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Random walk
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#	Item
261 $Dimension theory / Statistical mechanics / Statistical models / Multifractal system / Singularity spectrum / Brownian motion / Random walk / Power law / Langevin equation / Statistics / Fractals / Stochastic processes$	Journal of NeuroEngineering and Rehabilitation BioMed Central Open Access Add to Reading List Source URL: www.jneuroengrehab.com Language: English Dimension theory Statistical mechanics Statistical models Multifractal system Singularity spectrum Brownian motion Random walk Power law Langevin equation Statistics Fractals Stochastic processes
262	PHYSICAL REVIEW E 88, Characterizing graph symmetries through quantum Jensen-Shannon divergence Luca Rossi,1 Andrea Torsello,1 Edwin R. Hancock,2 and Richard C. Wilson2 1 Add to Reading List Source URL: www.cs.bham.ac.uk Language: English - Date: 2015-03-30 09:12:42 Algebraic graph theory Stochastic processes Continuous-time quantum walk Adjacency matrix Random graph Random walk Connectivity Tree Neighbourhood Graph theory Mathematics Quantum mechanics
263	CHAPTER ONE. Introduction. My Ph.D. thesis is concerned with convergence properties of certain Markov chains. Specifically, I have studied various random walks on finite and compact Lie groups (Chapters 2 and 3), and ha Add to Reading List Source URL: probability.ca Language: English - Date: 2006-10-04 21:23:47 Markov processes Markov chain Random walk Gibbs sampling Stationary distribution Markov chain Monte Carlo Stationary process Statistics Stochastic processes Markov models
264	Random Walks on Discrete and Continuous Circles by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN, U.S.A Add to Reading List Source URL: probability.ca Language: English - Date: 2006-10-04 20:52:17 Joseph Fourier Stochastic processes Fourier series Random walk Unitary operators Digital signal processing Fourier transform Dirac delta function Mathematical analysis Statistics Fourier analysis
265	CHAPTER SIX. Concluding Comments. In this thesis, we have considered various Markov chains, and in particular their rates of convergence. Many of the results presented suggest possible generalizations and directions for Add to Reading List Source URL: probability.ca Language: English - Date: 2006-10-04 21:23:36 Markov processes Stochastic processes Markov chain Random walk Gibbs sampling Shuffling Markov chain Monte Carlo Statistics Probability and statistics Markov models
266	Multiplicative approximations of random walk transition probabilities Michael Kapralov∗ Rina Panigrahy† June 17, 2011 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-12-09 10:13:50 Analysis of algorithms Probabilistic complexity theory Randomized algorithm Connectivity Random walk NP-complete problems Algebraic graph theory Centrality Tutte polynomial Theoretical computer science Computational complexity theory Mathematics
267	Stochastic technical analysis for decision making on the financial market by Markus Höchstötter and Mher Safarian No. 62 \| OCTOBER 2014 Add to Reading List Source URL: econpapers.wiwi.kit.edu Language: English - Date: 2014-10-07 05:10:32 Control chart Random walk Time series analysis Statistics Change detection CUSUM
268	Note: a conjectured compactification of some finite reversible MCs There are two established theories which concern different aspects of the behavior of finite state Markov chains as the size of the state space increases Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2012-09-05 17:28:51 Markov models Stochastic processes Probability theory Markov chain Statistical models Detailed balance Random walk Continuous-time Markov process Independent and identically distributed random variables Statistics Markov processes Probability and statistics
269	Index BERNOULLI, J., 112, 149, 310–312 Bertrand’s paradox, 47–50 BERTRAND, J., 49, 181 BertrandsParadox (program), 49 beta density, 168 Add to Reading List Source URL: www.dartmouth.edu Language: English - Date: 2003-11-11 09:11:44 Statistical theory Estimation theory Statistical models Markov chain Central limit theorem Normal distribution Random walk Maximum likelihood Stochastic process Statistics Markov models Probability theory
270	Bookmarks Set for Section & Figure Views Features of Derivative Continuity in Shape PHILIP F. HENSHAW 167 W 87th St New York NY 10024 Add to Reading List Source URL: www.synapse9.com Language: English - Date: 2013-09-09 18:17:12 Time series analysis Signal processing Computer vision Normal distribution Random walk Smoothing Scale space Derivative Variance Statistics Data analysis Image processing

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