Lecture on Markov Chain Monte Carlo Live stream planned on YouTube

Reverberation of High-Redshift Quasars and its Application to Trace the Dark Energy

Uncertainty in Propensity Score Estimation: Bayesian Methods for Variable Selection and Model Averaged Causal Effects

Completing the Results of the 2013 Boston Marathon Flashback to the 2013 Boston Marathon. It was a beautiful day; the runners were nearing completion of an exhausting 26-mile run when suddenly two bombs detonated near the finish line, resulting in three deaths and several hundred injuries. Over 6,000 runners were unable to finish the race after this horrific incident. We were approached by the marathon's organizers, the Boston Athletic Association (BAA), and asked to recommend a procedure for projecting finish times for the runners who could not complete the race. With assistance from the BAA... Read more about Biostats: Francesca Dominici & Matthew Cefalu

Feature allocations, probability functions, and paintboxes The problem of inferring a clustering of a data set has been the subject of much research in Bayesian analysis, and there currently exists a solid mathematical foundation for Bayesian approaches to clustering. In particular, the class of probability distributions over partitions of a data set has been characterized in a number of ways, including via exchangeable partition probability functions (EPPFs) and the Kingman paintbox. Here, we develop a generalization of the clustering problem, called feature allocation, where we allow each... Read more about MachineLearn: Tamara Broderick

New England Machine Learning Day 2014 Poster deadline is April 25.

10 Simple Rules for the Care and Feeding of Scientific Data

From Answering Questions to Questioning Answers (and Questions): Toward Computational Fact-Checking (part of the MIT Big Data Initiative)

Bayesian Learning from Big Data

Big Data is Transforming Global Healthcare: Monte Jade Science and Technology Association of New England

Covariance Assisted Screening and Estimation

Detecting Malicious Activity Through Large-Scale Data Analysis

Ju-Chen Justin Yang SURE Estimates for two Heteroscedastic Hierarchical Regression Models Eunice Kim One-Dimensional Nonstationary Process Variance Function Estimation

Luke Bornn Herded Gibbs Sampling

Avi Feller The Devil You Know: Mixture Models for Principal Stratification Peng Ding Ecological Inference: Likelihood and Empirical Bayes Perspectives