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![]() Date: 2011-05-21 11:48:52Computational statistics Stochastic optimization Statistical mechanics Estimation theory Markov chain Monte Carlo Langevin dynamics Stochastic approximation Metropolis–Hastings algorithm Mixture model Statistics Probability and statistics Monte Carlo methods | Add to Reading List |
![]() | Distributed and Adaptive Darting Monte Carlo through Regenerations Sungjin Ahn Department of Computer Science University of California, Irvine Irvine, CA, USADocID: 1gt0t - View Document |
![]() | Bayesian Learning via Stochastic Gradient Langevin DynamicsDocID: 1gqmD - View Document |
![]() | A STUDY INTO THE EFFECT OF DIFFERENT FORMULATIONS OF THE METROPOLIS-HASTINGS ALGORITHM IN ESTIMATING MODEL PARAMETERS AND ERRORS Edmund Ryan*, Mat Williams**, Shaun Quegan* *Department of Applied Mathematics, UniversityDocID: 1fJhv - View Document |
![]() | Static Bayesian networks Genetische Netzwerke SommersemesterNODESDocID: 1b2f6 - View Document |
![]() | Scaling Limits for the Transient Phase of Local Metropolis-Hastings Algorithms by Ole F. Christensen* andDocID: 1aVrh - View Document |