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Keyword Search Criteria: high-dimensional data returned 31 record(s)
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Sunday, 07/29/2018
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Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations
Taylor Gene Pospisil, Carnegie Mellon 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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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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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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Asymptotic Behavior of the Alpha-Risk Minimizing Portfolio in High-Dimensional Setting
Hiroyuki Taniai, Waseda University
3:20 PM
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Estimation of Dynamic Conditional Correlation Matrices by a Nonlinear Common Factor Model
Craig Rolling, Saint Louis University; Yongli Zhang, Independent Researcher; Yuhong Yang, University of Minnesota
4:05 PM
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Weak Signals in High-Dimension Regression: Detection, Estimation and Prediction
Yi Li
4:05 PM
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Monday, 07/30/2018
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Evaluating Statistical Classifiers for Detecting C9orf72 Amyotrophic Lateral Sclerosis Patients Based on Whole Blood RNAseq Data
Wenting Wang, Biogen; Guolin Zhao, Biogen; Feng Gao, Biogen; Tzu-Ying Liu, University of Michigan; Ayla Ergun, Biogen; Jessica Hurt, Biogen
8:50 AM
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Building a Genomic Signature via Transfer Learning on Both Labelled and Unlabelled High-Dimensional Data: a Case Study in Predicting Prostate Cancer Metastasis
Yang Liu, GenomeDx Biosciences; Hossein Sharifi-Noghabi, Simon Fraser University; Nicholas Erho, GenomeDX Biosciences; Raunak Shrestha, Vancouver Prostate Centre; Mohammed Alshalalfa, GenomeDX Biosciences; Elai Davicioni, GenomeDX Biosciences; Colin Collins, Vancouver Prostate Centre; Martin Ester, Simon Fraser University
9:05 AM
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Supervised Clustering via an Implicit Network for High-Dimensional Data
Brandon Park; Anand N Vidyashankar, George Mason University; Tucker S McElroy, U.S. Census Bureau
11:05 AM
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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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Incorporating Genetic Network into Case-Control Association Studies with High-Dimensional DNA Methylation Data
Hokeun Sun, Pusan National University
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Sequential Change-Point Detection Based on Nearest Neighbors
Hao Chen, University of California, Davis
9:00 AM
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Improved Selection of High-Dimensional Neuroimaging Biomarkers Associated with Neurodegenerative Disease Progression
Tanya Garcia, Texas A&M University; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center
9:15 AM
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Incorporating Genetic Network into Case-Control Association Studies with High-Dimensional DNA Methylation Data
Hokeun Sun, Pusan National University
9:35 AM
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Bayesian Regression for High-Dimensional Data Using a Prior on the Model Fit
Howard D Bondell, University of Melbourne
9:35 AM
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Generalized CP and the Bootstrap for Variable Selection in Moderate or High-Dimensional Data
Lawrence D Brown, University of Pennsylvania; Junhui Cai, University of Pennsylvania; Linda Zhao, University of Pennsylvania
10:35 AM
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Inference on Average Treatment Effect with Repeated Data Splitting in High Dimensions
Jingshen Wang, University of Michigan; Xuming He, University of Michigan; Gongjun Xu, University of Michigan
10:35 AM
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Simple Bootstrap and Simulation Approaches to Quantifying Reliability of High-Dimensional Feature Selection
Frank Harrell, Vanderbilt University, Dept of Biostatistics
10:35 AM
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Analysis of Time-Course Microbiota Data Through Longitudinal Linear Combination Test
Elham Khodayari Moez, University of Alberta; Morteza Hajihosseini, University of Alberta; Anita Kozyrskyj, University of Alberta; Irina Dinu, University of Alberta
10:50 AM
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Estimating Directed Acyclic Graphs from High-Dimensional Data and Its Application in Biomarker Discoveries in Early Clinical Trials
Hua Zhong, New York University; Jaehong Yu, NYU School of Medicine
11:55 AM
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Finite Sample Change Point Inference and Identification for Hig-Dimensional Mean Vectors
Mengjia Yu, University of Illinois at Urbana-Champaign; Xiaohui Chen, University of Illinois at Urbana-Champaign
2:20 PM
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Finding Needles in a Hay Stack - an Approach for a Small-Number-Factor High-Dimensional Data
Chi-Hse Teng
3:05 PM
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Wednesday, 08/01/2018
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Accounting for Unobserved Covariates with Varying Degrees of Estimability in High-Dimensional Data
Chris McKennan, University of Chicago; Dan Nicolae, University of Chicago
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A Hierarchical, Multiple-Testing Framework for High-Dimensional Data Analysis and Application to Flow Cytometry
John Pura
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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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Penalized Jackknife Empirical Likelihood in High Dimension
Na Zhao; jinfeng Xu, The University of Hong Kong
11:35 AM
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Finding Best Low Dimensional Angles for Visualizing High-Dimensional Data
Yanming Di, Oregon State University; Wanli Zhang, Oregon State University
3:05 PM
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Dimension Reduction of High-Dimensional Data Sets Based on Stepwise SVM
Elizabeth Chou, National Chengchi University; Tzu-Wei Ko, National Chengchi University
3:35 PM
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