose State University
(1144-62-11) -
4:30 p.m.
Nonconvex Matrix Completion: Assumption-free Local Minimum Analysis and Applications in Memory-efficient Kernel PCA.
Xiaodong Li*, UC Davis
Ji Chen, UC Davis
(1144-49-101)
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3:00 p.m.
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Sunday October 28, 2018, 8:00 a.m.-10:40 a.m.
Special Session on Big Data and Statistical Analytics, III
Room 429, Thornton Hall
Organizers:
Tao He, San Francisco State University hetao@sfsu.edu
Mohammad Kafai, San Francisco State University
Alexandra Piryatinska, San Francisco State University
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8:00 a.m.
Predicting Post-Procedural Complications using Neural Networks.
Namratha Mohan*, Louisiana State University
Thanos Gentimis, Louisiana State University (Experimental Statistics)
(1144-68-24) -
8:30 a.m.
Distance-based analysis with quantile regression model.
Shaoyu Li*, Department of Mathematics and Statistics, University of North Carolina at Charlotte
Yanqing Sun, Department of Mathematics and Statistics, University of North Carolina at Charlotte
Liyang Diao, Seres Therapeutics
Xue Wang, Department of Health Sciences Research, Mayo Clinic
(1144-62-244) -
9:00 a.m.
Robust Graph Change-point Detection for Brain Evolvement Study.
Fang Han, University of Washington, Seattle
Xi Chen, New York University
Honglang Wang*, Indiana University-Purdue University Indianapolis
Lexin Li, University of California, Berkeley
Brian Caffo, Johns Hopkins University
(1144-62-278) -
9:30 a.m.
Hierarchical models for predicting above ground biomass with 3D LiDAR signals.
Yuzhen Zhou*, University of Nebraska Lincoln
(1144-62-292) -
10:00 a.m.
The Mountain Comes to Muhammad: Dangers from Using Standardized Statistics in Multiple Testing.
Luella Fu*, San Francisco State University
Wenguang Sun, University of Southern California, Marshall School of Business
Gareth M. James, University of Southern California, Marshall School of Business
(1144-62-251)
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8:00 a.m.
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Sunday October 28, 2018, 2:00 p.m.-4:50 p.m.
Special Session on Big Data and Statistical Analytics, IV
Room 429, Thornton Hall
Organizers:
Tao He, San Francisco State University hetao@sfsu.edu
Mohammad Kafai, San Francisco State University
Alexandra Piryatinska, San Francisco State University
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2:00 p.m.
Using topical interests and social interactions to measure user similarity on Twitter.
Hui Yang*, Dept of Computer Science, San Francisco State University
Swati Patel, Dept of Computer Science, San Francisco State University
Hui-ming Deanna Wang, Marketing Department, San Francisco State University
(1144-68-302) -
3:00 p.m.
Error Estimation for Randomized Numerical Linear Algebra via the Bootstrap.
Miles Lopes*, UC Davis
Shusen Wang, Stevens Institute of Technology
Michael W Mahoney, UC Berkeley
(1144-65-49) -
3:30 p.m.
A new approach to Bayesian image analysis.
John Kornak*, University of California, San Francisco
Karl Young, San Francisco, CA
(1144-00-53) -
4:30 p.m.
Testing High-dimensional Non-parametric Functions with Applications in SNP/Gene Set Analysis.
Tao He*, San Francisco State University
Yuehua Cui, Michigan State University
Ping-Shou Zhong, Michigan State University
V. Mandrekar, Michigan State University
(1144-62-202)
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2:00 p.m.
Inquiries: meet@ams.org