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Markov processes
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221	On subspaces spanned by random selections of ±±1 vectors A. M. Odlyzko AT&T Bell Laboratories Murray Hill, NJABSTRACT Add to Reading List Source URL: www.dtc.umn.edu Language: English - Date: 1998-04-13 22:12:48 Determinant Markov processes Mathematics Matrix theory Matrix
222	BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 1, Number 2, March 1979 ERGODIC THEOREMS IN DEMOGRAPHY BY JOEL E. COHEN1 Add to Reading List Source URL: lab.rockefeller.edu Language: English - Date: 2012-02-08 16:23:17 Markov processes Population Probability theory Ergodic theory Markov models Perron–Frobenius theorem Markov chain Leslie matrix Ergodicity Statistics Mathematics Matrices
223	Anonymous Byzantine Consensus from Moderately-Hard Puzzles: A Model for Bitcoin Andrew Miller University of Central Florida Abstract—We present a formal model of synchronous processes Add to Reading List Source URL: tr.eecs.ucf.edu Language: English - Date: 2014-04-23 23:25:18 Fault-tolerant computer systems Consensus Bitcoin Stochastic processes Markov processes Distributed algorithm Poisson process Peer-to-peer Byzantine fault tolerance Statistics Computing Probability and statistics
224	1. Ruin probability for L´ evy processes. 2. Application. Ruin probability for Risk reserve process. Ruin probability for a process with Add to Reading List Source URL: www.eurandom.tue.nl Language: English - Date: 2009-03-23 10:55:30 Probability and statistics Markov models Poisson processes Markov chain Probability distribution Probability Statistics Stochastic processes Markov processes
225	nocommit_revision_final.dvi Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:03:57 Probability and statistics Stochastic differential equations Markov processes Dynamic programming Markov chain Lars Peter Hansen Bellman equation Filtering problem Kalman filter Statistics Control theory Markov models
226	The Randomness of the Real World In the real-world, there are many random (formally, stochastic) systems changing over time which can be modelled very accurately through sequences of dependent random variables than indep Add to Reading List Source URL: eagle-essays.com Language: English - Date: 2015-03-10 11:24:21 Stochastic processes Estimation theory Markov chain Random walk Bioinformatics Stochastic matrix Andrey Markov Maximum likelihood Likelihood function Statistics Markov models Markov processes
227	Convergence of Markov Processes August 2, 2010 Martin Hairer Mathematics Department, University of Warwick Email: Add to Reading List Source URL: www.hairer.org Language: English - Date: 2010-08-02 06:55:18
228	19060 • The Journal of Neuroscience, December 4, 2013 • 33(49):19060 –Behavioral/Cognitive The Irrationality of Categorical Perception Stephen M. Fleming,1,2 Laurence T. Maloney,1 and Nathaniel D. Daw1 Add to Reading List Source URL: psych.nyu.edu Language: English - Date: 2015-02-23 11:10:47 Perception Mental processes Probability interpretations Markov models Detection theory Calibrated probability assessment Categorical perception Bayesian probability Prior probability Bayesian statistics Probability Statistics
229	Markov processes II Jakob G. Rasmussen Department of Mathematics Aalborg University Denmark Add to Reading List Source URL: people.math.aau.dk - Date: 2011-12-09 08:44:53
230	High Performance Computing II Lecture 41 More Monte Carlo Monte Carlo methods based on random Markov processes are very popular because Add to Reading List Source URL: www.physics.buffalo.edu - Date: 2014-03-25 12:14:08

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