<--- Back to Details
First PageDocument Content
Bayesian statistics / Markov models / Statistical theory / Computational statistics / Metropolis–Hastings algorithm / Markov chain Monte Carlo / Markov chain / Bayesian inference / Principle of maximum entropy / Statistics / Probability and statistics / Monte Carlo methods
Date: 2010-04-19 01:12:50
Bayesian statistics
Markov models
Statistical theory
Computational statistics
Metropolis–Hastings algorithm
Markov chain Monte Carlo
Markov chain
Bayesian inference
Principle of maximum entropy
Statistics
Probability and statistics
Monte Carlo methods

Tutorial on Markov Chain Monte Carlo

Add to Reading List

Source URL: kmh-lanl.hansonhub.com

Download Document from Source Website

File Size: 303,31 KB

Share Document on Facebook

Similar Documents

Observational astronomy / Astronomy / Parallel computing / Bayesian network / Sloan Digital Sky Survey / Computing / Bayesian inference / Astronomical survey / Gravitational lens / Computer cluster

Cataloging the Visible Universe through Bayesian Inference at Petascale Jeffrey Regier∗ , Kiran Pamnany† , Keno Fischer‡ , Andreas Noack§ , Maximilian Lam∗ , Jarrett Revels§ , Steve Howard¶ , Ryan Giordano¶ ,

DocID: 1xVn9 - View Document

Humancomputer interaction / Artificial intelligence / Robot control / Virtual reality / Multimodal interaction / Video game controllers / Robot navigation / Haptic technology / Haptic perception / Simultaneous localization and mapping / Occupancy grid mapping / Kalman filter

Haptic SLAM: an ideal observer model for Bayesian inference of object shape and hand pose from contact dynamics Feryal M. P. Behbahani1 , Guillem Singla–Buxarrais2 and A. Aldo Faisal1,2,3 1

DocID: 1xTqR - View Document

Improving the Identifiability of Neural Networks for Bayesian Inference Arya A. Pourzanjani∗, Richard M. Jiang∗, Linda R. Petzold Department of Computer Science University of California, Santa Barbara

DocID: 1uZys - View Document

MAP estimate on GLMs Stochastic Gradient Descent (SGD) MAP to Bayesian Inference

DocID: 1uTAz - View Document

Bayesian Analysis, Number 4, pp. 817–846 Inference of global clusters from locally distributed data

DocID: 1uGu0 - View Document