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Stochastic matrix
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41	Monte Carlo linear solvers with non-diagonal splitting Add to Reading List Source URL: www.cs.fsu.edu Language: English - Date: 2009-11-12 13:57:54 Numerical linear algebra Matrices Markov models Sparse matrices Markov chain Matrix Stochastic matrix Diagonal matrix Jacobi method Algebra Linear algebra Mathematics
42	RESPONSE TIME DENSITIES AND QUANTILES IN LARGE MARKOV AND SEMI-MARKOV MODELS JEREMY T. BRADLEY NICHOLAS J. DINGLE ULI HARDER Add to Reading List Source URL: pubs.doc.ic.ac.uk Language: English - Date: 2008-12-01 10:04:22 Markov chain Semi-Markov process Markov property Laplace transform Continuous-time Markov process Stochastic matrix Uniformization Stochastic process Finite-state machine Statistics Markov processes Markov models
43	TU Muenchen, Quantics-TT preconditioned and DMRG methods in high-dimensional quantum and stochastic computations Boris N. Khoromskij Max-Planck-Institute for Mathematics in the Sciences, Add to Reading List Source URL: www.exqm.de Language: English - Date: 2014-03-13 12:17:49 Numerical linear algebra Tensor Density matrix renormalization group Numerical analysis Partial differential equation Singular value decomposition Preconditioner Iterative method Algebra Mathematics Mathematical analysis
44	To Appear: Body Sensor Networks Workshop, Boston MA, AprilMulti-sensor Data Fusion Using the Influence Model Wen Dong and Alex Pentland E15-383, 20 Ames Street The MIT Media Laboratory Add to Reading List Source URL: vismod.media.mit.edu Language: English - Date: 2006-01-25 11:22:24 Markov processes Markov chain Hidden Markov model Expectation–maximization algorithm Stochastic process Matrix Mixture model Normal distribution Sensor Statistics Markov models Statistical models
45	Program Wednesday, July 23, 2008 Plenary session – Probability and Stochastic Processes – Chair: Simo Puntanen 8:55 – 9:00 Add to Reading List Source URL: www.sis.uta.fi Language: English - Date: 2011-05-10 03:10:44 Linear algebra Matrix theory Regression analysis Matrices Statistical methods Optimal design Matrix Covariance matrix Multivariate normal distribution Algebra Statistics Mathematics
46	Department of Mathematics, University of California San Diego ***************************** Probability Seminar Piotr Grazcyk Add to Reading List Source URL: www.math.ucsd.edu Language: English - Date: 2015-03-30 14:49:05** Mathematics Brownian motion Eigenvalues and eigenvectors Stochastic differential equation Bessel process Matrix Statistics Algebra Stochastic processes
47	Monte Carlo Filtering on Lie Groups Alessandro Chiuso 1 and Stefano Soatto 2 Abstract We propose a nonlinear lter for estimating the trajectory of a random walk on a matrix Lie group with constant computational complexi Add to Reading List Source URL: vision.ucla.edu Language: English - Date: 2007-12-16 20:03:10 Importance sampling Markov chain Monte Carlo Normal distribution Exponential map Stochastic process Monte Carlo integration Resampling Variance Expected value Statistics Monte Carlo methods Probability and statistics
48	TWO REMARKS ON BLACKWELL’S THEOREM EHUD LEHRER AND ERAN SHMAYA January 15, 2006 Abstract. In a decision problem with uncertainty a decision maker receives partial Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2006-01-16 10:12:56 Functional analysis Markov models Matrices Stochastic matrix Distribution Matrix Continuous function Itō diffusion Perron–Frobenius theorem Mathematical analysis Mathematics Algebra
49	Distributed Computation of Transient State Distributions and Passage Time Quantiles in Large Semi-Markov Models Jeremy T. Bradley, Nicholas J. Dingle, Peter G. Harrison, William J. Knottenbelt Department of Computing, Im Add to Reading List Source URL: pubs.doc.ic.ac.uk Language: English - Date: 2007-02-18 10:58:57 Markov models Probability and statistics Markov chain Laplace transform Phase-type distribution Uniformization Semi-Markov process Stochastic matrix Laplace–Stieltjes transform Statistics Mathematical analysis Markov processes
50	NATIONAL MATHEMATICS INITIATIVE (NMI) 9th Thematic Programme (August 2012 – PROBABILITY: THEORY AND APPLICATIONS Add to Reading List Source URL: math.iisc.ernet.in Language: English - Date: 2013-01-07 23:14:00 Randomness Random matrix Random graph Asymptotic analysis Point process Bangalore Gaussian random field Statistics Stochastic processes Markov chain

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