Massive Open Online Courses and the Science of Learning

Title: Statistical Mechanics on Sparse Random Graphs: Mathematical Perspective Abstract: Theoretical models of disordered materials lead to challenging mathematical problems with applications to random combinatorial problems and coding theory. The underlying structure is that of many discrete variables that are strongly interacting according to a mean field model determined by a random sparse graph. Focusing on random finite graphs that converge locally to trees we review recent progress in validating the `cavity prediction for the limiting free energy per vertex and the approximation of... Read more about CMSA Talk: Amir Dembo

The Foundations of Statistics and Its Implications for Current Methods for Causal Inference from Observational and Randomized Trial Data

Alexander Franks Bayesian Inference with Non-Ignorable Missing Data Qian Lin On Consistency and Sparsity for Sliced Inverse Regression in High Dimensions

Bayesian Model for Detection of X-ray "Dark" Sources

Applying Theory to Practice (and Practice to Theory)

Causal Estimation of Peer Effects in Longitudinal Dyadic Data Using Instrumental Variables

Games, Networks, and People

How good is your model? Guilt-free interactive data analysis

The Knowledge Infrastructure of Astronomy Christine L. Borgman (in connection with the Seamless Astronomy Group)

Nonparametric Graph Estimation

Harvard Statistics Department Retreat 9:30 AM-5:00 PM. Open to anyone in the Harvard Statistics community, including (but not limited to) students of all levels, post-docs, and faculty. This full-day event---an annual tradition---will feature student and faculty panel discussions, two lectures from distinguished guests, and a statistics-themed game.

Infographics Registration required for presentation (free)

Effective Ancillarity: A Modeling-Building Principle in the Presence of Misspecification

A Bayesian Model for the Detection of X-ray Binary Black Holes