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Stochastic matrix
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11	Computational Stochastic Modelling for Large-scale Systems: Methods and Applications Rashid Mehmood School of Engineering Swansea University Add to Reading List Source URL: www.cs.stir.ac.uk Language: English - Date: 2010-06-17 07:40:28 Statistics Probability theory Probability Operations research Statistical randomness Stochastic simulation Graph theory Markov models Markov chain Scientific modelling Stochastic Matrix
12	Diameter of random spanning trees in a given graph Fan Chung ∗ Add to Reading List Source URL: web.cs.du.edu Language: English - Date: 2010-11-16 10:22:29 Stochastic processes Spanning tree Algebraic graph theory Loop-erased random walk Graph coloring Random walk Random graph Laplacian matrix Regular graph Tree Two-graph
13	Factored Filtering of Continuous-Time Systems E. Busra Celikkaya Christian R. Shelton University of California, Riverside University of California, Riverside Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-06-23 16:38:35 Markov models Markov processes KullbackLeibler divergence Statistical theory Thermodynamics Probability distributions Uniformization Expectationmaximization algorithm Markov chain Bayesian network Stochastic matrix
14	FROM RANDOM MATRICES TO STOCHASTIC OPERATORS ALAN EDELMAN AND BRIAN D. SUTTON Abstract. We propose that classical random matrix models are properly viewed as finite difference schemes for stochastic differential operator Add to Reading List Source URL: faculty.rmc.edu Language: English - Date: 2007-08-01 16:12:27 Mathematical physics Matrices Random matrices Singular value decomposition Linear algebra Random matrix Matrix Alan Edelman Eigenvalues and eigenvectors Hermitian matrix Symmetric matrix Singular value
15	UNIVERSITY OF CALIFORNIA RIVERSIDE Multivariate Continuous-Time Models: Approximate Inference Algorithms and Medical Informatics Applications Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2016-03-21 12:22:45 Stochastic processes Graphical models Markov processes Bayesian network Networks Uniformization Probability distribution Algorithm Statistical inference Approximate inference Statistics Matrix
16	Spectral Graph Theory Lecture 9 PSRGs via Random Walks on Graphs Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2012-08-24 09:50:05 Stochastic processes Random walk Expander graph Randomized algorithm Algebraic graph theory Graph theory Loop-erased random walk Laplacian matrix
17	CS168: The Modern Algorithmic Toolbox Lecture #14: Markov Chain Monte Carlo Tim Roughgarden & Gregory Valiant∗ May 11, 2016 The previous lecture covered several tools for inferring properties of the distribution that u Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:43 Markov models Markov processes Stochastic processes Monte Carlo methods Statistical mechanics Markov chain Stochastic matrix Markov property Random walk Continuous-time Markov chain Bayesian inference in phylogeny
18	Revisiting natural gradient for deep networks Yoshua Bengio Universit´e de Montr´eal Montr´eal QC H3C 3J7 Canada Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-18 01:51:44 Estimation theory Numerical linear algebra M-estimators Stochastic optimization Least squares Conjugate gradient method Nonlinear conjugate gradient method Gradient descent Gradient method Hessian matrix Fisher information BroydenFletcherGoldfarbShanno algorithm
19	Spectral Graph Theory Lecture 21 Spectral Partitiong in a Stochastic Block Model Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2015-12-08 15:18:03 Matrix theory Linear algebra Numerical linear algebra Matrices Singular value decomposition Eigenvalues and eigenvectors Graph partition Matrix Symmetric matrix Eigendecomposition of a matrix PerronFrobenius theorem