Seminar

Title: Recent developments on unbiased Monte Carlo methods Abstract: Monte Carlo estimators, based on Markov chains or interacting particle systems, are typically biased when run with a finite number of iterations (or a finite number of particles)...

Asymptotic Normality and Efficiency In Estimation of High-dimensional Graphical Models

(cancelled)

Limit theorems for weighted non-linear transformations of Gaussian processes with singular spectrum

Stochastic analysis of biochemical reaction networks with absolute concentration robustness

Data-mining for development

Volatility Inference Using High-Frequency Financial Data and Efficient Computations

On Consistency of Community Detection in Networks

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