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Markov number
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21	The 22nd Nordic Mathematical Contest 31 March 2008 Solutions Time allowed is 4 hours. Each problem is worth 5 points. The only permitted aids are writing and drawing materials. Problem 1 Add to Reading List Source URL: www.georgmohr.dk Language: English - Date: 2008-04-02 12:57:27 Coprime Number theory Circle Triangle Fibonacci number Markov number Geometry Mathematics Pi
22	Strong laws of large numbers for capacities ∗ Zengjing Chen Shandong University and Ajou University JinanChina, Suwon Korea E-mail: Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Probability and statistics Choquet integral Central limit theorem Expected value Almost surely Random variable Brownian motion Ordinal number Markov chain Statistics Probability theory Mathematical analysis
23	Stable Dual Dynamic Programming Tao Wang Daniel Lizotte Michael Bowling Dale Schuurmans Department of Computing Science Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2007-10-21 19:53:48 Convex optimization Mathematical optimization Number theory Topological groups Markov decision process Linear programming Reinforcement learning Representation theory Μ operator Mathematics Algebra Operations research
24	A general algorithm to compute the steady-state solution of product-form cooperating Markov chains Andrea Marin ∗ , Samuel Rota Bul`o ∗ Add to Reading List Source URL: www.dsi.unive.it Language: English - Date: 2010-08-27 12:11:14 Constructible universe Logic Markov chain Symbol Ordinal number
25	Mixing Times for the Branch-Rotation Chain on Cladograms (or the Triangulation Walk) This concerns two problems which are similar (intuitively, at least). Con2n−4)! sider the regular n-gon. There are a finite number Cn Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2005-12-16 11:50:43 Phylogenetics Combinatorics Markov processes Stochastic processes Triangulation Cladogram Markov chain Catalan number Cladistics Statistics Mathematics Markov models
26	SUFFICIENTLY RICH FAMILIES OF PLANAR RINGS J. W. Cannon, W. J. Floyd, and W. R. Parry October 18, 1996 Abstract. It has been conjectured that if G is a negatively curved discrete group with space at infinity ∂G the 2- Add to Reading List Source URL: www.math.vt.edu Language: English - Date: 1996-10-21 11:48:37 Analytic number theory Markov processes Invariant theory
27	Elsevier Editorial System(tm) for Pervasive and Mobile Computing Manuscript Draft Manuscript Number: PMC-D-08-00114R2 Title: Wearable-Sensor Activity Analysis Using Semi-Markov Models with a Grammar. Article Type: Resear Add to Reading List Source URL: www2.mta.ac.il Language: English - Date: 2009-12-16 18:15:39 Expectation–maximization algorithm Segmentation Markov chain Support vector machine Tree Statistics Markov models Hidden Markov model
28	Pattern Recognition Letters[removed]–1407 www.elsevier.com/locate/patrec A sequential pruning strategy for the selection of the number of states in hidden Markov models Manuele Bicego Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:46:39 Computational statistics Machine learning Bioinformatics Hidden Markov model Estimation theory Cluster analysis Speech recognition Expectation–maximization algorithm Pattern recognition Statistics Markov models Probability and statistics
29	Stick-Breaking Beta Processes and the Poisson Process 1 John Paisley1 David M. Blei3 Michael I. Jordan1,2 Department of EECS, 2 Department of Statistics, UC Berkeley Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Poisson process Gamma distribution Markov chain Dirichlet process Ordinal number Statistics Markov processes Stochastic processes
30	Contents Part I Preliminaries 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Add to Reading List Source URL: statistik.wu-wien.ac.at Language: English - Date: 2006-10-24 05:17:21 Randomness Markov chain Monte Carlo Probability distribution Monte Carlo method Markov chain Pseudo-random number sampling Normal distribution Statistics Probability and statistics Markov models

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