Renewable estimation and incremental inference in generalized linear models with streaming data sets

Scalable statistical inference for averaged implicit stochastic gradient descent

(2019) Yixin Fang   SCANDINAVIAN JOURNAL OF STATISTICS

A modern maximum-likelihood theory for high-dimensional logistic regression

(2019) Pragya Sur et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Bayesian Conditional Density Filtering

(2018) Rajarshi Guhaniyogi et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Online Principal Component Analysis in High Dimension: Which Algorithm to Choose?

(2017) Hervé Cardot et al.   INTERNATIONAL STATISTICAL REVIEW

Online Updating of Statistical Inference in the Big Data Setting

(2016) Elizabeth D. Schifano et al.   TECHNOMETRICS

Scalable estimation strategies based on stochastic approximations: classical results and new insights

(2015) Panos Toulis et al.   STATISTICS AND COMPUTING

A scalable bootstrap for massive data

(2014) Ariel Kleiner et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Aggregated estimating equation estimation

(2013) Nan Lin et al.   Statistics and Its Interface

A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data

(2012) Faming Liang et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Adaptive Algorithms to Track the PARAFAC Decomposition of a Third-Order Tensor

(2009) D. Nion et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Incremental subspace learning via non-negative matrix factorization

(2008) Serhat S. Bucak et al.   PATTERN RECOGNITION