Control Variates for Markov Chain Monte Carlo Variance Reduction

Research in numerous scientific fields, including many of the fundamental research frontiers in science and engineering, has produced large empirical data sets with highly complex structure. There, the search for efficient ways of detecting and evaluating relevant information is currently one of the dominant problems, and the use of sophisticated statistical methods has been advanced as a necessary and central part of the analysis.

Short name and number: 
CVMCMC (235837)
Name of US Partner: 
TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
Contact: 

ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS - RESEARCH CENTER (EL) / MARINOPOULOU Maria

Participating Countries: 
United States
Area: 

No theme specific

Category: 

FP7 Project with U.S. partner