内容

目次

Preface.- Statistics, Statisticians, and the Internet of Things (John M. Jordan and Dennis K. J. Lin).- Cognitive Data Analysis for Big Data (Jing Shyr, Jane Chu and Mike Woods).- Statistical Leveraging Methods in Big Data (Xinlian Zhang, Rui Xie and Ping Ma).- Scattered Data and Aggregated Inference (Xiaoming Huo, Cheng Huang and Xuelei Sherry Ni).- Nonparametric Methods for Big Data Analytics (Hao Helen Zhang).- Finding Patterns in Time Series (James E. Gentle and Seunghye J. Wilson).- Variational Bayes for Hierarchical Mixture Models (Muting Wan, James G. Booth and Martin T. Wells).- Hypothesis Testing for High-Dimensional Data (Wei Biao Wu, Zhipeng Lou and Yuefeng Han).- High-Dimensional Classification (Hui Zou).- Analysis of High-Dimensional Regression Models Using Orthogonal Greedy Algorithms (Hsiang-Ling Hsu, Ching-Kang Ing and Tze Leung Lai).- Semi-Supervised Smoothing for Large Data Problems (Mark Vere Culp, Kenneth Joseph Ryan and George Michailidis).- Inverse Modeling: A Strategy to Cope with Non-Linearity (Qian Lin, Yang Li and Jun S. Liu).- Sufficient Dimension Reduction for Tensor Data (Yiwen Liu, Xin Xing and Wenxuan Zhong).- Compressive Sensing and Sparse Coding (Kevin Chen and H. T. Kung).- Bridging Density Functional Theory and Big Data Analytics with Applications (Chien-Chang Chen, Hung-Hui Juan, Meng-Yuan Tsai and Henry Horng-Shing Lu).- A Tutorial on Libra: R Package for the Linearized Bregman Algorithm in High-Dimensional Statistics (Jiechao Xiong, Feng Ruan and Yuan Yao).- Q3-D3-LSA: D3.js and generalized vector space models for Statistical Computing (Lukas Borke and Wolfgang Karl Härdle).- Functional Data Analysis for Big Data: A Case Study on California Temperature Trends (Pantelis Zenon Hadjipantelis and Hans-Georg Müller).- Bayesian Spatiotemporal Modeling for Detecting Neuronal Activation via Functional Magnetic Resonance Imaging (Martin Bezener, Lynn E. Eberly, John Hughes, Galin Jones and Donald R. Musgrove).- Construction of Tight Frames on Graphs and Application to Denoising (Franziska Göbel, Gilles Blanchard and Ulrike von Luxburg).- Beta-Boosted Ensemble for Big Credit Scoring Data (Maciej Zięba and Wolfgang Karl Härdle).-