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Stochastic processes
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531	The Passport Control Problem or How to Keep an Unstable Service System Load Balanced ? A. I TAI Computer Science Department, Technion M. RODEH Add to Reading List Source URL: www.cs.technion.ac.il Language: English - Date: 2013-04-17 12:12:31 Probability and statistics Probability theory Operations research Abstract data types Markov models Queue Mean value analysis Statistics Stochastic processes Queueing theory
532	Stability of Polling Systems with State-Independent Routing Serguei Foss∗, Natalia Chernova† and Artyom Kovalevskii‡ This paper deals with the stability study of polling systems with either finite or infinite (coun Add to Reading List Source URL: math.nsc.ru Language: English Ergodic theory Limit superior and limit inferior Stochastic differential equations Markov processes Markov models Control theory Approximately finite dimensional C*-algebra Itō diffusion Statistics Stochastic processes Point process
533	Power Spectrum Super-Sample Covariance Masahiro Takada Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), The University of Tokyo, Chiba, Japan Wayne Hu Add to Reading List Source URL: background.uchicago.edu Language: English - Date: 2015-01-06 12:05:31 Signal processing Stochastic processes Time series analysis Covariance Spectral density White noise Variance Discrete Fourier transform Statistics Data analysis Covariance and correlation
534	T O APPEAR IN International Jounral of Robotics Research Planning under Uncertainty for Robotic Tasks with Mixed Observability Sylvie C.W. Ong Department of Computer Science, National University of Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-11-12 00:19:53 Stochastic control Control theory Systems theory Cybernetics Partially observable Markov decision process Markov decision process Automated planning and scheduling Observability State space Statistics Dynamic programming Markov processes
535	Diffusion-Limited Aggregation Physics 3300, Weber State University, Spring Semester, 2012 In this project you will again use Monte Carlo methods to study a physical system. The system is extremely simple and you don’t Add to Reading List Source URL: physics.weber.edu Language: English - Date: 2012-03-05 11:53:49 Mathematics Statistical mechanics Computational physics Computer art Diffusion-limited aggregation Random walk Monte Carlo method Brownian motion Spreadsheet Statistics Stochastic processes Probability and statistics
536	epl draft arXiv:0802.2757v2 [cond-mat.stat-mech] 15 Sep 2008 Anomalous Diffusion on the Hanoi Networks Stefan Boettcher and Bruno Gonc Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-02-11 18:59:48 Statistical mechanics Probability and statistics Random walk Anomalous diffusion Brownian motion Renormalization group Degrees of freedom Statistics Physics Stochastic processes
537	RESEARCH REPORT Serial No. 507 November 2013 THRESHOLD MODELS IN TIME SERIES ANALYSIS-SOME REFLECTIONS Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2013-11-05 06:18:22 Non-linear systems Stochastic processes Noise STAR model Autoregressive conditional heteroskedasticity Threshold model Akaike information criterion Moving-average model Maximum likelihood Statistics Time series analysis Estimation theory
538	ML Estimation of the Parameters of SDEs by Numerical Solution of the Fokker-Planck Equation Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:12:12 Stochastic processes Differential equations Equations Multivariable calculus Partial differential equation Fokker–Planck equation Maximum likelihood Normal distribution Finite difference method Statistics Calculus Mathematical analysis
539	Multiserver Capacity Equation Done Right , Dr. Neil J. Gunther Performance Dynamics August 10, 2009 Add to Reading List Source URL: www.perfdynamics.com Language: English - Date: 2009-08-10 16:28:23 Measurement Teletraffic Engineering Stochastic processes Throughput Neil J. Gunther Erlang Dimensional analysis Latency Network performance Statistics Queueing theory
540	Monte Carlo Bayesian Reinforcement Learning Yi Wang WANGY @ COMP. NUS . EDU . SG Kok Sung Won KOKSUNG @ COMP. NUS . EDU . SG Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2012-05-24 21:17:28 Stochastic control Markov models Partially observable Markov decision process Bayesian statistics Reinforcement learning Markov decision process Conjugate prior Markov chain Q-learning Statistics Markov processes Dynamic programming

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