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 Date: 2014-04-21 16:22:40Conjugate prior Markov chain Monte Carlo Prior probability Maximum likelihood Gibbs sampling Estimation theory Generalized linear model Metropolis–Hastings algorithm Marginal likelihood Statistics Bayesian statistics Bayesian inference |
| Student-t Processes as Alternatives to Gaussian Processes Supplementary Material In Appendix 1, we provide proofs of Lemmas and Corollaries from our paper. We describe the derivatives of the log marginal likelihood of tDocID: 1t1D2 - View Document |
| Learning Latent Groups with Hinge-loss Markov Random Fields Stephen H. Bach Bert Huang Lise Getoor University of Maryland, College Park, Maryland 20742, USADocID: 1qbzZ - View Document |
| Inference, Models and Simulation for Complex Systems Lecture 5 Prof. Aaron Clauset 1DocID: 1pZJJ - View Document |
| Documentation Migrate VersionPeter BeerliDocID: 1pviJ - View Document |
| CELEBRATING 30 YEARS doimksc © 2011 INFORMS Vol. 30, No. 1, January–February 2011, pp. 22–24 issn ! eissn 1526-548X ! 11 ! 3001 ! 0022DocID: 1p1Ku - View Document |