Statistical and Computational Theory and Methodology for Big Data Analysis
Videos from BIRS Workshop
Hongzhe Li, University of Pennsylvania
Monday Feb 10, 2014 10:29 - 11:08
Microbiome, Metagenomics and High-dimensional Compositional Data Analysis
Heping Zhang, Yale University
Monday Feb 10, 2014 11:08 - 11:49
Tree-based Rare Variants Analyses
Marc Suchard, University of California at Los Angeles
Monday Feb 10, 2014 14:10 - 14:51
When multi-core statistical computing fails for massive sample sizes
Min-ge Xie, Rutgers University
Monday Feb 10, 2014 14:51 - 15:32
A Split-and-Conquer Approach for Analysis of Extraordinarily Large Data
Ping Li, Rutgers University
Monday Feb 10, 2014 16:01 - 16:43
BigData: Efficient Search and Learning using Sparse Random Projections and Probabilistic Hashing
Christophe Andrieu, University of Bristol
Monday Feb 10, 2014 16:44 - 17:21
Uniform Ergodicity of the Iterated Conditional SMC and Geometric Ergodicity of Particle Gibbs Samplers
Peihua Qiu, University of Florida
Tuesday Feb 11, 2014 08:39 - 09:20
On Nonparametric Profile Monitoring
Hongtu Zhu, The University of North Carolina at Chapel Hill
Tuesday Feb 11, 2014 09:22 - 10:09
Functional Data Analysis of Imaging Data
Jian Zhang, University of Kent
Tuesday Feb 11, 2014 10:39 - 11:15
High-dimensional Inference in Magnetoencephalographic Neuroimaging
Faming Liang, Texas A&M University
Tuesday Feb 11, 2014 13:36 - 15:23
Recent Developments of Iterative Monte Carlo Methods for Big Data Analysis (Faming Liang & Chuanhai Liu)
Jun Yan, University of Connecticut
Tuesday Feb 11, 2014 16:01 - 17:40
Recent Software Development for Big Data Analysis
Kun Chen, University of Connecticut
Wednesday Feb 12, 2014 08:38 - 09:20
Sparse and Low-Risk Regression in High Dimensions
Linglong Kong, University of Alberta
Wednesday Feb 12, 2014 09:22 - 09:58
Quantile regression in Variable Screening
Yingnian Wu, University of California, Los Angeles
Wednesday Feb 12, 2014 10:34 - 11:27
What Is Beyond Sparse Coding?
Xiaojing Wang, University of Connecticut
Wednesday Feb 12, 2014 14:17 - 14:58
A Bayesian Approach to Subgroup Identification
Guanghua Xiao, University of Texas Southwestern Medical Center
Wednesday Feb 12, 2014 15:00 - 15:33
Detection of tumor driver genes using a fully integrated Bayesian approach
Elizabeth Schifano, University of Connecticut
Wednesday Feb 12, 2014 16:02 - 16:43
Online Updating of Statistical Inference in the Big Data Setting
Nan Lin, Washington University in St. louis
Wednesday Feb 12, 2014 16:47 - 17:27
Statistical Aggregation in Massive Data Environment
Zhang Zhang, Beijing Institute of Genomics, Chinese Academy of Sciences
Thursday Feb 13, 2014 09:14 - 09:41
Biocuration in the Era of Big Data
Xin Gao, King Abdullah University of Science and Technology (KAUST)
Thursday Feb 13, 2014 10:35 - 11:15
Poly(A) motif Prediction Using Spectral Latent Features from Human DNA Sequences
Matthias Katzfuss, Texas A&M University
Thursday Feb 13, 2014 11:16 - 11:57
Statistical Inference for Massive Distributed Spatial Data Using Low-Rank Models
Russ Salakhutdinov, University of Toronto
Thursday Feb 13, 2014 13:35 - 14:16
Annealing Between Distributions by Averaging Moments
Alexander Shestopaloff, University of Toronto
Thursday Feb 13, 2014 14:22 - 15:04
MCMC for non-Linear State Space Models Using Ensembles of Latent Sequences
Philip Gautier, Purdue University
Thursday Feb 13, 2014 16:52 - 17:14
D&R for Large Complex Data: Likelihood Modeling for Logistic Regression
