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Markov chain
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#	Item
141	Economic Dynamical Systems with Multiplicative Noise John Stachurski Department of Economics, The University of Melbourne, VIC 3010, Australia Abstract Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-19 06:01:52 Symbol Markov chain Lyapunov function Mixing Linear temporal logic Central limit theorem
142	On Probabilistic Fixpoint and Markov Chain Query Languages Daniel Deutch Tel Aviv University Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2010-09-20 08:01:19 Database theory Relational model Database management systems Query languages Graphical models Relational algebra Datalog Bayesian network Probabilistic database Relational database BPP Randomized algorithm
143	JMLR: Workshop and Conference Proceedings vol 40:1–40, 2015 28th Annual Conference on Learning Theory Improved Sum-of-Squares Lower Bounds for Hidden Clique and Hidden Submatrix Problems Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Probability distributions Clique problem Expected value Planted clique Matrix Markov chain Normal distribution
144	Journal of Computer and System Sciences – 363 www.elsevier.com/locate/jcss Designing seeds for similarity search in genomic DNA Jeremy Buhlera,∗ , Uri Keichb , Yanni Suna a Department of Computer Scienc Add to Reading List Source URL: www.maths.usyd.edu.au Language: English - Date: 2005-12-15 13:57:59 Computational phylogenetics Bioinformatics Markov models Sequence alignment BLAST Markov chain Finite-state machine String searching algorithm Dynamic programming Multiple sequence alignment
145	Improved glottal inverse filtering by Markov chain Monte Carlo methods Samuli Siltanen Professor of Industrial Mathematics Department of Mathematics and Statistics Add to Reading List Source URL: www.siltanen-research.net Language: English - Date: 2012-11-02 03:59:54 Computational linguistics Markov models Speech synthesis Inverse filter Computational statistics Monte Carlo methods MCMC Markov chain Monte Carlo Markov chain Inverse Speech recognition
146	UNIVERSITY OF CALIFORNIA RIVERSIDE Continuous Time Bayesian Network Approximate Inference and Social Network Applications Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:15 Monte Carlo methods Stochastic simulation Computational statistics Markov models Markov chain Monte Carlo Bayesian network Gibbs sampling Particle filter Approximate inference Expectationmaximization algorithm Statistics Importance sampling
147	10742_2009_52_Article 1..17 Add to Reading List Source URL: www.glicko.net Language: English - Date: 2009-12-24 15:06:36 Psychometrics Statistical models Bayesian statistics Differential item functioning Educational research Psychological testing Item response theory Bayesian network Bayesian inference Prior probability Markov chain Monte Carlo Logistic regression
148	Assessing Data Mining Results via Swap Randomization Aristides Gionis Heikki Mannila Taneli Mielikainen Add to Reading List Source URL: www.cs.uoi.gr Language: English - Date: 2006-06-19 10:07:06 Graph theory Data management Data mining Monte Carlo methods Markov chain Association rule learning K-means clustering Graph Resampling Synthetic data
149	A Tractable Framework for Analyzing a Class of Nonstationary Markov Models Lilia Maliar, Serguei Maliar, John B. Taylor and Inna Tsener Frankfurt, April 6, 2016 Add to Reading List Source URL: www.imfs-frankfurt.de Language: English - Date: 2016-04-13 04:09:06 Control theory Markov models Mathematical optimization Markov processes Equations Markov chain State-space representation Bellman equation
150	2013 IEEE International Conference on Computer Vision Slice Sampling Particle Belief Propagation Oliver Müller, Michael Ying Yang, and Bodo Rosenhahn Institute for Information Processing (TNT), Leibniz University Hanno Add to Reading List Source URL: www.tnt.uni-hannover.de Language: English - Date: 2016-08-02 06:36:10 Monte Carlo methods Markov chain Monte Carlo Non-uniform random numbers Probability distributions Computational statistics MetropolisHastings algorithm Rejection sampling Gibbs sampling Normal distribution Slice sampling Uniform distribution

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