Archive for integer valued functions

Special Issue of ACM TOMACS on Monte Carlo Methods in Statistics

Posted in Books, R, Statistics, University life with tags , , , , , , , , , , , , on December 10, 2012 by xi'an

As posted here a long, long while ago, following a suggestion from the editor (and North America Cycling Champion!) Pierre Lécuyer (Université de Montréal), Arnaud Doucet (University of Oxford) and myself acted as guest editors for a special issue of ACM TOMACS on Monte Carlo Methods in Statistics. (Coincidentally, I am attending a board meeting for TOMACS tonight in Berlin!) The issue is now ready for publication (next February unless I am confused!) and made of the following papers:

* Massive parallelization of serial inference algorithms for a complex generalized linear model
MARC A. SUCHARD, IVAN ZORYCH, PATRICK RYAN, DAVID MADIGAN
*Convergence of a Particle-based Approximation of the Block Online Expectation Maximization Algorithm
SYLVAIN LE CORFF and GERSENDE FORT
* Efficient MCMC for Binomial Logit Models
AGNES FUSSL, SYLVIA FRÜHWIRTH-SCHNATTER, RUDOLF FRÜHWIRTH
* Adaptive Equi-Energy Sampler: Convergence and Illustration
AMANDINE SCHRECK and GERSENDE FORT and ERIC MOULINES
* Particle algorithms for optimization on binary spaces
CHRISTIAN SCHÄFER
* Posterior expectation of regularly paved random histograms
RAAZESH SAINUDIIN, GLORIA TENG, JENNIFER HARLOW, and DOMINIC LEE
* Small variance estimators for rare event probabilities
MICHEL BRONIATOWSKI and VIRGILE CARON
* Self-Avoiding Random Dynamics on Integer Complex Systems
FIRAS HAMZE, ZIYU WANG, and NANDO DE FREITAS
* Bayesian learning of noisy Markov decision processes
SUMEETPAL S. SINGH, NICOLAS CHOPIN, and NICK WHITELEY

Here is the draft of the editorial that will appear at the beginning of this special issue. (All faults are mine, of course!) Continue reading

Follow

Get every new post delivered to your Inbox.

Join 701 other followers