AMS Sectional Meeting AMS Special Session
Current as of Tuesday, January 7, 2020 09:25:35
Fall Eastern Sectional Meeting
- Binghamton University, Binghamton, NY
- October 12-13, 2019 (Saturday - Sunday)
- Meeting #1151
Steven H Weintraub, AMS shw2@lehigh.edu
Special Session on Statistics
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Saturday October 12, 2019, 8:00 a.m.-10:50 a.m.
Special Session on Statistics, I
Room 214, Classroom Wing
Organizers:
Sanjeena Dang, Binghamton University
Aleksey Polunchenko, Binghamton University
Xingye Qiao, Binghamton University
Anton Schick, Binghamton University anton@math.binghamton.edu
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8:00 a.m.
Model-based clustering using mixtures of multivariate skewed power exponential distributions.
Utkarsh J. Dang*, Binghamton University
Michael P. B. Gallaugher, McMaster University
Ryan P. Browne, University of Waterloo
Paul D. McNicholas, McMaster University
(1151-62-74) -
8:30 a.m.
Using Subset Log-Likelihoods to Trim Outliers in Gaussian Mixture Models.
Katharine M. Clark, McMaster University
Paul D. McNicholas*, McMaster University
(1151-62-129) -
9:00 a.m.
Bayesian infinite mixtures of multivariate normal-inverse Gaussian distributions for clustering of skewed data.
Yuan Fang*, Department of Mathematical Sciences, Binghamton University (SUNY)
Sanjeena Dang, Department of Mathematical Sciences, Binghamton University (SUNY)
(1151-62-160) -
9:30 a.m.
Variable selection for model-based functional data clustering.
Kyra Singh, Google
Tanzy Love*, University of Rochester
Eric Hernandy, University of Rochester
Jacob Finkelstein, University of Rochester
Jacky Williams, University of Rochester
(1151-62-259) -
10:00 a.m.
Bootstrapping for the characterization of clusters and model selection.
Han Yu, Roswell Park Cancer Institute
Rachael Hageman Blair*, University at Buffalo
(1151-62-177) -
10:30 a.m.
Single-cell analyses for HIV vaccine development.
Lynn Lin*, Pennsylvania State University
(1151-62-183)
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8:00 a.m.
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Saturday October 12, 2019, 3:00 p.m.-5:50 p.m.
Special Session on Statistics, II
Room 214, Classroom Wing
Organizers:
Sanjeena Dang, Binghamton University
Aleksey Polunchenko, Binghamton University
Xingye Qiao, Binghamton University
Anton Schick, Binghamton University anton@math.binghamton.edu
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3:00 p.m.
Understanding Statistical Properties by Bridging Convex and Nonconvex Optimization.
Yuxin Chen, Princeton University
Yuejie Chi, Carnegie-Mellon University
Jianqing Fan*, Princeton University
Cong Ma, Princeton University
Yuling Yan, Princeton University
(1151-62-240) -
4:00 p.m.
Random projection pursuit regression for high-dimensional complex data.
Sijian Wang*, Rutgers University
(1151-60-201) -
4:30 p.m.
Anomalous MLE of Constrained Covariance Matrix of Multivariate Normal Distributions.
Mohsen Pourahmadi*, Department of Statistics, Texas A&M University
A. Kundu, Department of Statistics, Texas A&M University
(1151-62-104) -
5:00 p.m.
Multivariate Rank-based Distribution-free Nonparametric Testing using Measure Transportation.
Bodhisattva Sen*, Columbia University
Nabarun Deb, Columbia University
(1151-62-163) -
5:30 p.m.
High-dimensional nonparametric density estimation via symmetry and shape constraints.
Min Xu*, Rutgers University
Richard J Samworth, University of Cambridge
(1151-62-66)
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3:00 p.m.
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Sunday October 13, 2019, 8:00 a.m.-10:50 a.m.
Special Session on Statistics, III
Room 214, Classroom Wing
Organizers:
Sanjeena Dang, Binghamton University
Aleksey Polunchenko, Binghamton University
Xingye Qiao, Binghamton University
Anton Schick, Binghamton University anton@math.binghamton.edu
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8:00 a.m.
Adaptive Estimation in Structured Factor Models with Application to Overlapping Clustering.
Yang Ning*, Cornell University
(1151-62-111) -
8:30 a.m.
A unified machine learning method of determining the minimal important difference with the linear structure.
Jiwei Zhao*, State University of New York at Buffalo
(1151-62-54) -
9:00 a.m.
Predictive Inference with Random Forests.
Lucas K Mentch*, University of Pittsburgh
(1151-62-36) -
9:30 a.m.
Stochastic Optimization for AUC Maximization in Machine Learning.
Yiming Ying*, SUNY Albany
(1151-68-33) -
10:00 a.m.
Inductive Bias of Gradient Descent based Adversarial Training on Separable Data.
Ethan X Fang*, Penn State University
Yan Li, Georgia Institute of Technology
Huan Xu, Alibaba
Tuo Zhao, Georgia Institute of Technology
(1151-62-110) -
10:30 a.m.
Some new Insights on Transfer Learning.
Samory Kpotufe*, Columbia University
(1151-68-215)
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8:00 a.m.
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Sunday October 13, 2019, 2:00 p.m.-4:50 p.m.
Special Session on Statistics, IV
Room 214, Classroom Wing
Organizers:
Sanjeena Dang, Binghamton University
Aleksey Polunchenko, Binghamton University
Xingye Qiao, Binghamton University
Anton Schick, Binghamton University anton@math.binghamton.edu
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2:00 p.m.
Nonparametric Classification using Deep Neural Networks.
Zuofeng Shang*, NJIT
(1151-76-165) -
2:30 p.m.
Interaction Feature Screening for Ultrahigh Dimensional Data.
Guifang Fu*, Binghamton University
Randall Reese, Idaho National Lab
Xiaotian Dai, Binghamton University
(1151-62-148) -
3:00 p.m.
Covariate Selection for Causal Inference based on Nonparametric Conditional Independence Testing with Random Forests.
Bryan Keller*, Teachers College, Columbia University
(1151-62-151) -
3:30 p.m.
On the Convergence Rate of the Quasi- to Stationary Distribution for the Shiryaev-Roberts Diffusion.
Kexuan Li*, Binghamton University
(1151-62-219) -
4:00 p.m.
On the Minimax Performance of the Generalized Shiryaev-Roberts Quickest Change-Point Detection Procedure in Continuous Time.
Aleksey S Polunchenko*, Binghamton University
(1151-62-220) -
4:30 p.m.
Statistical long-term stock market analysis.
Andrey Sarantsev*, University of Nevada in Reno
(1151-91-90)
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2:00 p.m.
Inquiries: meet@ams.org