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Monte Carlo methods
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271	Bibliography on quasirandomness and quasi-Monte Carlo [Alon and Spencer[removed]Alon, Noga, and Joel H. Spencer[removed]The Probabilistic Method. Second edition. New York: Wiley-Interscience. [Andreev, Clementi and Rolim 19 Add to Reading List Source URL: bit-player.org Language: English - Date: 2015-02-08 06:37:36 Applied mathematics Numerical analysis Probabilistic complexity theory Quasi-Monte Carlo method Markov chain Monte Carlo Low-discrepancy sequence Randomized algorithm Stochastic Monte Carlo integration Mathematics Randomness Monte Carlo methods
272	Title of Course: Bayesian Biostatistics II (Jan – Apr[removed]A. Course Description This will be an introductory course on Bayesian statistics and methods, with a particular focus on Bayesian hierarchical models for cor Add to Reading List Source URL: med-fom-spph.sites.olt.ubc.ca Language: English - Date: 2014-09-05 12:03:37 Monte Carlo software Statistical theory Empirical Bayes method WinBUGS Bayesian inference Estimation theory Just another Gibbs sampler Bayesian inference in phylogeny Statistics Bayesian statistics Statistical inference
273	Supplement to ”Atmospheric inverse modeling with known physical bounds: an example from trace gas emissions” Scot M. Miller, Anna M. Michalak, and Patricia J. Levi This supplement describes in greater detail the mult Add to Reading List Source URL: www.geosci-model-dev.net Language: English - Date: 2014-12-04 04:35:21 Probability and statistics Gibbs sampling Metropolis–Hastings algorithm Realization Normal distribution Prior probability Multiple-try Metropolis Markov chain Monte Carlo Statistics Monte Carlo methods
274	Dual Strategy Active Learning Pinar Donmez1 , Jaime G. Carbonell1 , and Paul N. Bennett2 1 2 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-07-02 19:34:27 Gaussian function Active learning Computational statistics Monte Carlo methods Statistics Mathematics Machine learning Sampling Survey methodology
275	Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels Jiyan Yang1 ICME, Stanford University, Stanford, CAJIYAN @ STANFORD . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Numerical analysis Diophantine approximation Monte Carlo methods Low-discrepancy sequence Quasi-Monte Carlo method Halton sequence Quasi-Monte Carlo methods in finance Normal distribution Reproducing kernel Hilbert space Mathematical analysis Mathematics Randomness
276	An Improved Visible Normal Sampling Routine for the Beckmann Distribution Wenzel Jakob August 2, 2014 Recently, Heitz and D’Eonproposed a method for importance Add to Reading List Source URL: www.mitsuba-renderer.org Language: English - Date: 2014-08-02 10:11:58 Probability and statistics Gaussian function Error function Importance sampling Cumulative distribution function Random variate Markov chain Monte Carlo Mathematical analysis Monte Carlo methods Statistics
277	Approximate Counting and Markov Chain Monte Carlo A Randomized Approach Arindam Pal Department of Computer Science and Engineering Indian Institute of Technology Delhi Add to Reading List Source URL: www.cse.iitd.ernet.in Language: English - Date: 2011-04-08 01:08:14 Markov models Complexity classes Computational statistics Monte Carlo methods Approximation algorithms Markov chain Monte Carlo Markov chain Polynomial-time approximation scheme Random walk Statistics Theoretical computer science Computational complexity theory
278	Sampling Methods to Estimate Foliage and Other Characteristics of Individual Trees Author(s): Timothy G. Gregoire, Harry T. Valentine, George M. Furnival Source: Ecology, Vol. 76, No. 4, (Jun., 1995), ppPubli Add to Reading List Source URL: www.planta.cn Language: English - Date: 2008-06-26 04:47:03 Monte Carlo methods Data analysis Computational statistics Importance sampling Sampling Estimator Uniform distribution Variance Standard error Statistics Statistical inference Estimation theory
279	Hydrol. Earth Syst. Sci., 18, 3015–3031, 2014 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. Simulation of rainfall time series from different Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 03:56:44 Monte Carlo methods Bootstrapping Data analysis Resampling Simulation Causality Climate Statistics Statistical inference Computational statistics
280	Hydrol. Earth Syst. Sci., 15, 3237–3251, 2011 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. Hydrology and Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 02:58:30 Control theory Robot control Linear filters Bayesian statistics Particle filter Kalman filter Data assimilation Normal distribution Resampling Statistics Estimation theory Monte Carlo methods

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