Lancaster University Exact approximate Markov chain Monte Carlo Supervisor:

Source URL: www.lancaster.ac.uk

Risk Price Dynamics∗ Jaroslav Boroviˇcka Lars Peter Hansen† Mark Hendricks

Source URL: borovicka.org

• Mathematical finance
• Stochastic processes
• Stochastic calculus
• Financial economics
• Markov chain
• Girsanov theorem
• Stochastic discount factor
• Economic model
• Price elasticity of demand

Supporting Information Maurits and GriffithspnasWord Order Distribution in Sample Table S1 shows the number of languages with each basic word order in each of the six language families in our sample.

Source URL: www.luke.maurits.id.au

• Word order
• Subjectverbobject
• Subjectobjectverb
• Matrix
• Language
• NigerCongo languages
• Prior probability
• Probability distribution
• Markov chain
• Subject side parameter

Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models Avinava Dubey School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213

Source URL: sinead.github.io

Using Markov Decision Theory to Provide a Fair Challenge in a Roll-and-Move Board Game ´ Eric Beaudry, Francis Bisson, Simon Chamberland and Froduald Kabanza various means. For example, artificial players may have a

Source URL: game.itu.dk

• Dynamic programming
• Markov processes
• Mathematical optimization
• Mathematical analysis
• Probability theory
• Systems theory
• Operations research
• Equations
• Markov decision process
• Bellman equation
• Markov chain
• Reinforcement learning

An Evaluation of Models for Predicting Opponent Positions in First-Person Shooter Video Games Stephen Hladky and Vadim Bulitko filters to predict opponent positions in first-person shooter (FPS) video games. These models

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

• Statistics
• Monte Carlo methods
• Probability theory
• Estimation theory
• Robot control
• Nonparametric statistics
• Markov models
• Particle filter
• Prediction
• Hidden semi-Markov model
• Resampling
• Markov chain

Comput Stat DOIs00180ORIGINAL PAPER Variational Markov chain Monte Carlo for Bayesian smoothing of non-linear diffusions

Source URL: www0.cs.ucl.ac.uk

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

Detecting and classifying anomalous behavior in spatiotemporal network data∗ William Chad Young Joshua E. Blumenstock

Source URL: www.jblumenstock.com

• Markov models
• Machine learning
• Probability theory
• Artificial intelligence
• Hidden Markov model
• Markov chain
• Speech recognition
• Forwardbackward algorithm

1 C 4 : Exploring Multiple Solutions in Graphical Models by Cluster Sampling Jake Porway and Song-Chun Zhu Abstract—This paper presents a novel Markov Chain Monte Carlo (MCMC) inference algorithm called C 4 – Cluste

Source URL: www.stat.ucla.edu