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Stochastic process
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#	Item
261	Institute for Economic Studies, Keio University Keio-IES Discussion Paper Series Local risk-minimization for Barndorff-Nielsen and Shephard models Takuji Arai Ryoichi Suzuki Add to Reading List Source URL: ies.keio.ac.jp Language: English - Date: 2015-04-17 06:41:32 Martingale theory Stochastic processes Stochastic calculus Mathematical finance Integral calculus Malliavin calculus Martingale Doléans-Dade exponential Lévy process Statistics Probability theory Mathematical analysis
262	Tetsuo Sasao and Andr´ e B. Fletcher Introduction to VLBI Systems Chapter 4 Lecture Notes for KVN Students Partly based on Ajou University Lecture Notes Add to Reading List Source URL: www.astro.sci.yamaguchi-u.ac.jp Language: English - Date: 1979-12-31 19:15:56 Applied mathematics Covariance and correlation Time series analysis Stochastic processes Autocorrelation Stationary process Very Long Baseline Interferometry Quantization Nyquist–Shannon sampling theorem Statistics Signal processing Digital signal processing
263	Journal of Artificial Intelligence Research–778 Submitted 04/14; publishedTutorial on Structured Continuous-Time Markov Processes Christian R. Shelton Add to Reading List Source URL: jair.org Language: English - Date: 2014-12-23 19:06:41 Stochastic processes Markov chain Continuous-time Markov process Markov property Hidden Markov model Poisson process Uniformization Stochastic matrix Discretization Statistics Markov processes Markov models
264	Time-Markovian Representation of Spatio-Temporal Gaussian Processes (with Applications) Simo S¨arkk¨a Department of Biomedical Engineering and Computational Science (BECS) Aalto University, Espoo, Finland Add to Reading List Source URL: inverse-problems.org Language: English - Date: 2013-09-02 06:15:32 Spectral density Ornstein–Uhlenbeck process Markov process Stochastic differential equation White noise Ordinal number Statistics Stochastic processes Gaussian process
265	A survey of the Dirichlet process and its role in nonparametrics Jayaram Sethuraman Department of Statistics Florida State University Add to Reading List Source URL: www.nps.edu Language: English - Date: 2013-09-23 21:16:44 Stochastic processes Bayesian statistics Estimation theory Frequentist inference Dirichlet process Bayesian inference Exchangeable random variables Statistics Statistical inference Statistical theory
266	This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2014-06-14 11:52:11 Brownian excursion Brownian motion Wiener process Brownian bridge Statistics Stochastic processes Probability theory
267	Journal of Artificial Intelligence Research337 Submitted 06/08; publishedMonte Carlo Sampling Methods for Approximating Interactive POMDPs Add to Reading List Source URL: jair.org Language: English - Date: 2009-03-24 14:18:15 Probability and statistics Estimation theory Dynamic programming Markov processes Stochastic control Partially observable Markov decision process Particle filter Importance sampling Kalman filter Statistics Control theory Robot control
268	What Makes Some POMDP Problems Easy to Approximate? David Hsu∗ Wee Sun Lee∗ Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2007-10-02 20:38:57 Stochastic control Control theory Partially observable Markov decision process Markov decision process Statistics Dynamic programming Markov processes
269	ELSWIER stochastic processes and their applications Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-03-10 05:19:55 Empirical process Brownian motion Heat equation Itō diffusion Statistics Stochastic processes Point process
270	Genetic Programming as Policy Search in Markov Decision Processes Chris Gearhart P.O. BoxStanford, CA 94309 Add to Reading List Source URL: www.genetic-programming.org Language: English - Date: 2006-11-17 21:29:08 Probability and statistics Markov processes Stochastic control Markov models Mathematical optimization Reinforcement learning Markov decision process Automated planning and scheduling Bellman equation Statistics Mathematics Dynamic programming

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