Xi'an's Og

Here are some entries I spotted in the past days as of potential interest, for which I will have not enough time to comment:

• arXiv:1410.0163: Instrumental Variables: An Econometrician’s Perspective by Guido Imbens
• arXiv:1410.0123: Deep Tempering by Guillaume Desjardins, Heng Luo, Aaron Courville, Yoshua Bengio
• arXiv:1410.0255: Variance reduction for irreversible Langevin samplers and diffusion on graphs by Luc Rey-Bellet, Konstantinos Spiliopoulos
• arXiv:1409.8502: Combining Particle MCMC with Rao-Blackwellized Monte Carlo Data Association for Parameter Estimation in Multiple Target Tracking by Juho Kokkala, Simo Särkkä
• arXiv:1409.8185: Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models by Theodoros Tsiligkaridis, Keith W. Forsythe
• arXiv:1409.7986: Hypothesis testing for Markov chain Monte Carlo by Benjamin M. Gyori, Daniel Paulin
• arXiv:1409.7672: Order-invariant prior specification in Bayesian factor analysis by Dennis Leung, Mathias Drton
• arXiv:1409.7458: Beyond Maximum Likelihood: from Theory to Practice by Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
• arXiv:1409.7419: Identifying the number of clusters in discrete mixture models by Cláudia Silvestre, Margarida G. M. S. Cardoso, Mário A. T. Figueiredo
• arXiv:1409.7287: Identification of jump Markov linear models using particle filters by Andreas Svensson, Thomas B. Schön, Fredrik Lindsten
• arXiv:1409.7074: Variational Pseudolikelihood for Regularized Ising Inference by Charles K. Fisher

This entry was posted on October 2, 2014 at 1:28 pm and is filed under Statistics, University life with tags arXiv, Bayesian Analysis, Ising, Monte Carlo methods, simulation, Statistics. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.