**H**ere 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