Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: high dimensional returned 39 record(s)
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Sunday, 07/30/2017
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Statistical Distances and Two-Sample Multivariate Goodness-of-Fit Tests
Yang Chen, University at buffalo, Department of Biostatistics; Marianthi Markatou, University at buffalo, Department of Biostatistics; Georgios Afendras, University at buffalo, Department of Biostatistics; Bruce George Lindsay, The Pennsylvania State University, Department of Statistics
2:50 PM
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Testing High-Dimensional Mean Under Weak Serial Dependence
Runmin Wang, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois, At Urbana-Champaign
3:20 PM
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Ultra-high-dimensional Additive Partially Linear Models
Xinyi Li, Iowa State University; Li Wang, Iowa State University; Dan Nettleton, Iowa State University
4:20 PM
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Sparse Precision Matrix Estimation with Bayesian Regularization
Lingrui Gan, University of Illinois At Urbana and Champaign; Naveen N Narisetty, University of Illinois at Urbana-Champaign; Feng Liang, University of Illinois at Urbana Champaign
4:35 PM
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Sparse Covariance Estimation via Concentration Inequalities
Adam Kashlak, Univ of Cambridge; Linglong Kong, University of Alberta
5:05 PM
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Monday, 07/31/2017
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A Robust Model-Free Feature Screening Method for Ultrahigh-Dimensional Data
Jingnan Xue, Texas A&M University; Faming Liang, University of Florida
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A Robust Model-Free Feature Screening Method for Ultrahigh-Dimensional Data
Jingnan Xue, Texas A&M University; Faming Liang, University of Florida
8:40 AM
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Autoregressive Model for Matrix Valued Time Series
Rong Chen, Rutgers University; Dan Yang, Rutgers University; Han Xiao, Rutgers University
9:00 AM
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Error Variance Estimation in Ultra-High Dimensional Regression Models
Runze Li, The Pennsylvania State University; Zhao Chen, The Pennsylvania State University; Jianqing Fan, Princeton University
9:50 AM
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High-Dimensional Propensity Score via Covariate Balancing
Yang Ning, Cornell University; Sida Peng, Cornell University ; Kosuke Imai, Princeton University
10:35 AM
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Sample Size Methods for Developing Predictors from Genomic Data
Kevin Dobbin, University of Georgia
10:35 AM
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An Integrative Model for Assessing Multimodal Neuroimaging Signatures of Post-Traumatic Stress Disorder
Fengqing Zhang, Drexel University; Xin Niu, Drexel University
11:55 AM
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Visualization of Robust L1PCA
Yi-Hui Zhou, North Carolina State University; J. S. (Steve) Marron, University of North Carolina
2:05 PM
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Variable Selection for High-Dimensional Spatial Regression Models
Abolfazl Safikhani, Columbia University; Tapabrata Maiti, Michigan State University; Chae Young Lim , Seoul National University
2:50 PM
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Strong Sure Screening of Ultra-High-Dimensional Categorical Data Exhibiting Trend
Randall Reese, Utah State University; Guifang Fu, Utah State University; Xiaotian Dai, Utah State University
2:50 PM
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Compositional Mediation Model for Microbiome Study
Michael Sohn; Hongzhe Li, University of Pennsylvania
3:05 PM
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High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models
Satyajit Ghosh, University of Florida; Kshitij Khare, University of Florida; George Michailidis, University of Florida
3:05 PM
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Discriminant Analysis for High-Dimensional Spatio Temporal Data
Rejaul Karim, Michigan State University; Tapabrata Maiti, Michigan State University; Chae Young Lim , Seoul National University
3:35 PM
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Tuesday, 08/01/2017
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Big Data Noise Accumulation in Classification with Random Forest
Dongseok Choi, Oregon Health & Science Univ; Miriam R Elman, Oregon Health & Science University
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High-Dimensional Discriminant Analysis Using Singular Wishart Distribution
Samprit Banerjee, Weill Medicine College of Cornell University; Stefano Monni, American University of Beirut, Lebanon
8:35 AM
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Sparse Principal Component Analysis with Missing Observations
Seyoung Park; Hongyu Zhao, Yale University
8:50 AM
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An Application of High-Dimensional Multiclass Classification Methods to Listeria Monocytogenes Whole Genome Multilocus Sequence Typing Data
Sunkyung Kim, Centers for Disease Control and Prevention; Gordana Derado, Centers for Disease Control and Prevention; Anna J Blackstock, Centers for Disease Control and Prevention; Conrad Amanda, Centers for Disease Control and Prevention; Heather Carleton, Centers for Disease Control and Prevention
9:20 AM
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Sparse Group Fused Lasso in High Dimension
David Degras, University of Massachusetts Boston
10:05 AM
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4. Bayesian Integrative Model for Deciphering High-Dimensional Genotype-Phenotype Map
Chuanhua Julia Xing, XPrecision; Andrew Raim, U.S. Census Bureau
10:35 AM
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Ultra-High-Dimensional Genome-Wide Heritability Analysis with Neuroimaging Phenotypes
Yize Zhao, Weill Cornell Medicine, Cornell University
11:00 AM
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Causal Structure Learning in High-Dimensional Settings
Preetam Nandy, University of Pennsylvania
11:05 AM
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Time Series Prediction and Predictor Selection in High-Dimensional Quantile Autoregressive Regression
Dawit Zerom, California State University at Fullerton
11:05 AM
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A Permutation-Based Model for Crowdsourcing: Optimal Estimation and Robustness
Nihar B Shah, Univ of California - Berkeley; Sivaraman Balakrishnan, Department of Statistics, CMU; Martin J. Wainwright, EECS and Statistics, University of California, Berkeley
11:15 AM
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Thursday, 08/03/2017
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Bayesian Variable Selection for High-Dimensional Genomic Data with Survival Response
Amir Nikooienejad, Texas A&M University; Valen Johnson, Texas A&M University
8:50 AM
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Pairwise Difference Estimation of High Dimensional Partially Linear Model
Fang Han, University of Washington; Zhao Ren, University of Pittsburg; Yuxin Zhu, Johns Hopkins University
9:15 AM
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Fixed Support Positive-Definite Modification of Covariance Matrix Estimators via Linear Shrinkage
Johan Lim, Seoul National University; Young-Geun Choi, Fred Hutchinson Cancer Research Center; Junyong Park, University of Maryland at Baltimore County; Anindya Roy, University of Maryland at Baltimore County
9:35 AM
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New Insights About High-Dimensional Statistical Inference
Lingzhou Xue, The Pennsylvania State University; Danning Li, Jilin University
9:55 AM
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Bayesian Inference for the Directional Brain Network Modeled by High-Dimensional Damped Harmonic Oscillators Using ECoG Data
Tingting Zhang, University of Virginia; Qiannan Yin, University of Virginia; Yinge Sun, University of Virginia; Brian Scott Caffo, Johns Hopkins; Dana Boatman-Reich, Johns Hopkins University
11:00 AM
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FDR Control of the High-Dimensional TOST Tests
Jing Qiu, University Of Delaware; Yue Qi, SAS
11:05 AM
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