Least-Squares Regret and Partially Strategic Players Chlump Chatkupt A thesis submitted for the degree of Doctor of Philosophy

Source URL: www.maths.lse.ac.uk

• Game theory
• Nash equilibrium
• Solution concept
• Bayesian game
• Quantal response equilibrium
• Strategy
• Outcome
• Zero-sum game
• Centipede game
• Bargaining problem
• Coordination game
• Minimax

Active Learning of Model Evidence Using Bayesian Quadrature Michael A. Osborne University of Oxford

Source URL: probabilistic-numerics.org

Two-sample Bayesian Nonparametric Hypothesis Testing

Source URL: arxiv.org

Bayesian Learning via Stochastic Gradient Langevin Dynamics Max Welling D. Bren School of Information and Computer Science, University of California, Irvine, CA, USA Yee Whye Teh

Source URL: www.icml-2011.org

• Applied mathematics
• Statistical randomness
• Probability and statistics
• Monte Carlo methods
• Markov models
• Statistical mechanics
• Stochastic optimization
• Computational statistics
• Markov chain Monte Carlo
• Stochastic approximation
• Langevin dynamics
• Bayesian network

Introduction : Learning with PAC-Bayes Bounds Three Types of PAC-Bayesian Bounds Computational Issues PAC-Bayesian Bounds and Aggregation: Introduction, and Algorithmic Issues

Source URL: alquier.ensae.net

Variational Bayesian Mixture of Robust CCA Models Jaakko Viinikanoja, Arto Klami, and Samuel Kaski Aalto University School of Science and Technology Department of Information and Computer Science Helsinki Institute for I

Source URL: users.ics.aalto.fi

BAYESIAN STATISTICS 8, pp. 3–24. J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West (Eds.) c Oxford University Press, 2007

Source URL: research.microsoft.com

A Level-set Hit-and-run Sampler for Quasi-Concave Distributions Shane T. Jensen and Dean P. Foster Department of Statistics, The Wharton School, University of Pennsylvania Abstract

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

• Monte Carlo methods
• Markov chain Monte Carlo
• Non-uniform random numbers
• Probability distributions
• Computational statistics
• Gibbs sampling
• Rejection sampling
• MetropolisHastings algorithm
• Slice sampling
• Bayesian network
• Quasiconvex function
• Normal distribution

PROOFS OF APPENDIX A Proof of PROPOSITION A1 (pure strategy Bayesian-Nash equilibria in the PUparticipation game without allied voters): The proof is a straightforward probabilistic extension of Palfrey and Rosenthal (19

Source URL: www1.feb.uva.nl

Bayesian Benefits for the Pragmatic Researcher Eric-Jan Wagenmakers1 , Richard D. Morey2 , and Michael D. Lee3 1 University of Amsterdam 2 Cardiff University 3 University of California Irvine Correspondence concerning th

Source URL: dl.dropboxusercontent.com