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Stochastic process
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21	Modelling circadian rhythms using stochastic process algebra Jane Hillston. University of Edinburgh. Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2010-12-06 05:03:26 Statistical randomness PEPA Process calculi Jane Hillston Circadian rhythm Probability Process calculus Scientific modelling Stochastic Academia Statistics
22	Master thesis ANALYSIS OF A SIMPLE METHOD TO APPROXIMATE THE EXPECTED STATE OF A MARKOV CHAIN By Add to Reading List Source URL: disco.ethz.ch Language: English - Date: 2014-09-26 08:36:24 Markov models Probability theory Statistics Probability Probabilistic complexity theory Markov processes Statistical models Graph theory Markov chain Randomized algorithm Stochastic process Algorithm
23	An Aggregation Technique For Large-Scale PEPA Models With Non-Uniform Populations Alireza Pourranjbar, Jane Hillston School of Informatics, University of Edinburgh 10th December 2013 Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-12-16 05:45:52 Mathematical analysis Statistics Exponentials Probability distributions Economic model Stochastic process Exponential function Process calculus PEPA Generalizations of the derivative Conceptual model Exponential distribution
24	A Hidden Markov Stochastic Volatility Model for Energy Prices Robert J. Elliott∗ Tao Lin† Hong Miao‡ To describe the complex behavior of energy prices, we propose a stochastic volatility model, where Add to Reading List Source URL: www.bbk.ac.uk Language: English - Date: 2007-03-27 13:47:21 Mathematical finance Economy Applied mathematics Finance Volatility Stochastic volatility OrnsteinUhlenbeck process Benchmark CoxIngersollRoss model International Petroleum Exchange Volatility smile Implied volatility
25	Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling Goal-Based Action Priors David Abel, D. Ellis Hershkowitz, Gabriel Barth-Maron, Stephen Brawner, Kevin O’Farrell, James Mac Add to Reading List Source URL: h2r.cs.brown.edu Language: English - Date: 2016-03-28 19:05:32 Cognitive science Artificial intelligence Automated planning and scheduling Probability Dynamic programming Markov processes Stochastic control Reinforcement learning Markov decision process Motion planning Action selection Prior probability
26	Master thesis ANALYSIS OF A SIMPLE METHOD TO APPROXIMATE THE EXPECTED STATE OF A MARKOV CHAIN By Add to Reading List Source URL: disco.ethz.ch Language: English - Date: 2014-09-26 08:36:29 Probability Markov models Probabilistic complexity theory Markov processes Statistics Graph theory Markov chain Randomized algorithm Stochastic process Algorithm Catalog of articles in probability theory
27	Gaussian multiplicative chaos and KPZ duality Julien Barral∗ , Xiong Jin† R´ emi Rhodes‡ , and Vincent Vargas‡ Abstract: This paper is concerned with the construction of atomic Gaussian multiplicative chaos and Add to Reading List Source URL: personalpages.manchester.ac.uk Language: English - Date: 2013-09-19 07:58:33 Statistics Mathematical analysis Probability Stochastic processes Normal distribution Gaussian free field Gaussian process Covariance Gaussian measure
28	An introduction to models of evolutionary rescue Hildegard Uecker within the course Modelling in evolutionary ecology University of Vienna April 29 and May 13, 2016 Add to Reading List Source URL: www.mabs.at Language: English - Date: 2016-05-31 06:43:38 Biology Mathematical analysis Statistics Stochastic processes Evolutionary biology Sexual selection Population genetics Genetic genealogy Branching process Probability distribution GaltonWatson process Fitness
29	STATIONARY TANGENT: THE DISCRETE AND NON-SMOOTH CASE U. KEICH Abstract. In [5] we deﬁne a stationary tangent process, or a locally optimal stationary approximation, to a real non-stationary smooth Gaussian process. Thi Add to Reading List Source URL: www.maths.usyd.edu.au Language: English - Date: 2002-12-09 16:28:18 Mathematical analysis Probability Stochastic processes Stochastic differential equations Markov models Signal processing Stationary process Derivative Spectrum Normal distribution OrnsteinUhlenbeck process Markov chain
30	Introduction Continuous State Space Models Case Study in Web Services Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2005-09-27 05:37:25 Probability theory Markov models Markov processes Probability Engineering Stochastic processes Process calculi PEPA Jane Hillston Markov chain Queueing theory Laboratory for Foundations of Computer Science

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