Birs- 14w5086: Statistical and Computational Theory and Methodology for Big Data Analysis
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Title: Microbiome, Metagenomics and High-dimensional Compositional Data Analysis
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Title: Tree-based Rare Variants Analyses
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Title: When multi-core statistical computing fails for massive sample sizes
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Title: A Split-and-Conquer Approach for Analysis of Extraordinarily Large Data
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Title: BigData: Efficient Search and Learning using Sparse Random Projections and Probabilistic Hashing
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Title: Uniform Ergodicity of the Iterated Conditional SMC and Geometric Ergodicity of Particle Gibbs Samplers
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Title: On Nonparametric Profile Monitoring
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Title: Functional Data Analysis of Imaging Data
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Title: High-dimensional Inference in Magnetoencephalographic Neuroimaging
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Title: Recent Developments of Iterative Monte Carlo Methods for Big Data Analysis (Faming Liang & Chuanhai Liu)
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Title: Recent Software Development for Big Data Analysis
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Title: Sparse and Low-Risk Regression in High Dimensions
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Title: Quantile regression in Variable Screening
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Title: What Is Beyond Sparse Coding?
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Title: A Bayesian Approach to Subgroup Identification
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Title: Detection of tumor driver genes using a fully integrated Bayesian approach
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Title: Online Updating of Statistical Inference in the Big Data Setting
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Title: Statistical Aggregation in Massive Data Environment
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Title: Biocuration in the Era of Big Data
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Title: Poly(A) motif Prediction Using Spectral Latent Features from Human DNA Sequences
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