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Stochastic process
Results: 1129

#	Item
931	The Mathematica® Journal Probabilistic Programming with Stochastic Memoization Implementing Nonparametric Bayesian Inference Add to Reading List Source URL: www.mathematica-journal.com Language: English - Date: 2013-11-07 04:18:50 Statistical theory Stochastic processes Statistical models Dirichlet process Bayesian inference Conjugate prior Estimation theory Confidence interval Memoization Statistics Statistical inference Bayesian statistics
932	from ACM Transactions on Graphics July 1987 Vol. 6, No. 3 Generalized Stochastic Subdivision J. P. Lewis∗ Computer Graphics Laboratory Add to Reading List Source URL: scribblethink.org Language: English - Date: 2008-03-24 23:35:11 Stochastic processes Noise Autocorrelation Covariance and correlation White noise Spectral density Stationary process Autoregressive model Estimation theory Statistics Signal processing Time series analysis
933	The relative contributions of private information sharing and public information releases to information aggregation Add to Reading List Source URL: www.darrellduffie.com Language: English - Date: 2010-11-29 21:54:21 Probability theory Poisson process Convergence of random variables Statistics Stochastic processes Statistical theory
934	Dynamic Directed Random Matching∗ Darrell Duffie† , Lei Qiao‡ and Yeneng Sun§ Preliminary draft. This version: June 5, 2014 Abstract We show the existence of independent random matching among a continuum of agents Add to Reading List Source URL: www.darrellduffie.com Language: English - Date: 2014-06-06 19:59:23 Probability theory Markov processes Markov chain Stochastic process Random variable Stochastic matrix Probability space Poisson distribution Phase-type distribution Statistics Probability and statistics Markov models
935	Fixed Income Division Symmetry methods for quadratic Gaussian models of interest rate and FX processes Add to Reading List Source URL: www.mth.kcl.ac.uk Language: English - Date: 2010-10-20 13:03:01 Finance Statistics Stochastic processes Volatility smile Investment Volatility Stochastic volatility Black–Scholes Gaussian process Mathematical finance Financial economics Options
936	Solving POMDPs from Both Sides: Growing Dual Parsimonious Bounds Nicholas Armstrong-Crews Geoffrey Gordon Manuela Veloso Add to Reading List Source URL: www.aaai.org Language: English - Date: 2008-06-14 18:56:47 Stochastic control Mathematical sciences Operations research Markov models Partially observable Markov decision process Markov decision process Reinforcement learning Mathematical optimization Linear programming Statistics Markov processes Dynamic programming
937	Journal of Artificial Intelligence Research[removed]Submitted 05/04; published[removed]Finding Approximate POMDP Solutions Through Belief Compression Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2005-01-30 19:00:16 Stochastic control Multivariate statistics Partially observable Markov decision process Statistical theory Automated planning and scheduling Principal component analysis Reinforcement learning Dimension reduction Markov decision process Statistics Dynamic programming Markov processes
938	Planning in the Presence of Cost Functions Controlled by an Adversary H. Brendan McMahan Geoffrey J Gordon Avrim Blum Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-06-24 09:15:18 Linear algebra Dynamic programming Markov processes Stochastic control Markov decision process Linear programming Mathematical optimization Algorithm Matrix Mathematics Algebra Operations research
939	Point-based value iteration: An anytime algorithm for POMDPs Joelle Pineau, Geoff Gordon and Sebastian Thrun Carnegie Mellon University Robotics Institute 5000 Forbes Avenue Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-06-04 12:29:32 Stochastic control Control theory Partially observable Markov decision process Markov decision process Automated planning and scheduling Reinforcement learning Monte Carlo POMDP Statistics Dynamic programming Markov processes
940	Closing the Learning-Planning Loop with PSRs Byron Boots [removed] Sajid M. Siddiqi* [removed] Geoffrey J. Gordon Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-01-15 11:15:38 Stochastic control Markov models Cybernetics Algorithm Partially observable Markov decision process Markov decision process Automated planning and scheduling Machine learning Expectation–maximization algorithm Statistics Dynamic programming Markov processes

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