Keyword Search
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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Sparse returned 47 record(s)
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Sunday, 07/29/2018
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Sparse Functional Principal Component Analysis in a New Regression Framework
YUNLONG NIE, Simon Fraser University; Jiguo Cao, Simon Fraser University
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Sparse Estimation for Functional Semiparametric Additive Model
Peijun Sang, Simon Fraser University; Richard Lockhart, Simon Fraser University; Jiguo Cao, Simon Fraser University
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Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data
Martin Tveten, University of Oslo; Ingrid Kristine Glad, University of Oslo
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Sparse Convex Clustering
Binhuan Wang, New York University School of Medicine; Yilong Zhang, Merck Research Laboratories; Will Wei Sun, University of Miami School of Business Administration; Yixin Fang, New Jersey Institute of Technology
2:05 PM
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Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data
Martin Tveten, University of Oslo; Ingrid Kristine Glad, University of Oslo
2:30 PM
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Cauchy Combination Test: a Powerful Test with Analytic P-Value Calculation Under Arbitrary Dependency Structures
Yaowu Liu, Harvard School of Public Health; Jun Xie, Purdue University; Xihong Lin, Harvard University
2:35 PM
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High-Dimensional Gaussian Graphical Model for Network-Linked Data
Ji Zhu, University of Michigan; Boang Liu, University of Michigan; Tianxi Li, University of Michigan; Cheng Qian, University of Michigan; Elizaveta Levina, University of Michigan
2:45 PM
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Significance Testing in Non-Sparse High-Dimensional Linear Models
Yinchu Zhu, University of Oregon; Jelena Bradic, UC San Diego
2:50 PM
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Combining Confidence Distributions for Rare Event Meta-Analysis
Brinley Zabriskie, Utah State University; Chris Corcoran, Utah State University; Pralay Senchaudhuri, Cytel Software Corporation
3:20 PM
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Envelope-Based Sparse Partial Least Squares
Guangyu Zhu, University of British Columbia; Zhihua Su, University of Florida
4:05 PM
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Spatial Bayesian Fusing Models for Sparse Networks and Health Risk
Andrew B Lawson, Medical University of South Carolina ; Raymond Boaz, Medical University of South Carolina
4:25 PM
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Monday, 07/30/2018
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Feature Selection and Classification Using Sparse Envelope Model
Minji Lee, University of Florida; Zhihua Su, University of Florida
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Sparse Variable Selection in Kernel Discriminant Analysis via Optimal Scoring
Alexander Lapanowski, Texas A&M; Irina Gaynanova, Texas A&M Univeristy
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Bayesian Sparse Regression in the Presence of Nuisance Parameters
Seonghyun Jeong, North Carolina State University; Subhashis Ghoshal, North Carolina State Univeristy
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Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
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Making Optimal Matching Size-Scalable Using Optimal Calipers
Ruoqi Yu, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
8:50 AM
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Two-Way Sparsity for Time-Varying Networks, with Applications in Genomics
Thomas Bartlett, University College London; Ricardo Silva, University College London; Ioannis Kosmidis, University of Warwick
9:50 AM
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Sparse Single Index Models for Multivariate Responses
Yuan Feng, North Carolina State University; Luo Xiao, North Carolina State University; Eric Chi, North Carolina State University
10:35 AM
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Coordinate-Independent Sparse Estimation in Semiparametric Models
Haileab Hilafu, University of Tennessee; Sandra Safo, University of Minnesota
10:50 AM
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BRISC: Bootstrap for Rapid Inference on Spatial Covariances
Arkajyoti Saha, Johns Hopkins Bloomberg School of Public Health; Abhi Datta, Johns Hopkins Bloomberg School of Public Health
11:05 AM
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Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
12:00 PM
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Sparse-Input Neural Networks for High-Dimensional Nonparametric Regression and Classification
Jean Feng; Noah Simon, University of Washington
2:05 PM
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Sparse Functional Additive Models
Peijun Sang, Simon Fraser University; Liangliang Wang, Simon Fraser University; Jiguo Cao, Simon Fraser University
2:20 PM
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Tuesday, 07/31/2018
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Sparse Causal Dynamic Network Modeling of fMRI
Xuefei Cao, Brown University; Xi Luo, Brown University; Bjorn Sandstede, Brown University
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Multi-Resolution Approximations of Gaussian Processes for Multivariate Spatial Data
Wenlong Gong, Texas A&M University
8:35 AM
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Bayesian Regularization for Graphical Models with Unequal Shrinkage
Lingrui Gan, University of Illinois At Urbana-Champaign; Naveen Naidu Narisetty, University of Illinois at Urbana Champaign; Feng Liang, University of Illinois at Urbana-Champaign
9:15 AM
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Functional Regression Models with Highly Irregular Designs
Justin Petrovich, Pennsylvania State University; Matthew Reimherr, Pennsylvania State University; Carrie Daymont, Penn State Hershey Medical Center
9:20 AM
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Sparse Functional Principal Component Analysis in a New Regression Framework
Yunlong Nie, Simon Fraser University; Jiguo Cao, Simon Fraser University
10:05 AM
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High-Dimensional Sparse Generalized Eigenvalue Problem and Its Applications to Multivariate Statistics
Kean Ming Tan, University of Minnesota; Zhaoran Wang, Northwestern University; Han Liu, Northwestern University; Tong Zhang, Tencent Technology
10:50 AM
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Mitigating Standard Errors of County-Level Survey Estimates When Data are Sparse
Valbona Bejleri, USDA National Agricultural Statistics Service; Habtamu Benecha, USDA National Agricultural Statistics Service; Andreea Erciulescu, National Institute of Statistical Sciences; Nathan Cruze, USDA National Agricultural Statistics Service; Balgobin Nandram, Worcester Polytechnic Institute
11:15 AM
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Tidyfun: a New Framework for Representing and Working with Function-Valued Data
Fabian Scheipl, LMU Munich; Jeff Goldsmith, Columbia University
11:35 AM
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Semiparametric-Sparse Network Kernel Method for Genetic Pathway Analysis
Byung-Jun Kim, Virginia Polytechnic Inst. & State Univ.; Inyoung Kim, Virginia Tech
2:05 PM
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Constrained Regression via Majorization-Minimization
Jason Xu, UCLA; Kenneth Lange, UCLA
2:35 PM
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Wednesday, 08/01/2018
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Fast Bayesian Sparse Learning via Thresholding Priors
Andrew Whiteman, University of Michigan; Jian Kang, University of Michigan
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High-Dimensional Change Point Estimation via Sparse Projection
Tengyao Wang, University of Cambridge; Richard J Samworth, University of Cambridge
8:35 AM
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Joint Hierarchical Models for Sparsely Sampled High-Dimensional LiDAR and Forest Variables
Andrew Oliver Finley, Michigan State University; Hans-Erik Andersen, USDA Forest Service; Sudipto Banerjee, UCLA School of Public Health; Bruce Douglas Cook, NASA Goddard Space Flight Center; Abhi Datta, Johns Hopkins Bloomberg School of Public Health; Douglas C Morton, NASA Goddard Space Flight Center
9:35 AM
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Sparse Quadratic Classification Rules via Linear Dimension Reduction
Tianying Wang, Texas A & M University; Irina Gaynanova, Texas A&M Univeristy
10:35 AM
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Learning the Number of Components and Data Clusters in Bayesian Finite Mixture Models
Bettina Grün, Johannes Kepler Universität; Gertraud Malsiner-Walli, Wirtschaftsuniversität Wien; Sylvia Frühwirth-Schnatter, Wirtschaftsuniversität Wien
10:35 AM
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Sparse Functional Partial Least Squares Method for Spectral Analysis
Jiguo Cao, Simon Fraser University; Tianyu Guan, Simon Fraser University; Kevin Groves, FPInnovation; Martin Feng, FPInnovation
11:00 AM
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Sparse Model Identification and Learning for Ultra-High-Dimensional Additive Partially Linear Models
Xinyi Li; Lily Wang, Iowa State University; Dan Nettleton, Iowa State University
11:05 AM
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A Robust and Efficient Approach to Causal Inference Based on Sparse Sufficient Dimension Reduction
Shujie Ma, UC Riverside-Dept of Statistics
11:15 AM
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High-Dimensional Discrimination with Trace Regularization
Jeongyoun Ahn, University of Georgia; Yongho Jeon, Yonsei University; Hee Cheol Chung, University of Georgia
11:15 AM
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Can We Compute an Optimal Sparse Decision Tree?
Cynthia Rudin, Duke University; Elaine Angelino, Berkeley; Nicholas Larus-Stone, Cambridge; Margo Seltzer, Harvard; Daniel Alabi, Harvard
3:05 PM
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Thursday, 08/02/2018
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A Spatial Group Sparse Multi-Task Regression Model for Imaging Genetics
Farouk Nathoo; Yin Song, University of Victoria; Shufei Ge, Simon Fraser University; Liangliang Wang, Simon Fraser University; Jiguo Cao, Simon Fraser University
8:55 AM
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High-Dimensional Variable Selection When Features Are Sparse
Jacob Bien, University of Southern California; Xiaohan Yan, Cornell University
10:35 AM
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Bayesian Ising Sparse Nonparametric Model
Inyoung Kim, Virginia Tech; Zaili Fang, Virginia Tech; Byung-Jun Kim, Virginia Polytechnic Inst. & State Univ.
11:20 AM
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Sparse Multi-Class Vector AutoRegressive Models
Ines Wilms, KU Leuven; Christophe Croux, EDHEC Business School; Luca Barbaglia, KU Leuven
11:35 AM
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