Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1376 Stochastic Simulation of Multiscale Reaction-Diffusion Models via First Exit Times

Source URL: uu.diva-portal.org

Statistics 542 Spring 2016 Course Description: Bayesian Methods and Computation The goal of this course is to develop sophisticated tools for probability modeling and data analysis from the Bayesian perspective. Key topi

Source URL: www-stat.wharton.upenn.edu

• Statistics
• Statistical theory
• Statistical inference
• Statistical models
• Sampling techniques
• Statistical mechanics
• Stochastic simulation
• Bayesian network
• Bayesian inference
• Bayesian statistics
• Bayesian
• Monte Carlo method

The Heston Stochastic-Local Volatility Model: Efficient Monte Carlo Simulation Anthonie W. van der Stoepb,c∗ Lech A. Grzelakb,c Cornelis W. Oosterleea,c

Source URL: ta.twi.tudelft.nl

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Source URL: www.csse.uwa.edu.au

• Game artificial intelligence
• Electronic games
• Monte Carlo methods
• Combinatorial game theory
• Monte Carlo tree search
• Stochastic simulation
• Computer Go
• UCT
• Elo rating system
• Receiver operating characteristic
• Evaluation
• Computer chess

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Source URL: cocosci.berkeley.edu

• Statistics
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• Philosophy
• Philosophy of science
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Stochastic Activity Authoring with Direct User Control Aline Normoyle∗ University of Pennsylvania Maxim Likhachev † Carnegie Mellon University

Source URL: www.alinenormoyle.com

• Simulation
• Stochastic processes
• Operations research
• Scientific modeling
• Models of computation
• Markov chain
• Random walk
• Crowd simulation
• Agent-based model
• Stochastic
• Traffic flow

Combining Final Score with Winning Percentage by Sigmoid Function in Monte-Carlo Simulations Kazutomo SHIBAHARA Abstract— Monte-Carlo method recently has produced good results in Go. Monte-Carlo Go uses a move which ha

Source URL: www.csse.uwa.edu.au

• Mathematics
• Game artificial intelligence
• Applied mathematics
• Statistics
• Monte Carlo methods
• Combinatorial game theory
• Monte Carlo tree search
• Stochastic simulation
• Computer Go
• Minimax
• Simulation
• Monte Carlo

The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty Ron Alterovitz Thierry Sim´eon

Source URL: goldberg.berkeley.edu

• Probability theory
• Mathematical analysis
• Mathematics
• Markov processes
• Robot control
• Classical mechanics
• Markov models
• Dynamic programming
• Motion planning
• Stochastic roadmap simulation
• Probabilistic roadmap
• Markov decision process

A Simple Sequential Algorithm for Approximating Bayesian Inference Elizabeth Bonawitz, Stephanie Denison, Annie Chen, Alison Gopnik, & Thomas L. Griffiths {liz b, smdeniso, c annie, gopnik, tom griffiths}@berkeley.edu De

Source URL: ccdlab.rutgers.edu

• Statistics
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• Particle filter
• Bayesian probability
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INFORMS MATHEMATICS OF OPERATIONS RESEARCH Vol. 00, No. 0, Xxxxx 0000, pp. 000–000 issn 0364-765X | eissn | 00 | 0000 | 0001

Source URL: arxiv.org

• Statistics
• Statistical theory
• Estimation theory
• Bayesian statistics
• Statistical inference
• Stochastic simulation
• Loss function
• Bayes estimator
• Reinforcement learning
• Sampling
• Posterior probability
• Confidence interval