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Stochastic process
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661	MONTE CARLO METHODS FOR THE VALUATION OF MULTIPLE EXERCISE OPTIONS N. Meinshausen1 and B.M. Hambly2 Abstract We discuss Monte Carlo methods for valuing options with multiple exercise features in discrete time. By extendi Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2006-04-27 11:03:47 Markov processes Martingale theory Randomness Game theory Martingale Monte Carlo method Markov chain Markov decision process Stopping time Statistics Probability and statistics Stochastic processes
662	Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations Timothy A. Mann MANN @ EE . TECHNION . AC . IL Shie Mannor SHIE @ EE . TECHNION . AC . IL Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Markov processes Stochastic control Operations research Mathematical sciences Analytic number theory Markov decision process Reinforcement learning Mathematical optimization Prime-counting function Statistics Control theory Dynamic programming
663	Supplementary material for Dependent Normalized Random Measures Changyou Chen1,3 1 Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-06-11 05:59:52 Stochastic processes Gamma distribution Characteristic function Poisson process Statistics Probability theory Probability and statistics
664	Proceedings of the 2006 American Control Conference Minneapolis, Minnesota, USA, June 14-16, 2006 FrA16.5 Stochastic Reachability Analysis in Complex Biological Networks Add to Reading List Source URL: sysos.eng.ox.ac.uk Language: English - Date: 2012-03-04 12:58:45 Markov chain Langevin equation Martingale Infinitesimal generator Markov process Statistics Stochastic processes Stochastic differential equation
665	INTERSPEECH[removed]Inﬁnite Support Vector Machines in Speech Recognition Jingzhou Yang, Rogier C. van Dalen and Mark Gales Department of Engineering, University of Cambridge Trumpington Street, Cambridge, CB2 1PZ, UK Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-09-24 18:34:41 Stochastic processes Statistical classification Statistical theory Mixture model Parametric model Dirichlet process Hidden Markov model Generative model Support vector machine Statistics Statistical models Machine learning
666	Stick-Breaking Beta Processes and the Poisson Process 1 John Paisley1 David M. Blei3 Michael I. Jordan1,2 Department of EECS, 2 Department of Statistics, UC Berkeley Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2012-03-19 20:32:26 Poisson process Gamma distribution Markov chain Dirichlet process Ordinal number Statistics Markov processes Stochastic processes
667	PDF Document Add to Reading List Source URL: leecenter.caltech.edu Language: English - Date: 2009-05-06 11:07:01 Mathematical optimization Operations research Dynamic programming Equations Stochastic control Optimal control Markov decision process Brownian motion Linear programming Mathematical analysis Statistics Mathematics
668	Variational Inference for Adaptor Grammars Noah A. Smith David M. Blei Shay B. Cohen School of Computer Science Computer Science Department School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Stochastic processes Bayesian statistics Statistical models Probability theory Dirichlet process Formal grammar Pitman–Yor process Gibbs sampling Inside-outside algorithm Statistics Probability and statistics Formal languages
669	Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable Lauren A. Hannah Duke University Durham, NC 27701 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-11-02 06:13:04 Stochastic optimization Operations research Mathematical optimization Dirichlet process Stochastic approximation Newsvendor model Mixture model Stochastic gradient descent Gradient descent Statistics Probability and statistics Numerical analysis
670	Markov Decision Processes Hal Daumé III Computer Science University of Maryland [removed] CS 421: Introduction to Artificial Intelligence Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2012-02-21 13:09:13 Markov processes Markov models Reinforcement learning Markov decision process Artificial intelligence Reinforcement Ai Statistics Dynamic programming Stochastic control

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