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Monte Carlo methods
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#	Item
621	A Bayesian Matrix Factorization Model for Relational Data Ajit P. Singh Department of Electrical Engineering University of Washington Seattle, WA 98195, USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-06-12 22:03:53 Statistical theory Monte Carlo methods Regression analysis Conjugate prior Metropolis–Hastings algorithm Generalized linear model Maximum likelihood Variational Bayesian methods Bayesian inference Statistics Bayesian statistics Estimation theory
622	Bibliography [1] C. Alexander, Principal component analysis of implied volatility and skews, ISMA Centre Discussion Paper in Finance 2000–[removed]C. Alexander, Market Models: a Guide to Financial Data Analysis, Wiley, Add to Reading List Source URL: www.markjoshi.com Language: English - Date: 2009-01-27 19:13:55 Finance Swaption Monte Carlo methods in finance Black–Scholes Implied volatility Interest rate derivative LIBOR market model Stochastic volatility Model risk Mathematical finance Financial economics Options
623	To appear in Robotics & Automation Magazine, special issue on Human Centered Robotics and Dependability June[removed]Initial submission Aug[removed]Particle Filters for Rover Fault Diagnosis Vandi Verma, Geoff Gordon, Reid Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-07-02 18:54:32 Robot control Electronic engineering Linear filters Signal processing Monte Carlo methods Particle filter Recursive Bayesian estimation Kalman filter Ensemble Kalman filter Estimation theory Statistics Control theory
624	Decentralized Sensor Fusion with Distributed Particle Filters Matt Rosencrantz, Geoffrey Gordon, and Sebastian Thrun School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-06-04 16:46:10 Applied mathematics Linear filters Robot control Monte Carlo methods Bayesian statistics Particle filter Recursive Bayesian estimation Robotics Kalman filter Statistics Control theory Estimation theory
625	Microsoft PowerPoint - nipstalk.ppt [Compatibility Mode] Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2009-12-08 12:40:43 Computational statistics Statistical inference Particle filter Robot control Condensation algorithm Frank Dellaert Mathematical sciences Applied mathematics Monte Carlo methods Statistics Estimation theory
626	Monitoring a Complex Physical System using a Hybrid Dynamic Bayes Net Uri Lerner Brooks Moses Maricia Scott Sheila McIlraith Add to Reading List Source URL: dpdx.net Language: English - Date: 2005-08-24 01:37:06 Estimation theory Electronic engineering Linear filters Monte Carlo methods Particle filter Kalman filter Normal distribution Graphical models for protein structure Radar tracker Statistics Robot control Control theory
627	Oecologia[removed]:357–365 DOI[removed]s00442[removed]METHODS Estimating global arthropod species richness: refining Add to Reading List Source URL: geo.cbs.umn.edu Language: English - Date: 2013-02-09 14:53:19 Risk analysis Robust statistics Actuarial science Statistical dependence Monte Carlo method Probability distribution Statistical model Non-parametric statistics Copula Statistics Probability and statistics Probability box
628	General-Purpose MCMC Inference over Relational Structures Brian Milch Computer Science Division University of California Berkeley, CA[removed] Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2006-05-22 17:51:15 Monte Carlo methods Markov models Probability theory Normal distribution Markov chain Structure Bayesian network Reversible-jump Markov chain Monte Carlo Model theory Statistics Probability and statistics Computational statistics
629	Abstract Central - Abstract Proof PopUp Page 1 of 2 Print Submitted Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-09-03 19:12:16 Monte Carlo methods Probability and statistics Markov chain Bayesian statistics Markov models Statistics Computational statistics
630	SEMESTER 1 Statistics Track UE - Advanced Topics in Probability and Statistics Probability, Algebra, and Analysis Statistical Inference and Hypothesis Testing Simulation and Monte Carlo Integration Methods Add to Reading List Source URL: www.ensai.fr Language: English - Date: 2014-04-04 11:08:11 Knowledge Course credit Grade Data mining Education Academia Academic transfer

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