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Stochastic process
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#	Item
751	Ann Math Artif Intell DOI[removed]s10472[removed]Planning in partially-observable switching-mode continuous domains Emma Brunskill · Leslie Pack Kaelbling · Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:16:52 Stochastic control Control theory Partially observable Markov decision process Automated planning and scheduling Markov decision process Monte Carlo POMDP State space Dynamical system Continuous function Statistics Dynamic programming Markov processes
752	CAPIR: Collaborative Action Planning with Intention Recognition Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:25 Stochastic control Markov models Artificial intelligence Action selection Markov decision process Ghostbusters Markov chain Reinforcement learning Statistics Markov processes Dynamic programming
753	Belief space planning assuming maximum likelihood observations Robert Platt Jr., Russ Tedrake, Leslie Kaelbling, Tomas Lozano-Perez Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Techn Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:08 Estimation theory Optimal control Stochastic control Robot control Kalman filter Partially observable Markov decision process Linear-quadratic-Gaussian control Algebraic Riccati equation Maximum likelihood Control theory Systems theory Cybernetics
754	Representing hierarchical POMDPs as DBNs for multi-scale robot localization Georgios Theocharous THEOCHAR @ AI . MIT. EDU Kevin Murphy MURPHYK @ AI . MIT. EDU Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:50 Dynamic programming Stochastic control Hierarchical hidden Markov model Partially observable Markov decision process Hidden Markov model Markov decision process Expectation–maximization algorithm Markov chain Belief propagation Statistics Markov processes Markov models
755	Strong approximation for additive functionals of geometrically ergodic Markov chains F. Merlevèdea and E. Riob a Université Paris Est, LAMA (UMR 8050), UPEM, CNRS, UPEC. 5 Boulevard Descartes, Add to Reading List Source URL: hal.archives-ouvertes.fr Language: English - Date: 2014-07-23 10:13:30 Markov models Markov chain Poisson distribution Poisson process Normal distribution Markov property Mixing Komlós–Major–Tusnády approximation János Komlós Statistics Markov processes Stochastic processes
756	INTERNET TRAFFIC TENDS TOWARD POISSON AND INDEPENDENT 1 Internet Traffic Tends Toward Poisson and Independent as the Load Increases Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2004-02-20 19:55:05 Markov processes Queueing theory Scheduling algorithms Queueing model Poisson process Router Transmission time Statistical time division multiplexing Transmission Control Protocol Statistics Stochastic processes Markov models
757	On the Nonstationarity of Internet Traffic Jin Cao, William S. Cleveland, Dong Lin, and Don X. Sun fStatistics, Statistics, Networked Computing, Statisticsg Research Bell Labs, Murray, Hill, NJ Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2004-02-20 20:17:44 Network performance Markov models Poisson process Queueing theory Throughput Weibull distribution Transmission Control Protocol Normal distribution Transmission time Statistics Stochastic processes Markov processes
758	Monitoring as a partially observable decision problem Add to Reading List Source URL: www.fs.fed.us Language: English - Date: 2014-07-23 10:49:33 Stochastic control Markov models Partially observable Markov decision process Probability and statistics Markov chain Markov decision process Environmental monitoring Bellman equation Adaptive management Statistics Markov processes Dynamic programming
759	© Copyright, Princeton University Press. No part of this book may be distributed, posted, or reproduced in any form by digital or mechanical means without prior written permission of the publisher. Chapter 1 Add to Reading List Source URL: press.princeton.edu Language: English - Date: 2014-04-24 14:50:57 Semimartingale Wiener process Brownian motion Quadratic variation Martingale Stochastic differential equation Stochastic calculus Law Local martingale Statistics Stochastic processes Martingale theory
760	Non linear filtering and optimal investment under partial information for stochastic volatility models Dalia Ibrahim; Frédéric Abergel∗; July 6, 2014 hal[removed], version[removed]Jul 2014 Add to Reading List Source URL: hal.archives-ouvertes.fr Language: English - Date: 2014-07-07 02:50:00 Filtering problem Brownian motion Black–Scholes Wiener process Heston model Girsanov theorem Malliavin calculus Martingale Kalman filter Statistics Stochastic processes Stochastic differential equation

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