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Monte Carlo methods
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231	Department of Electrical and Computer Systems Engineering Technical Report MECSE Add to Reading List Source URL: www.ecse.monash.edu.au Language: English - Date: 2007-01-24 08:31:52 Control theory Electronic engineering Linear filters Monte Carlo methods Robot navigation Extended Kalman filter Simultaneous localization and mapping Particle filter Kalman filter Robot control Statistics Estimation theory
232	Baseline: Practical Control Variates for Agent Evaluation in Zero-Sum Domains Joshua Davidson, Christopher Archibald and Michael Bowling {joshuad, archibal, bowling}@ualberta.ca Department of Computing Science University Add to Reading List Source URL: poker.cs.ualberta.ca Language: English - Date: 2013-08-20 15:50:17 Variance reduction Statistical theory Computational statistics Antithetic variates Variance Estimator Control variates Efficiency Normal distribution Statistics Monte Carlo methods Estimation theory
233	Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation David Wingate Andreas Stuhlmüller Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2011-06-30 04:29:48 Monte Carlo methods Statistical models Importance sampling Variance reduction Stochastic process Markov chain Monte Carlo Mixture model Markov chain Kalman filter Statistics Probability and statistics Markov models
234	Ph125c lecture notes, Coupling to a continuum; Fermi’s Golden Rule So far in our discussion we have implicitly assumed that \|k and \|s lie in a discrete (bound) part of the eigenspectrum of H 0 , as opposed to Add to Reading List Source URL: www.its.caltech.edu Language: English - Date: 2001-04-19 00:00:07 Schrödinger equation Free particle Wave Probability current Scattering length Monte Carlo methods for electron transport Physics Quantum mechanics Scattering cross-section
235	Part A Simulation and Statistical Programming HT 2015 Problem Sheet 3 due Week 7 Tuesday 10am 1. (a) Give a Metropolis-Hastings algorithm to sample according to the Gamma probability density function, p(x) ∝ xα−1 ex Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2015-02-23 13:52:48 Computational statistics Probability and statistics Markov models Markov processes Metropolis–Hastings algorithm Markov chain Gibbs sampling Itō diffusion Bayesian inference in phylogeny Statistics Monte Carlo methods Markov chain Monte Carlo
236	Probabilistic Inference Using Markov Chain Monte Carlo Methods Radford M. Neal Technical Report CRG-TR-93-1 Department of Computer Science University of Toronto Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Markov models Monte Carlo methods Markov chain Monte Carlo Statistical models Gibbs sampling Bayesian inference Bayesian network Bayesian probability Probabilistic logic Statistics Probability and statistics Bayesian statistics
237	MONTE CARLO BOUNDS FOR GAME OPTIONS INCLUDING CONVERTIBLE BONDS CHRISTOPHER BEVERIDGE AND MARK JOSHI Abstract. We introduce two new methods to calculate bounds for zero-sum game options using Monte Carlo simulation. Thes Add to Reading List Source URL: fbe.unimelb.edu.au Language: English - Date: 2013-08-05 02:09:39 Investment Mathematical finance Equations Option style Asian option Tk Option Black–Scholes Financial economics Options Finance
238	Adaptive Monte Carlo via Bandit Allocation James Neufeld JNEUFELD @ UALBERTA . CA Andr´as Gy¨orgy GYORGY @ UALBERTA . CA Dale Schuurmans Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2014-05-18 17:42:18 Monte Carlo methods Statistical theory Decision theory Estimator M-estimator Importance sampling Mean squared error Bias of an estimator Regret Statistics Estimation theory Statistical inference
239	A∗ Sampling Chris J. Maddison Dept. of Computer Science University of Toronto Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2015-01-26 10:22:24 Monte Carlo methods Slice sampling Poisson processes Gumbel distribution Gibbs sampling Exponential distribution Estimation theory Order statistic Rejection sampling Statistics Markov chain Monte Carlo Non-uniform random numbers
240	CURRICULUM VITAE Jeffrey S. Rosenthal (Last updated April 16, BIOGRAPHICAL INFORMATION: Personal: Add to Reading List Source URL: probability.ca Language: English - Date: 2015-04-16 10:11:05 Stochastic processes Markov chain Monte Carlo Markov processes Jeffrey S. Rosenthal Markov chain Metropolis–Hastings algorithm Random walk Stochastic Gibbs sampling Statistics Markov models Monte Carlo methods

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