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Markov chain Monte Carlo
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191	00-Geweke-Prelims-drv.dvi Add to Reading List Source URL: fdslive.oup.com Language: English - Date: 2013-09-30 10:15:19 Statistical theory Statistical models Statistical inference Bayesian econometrics Dynamic stochastic general equilibrium Bayesian inference Non-parametric statistics Econometric model Markov chain Monte Carlo Statistics Econometrics Bayesian statistics
192	INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING Int. J. Numer. Meth. Engng[removed]Published online in Wiley Online Library (wileyonlinelibrary.com). DOI: [removed]nme.4748 Data-driven model reduction for the Ba Add to Reading List Source URL: web.mit.edu Language: English - Date: 2014-10-06 09:25:06 Markov models Computational statistics Bayesian statistics Markov chain Monte Carlo Bayesian inference Estimation theory Markov chain Metropolis–Hastings algorithm Monte Carlo integration Statistics Monte Carlo methods Statistical inference
193	C ONTRIBUTED R ESEARCH A RTICLES 41 Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2010-12-30 17:20:09 Markov models Autoregressive conditional heteroskedasticity Econometrics Time series analysis Computational statistics Gamma distribution Prior probability Markov chain Monte Carlo Estimation theory Statistics Probability and statistics Bayesian statistics
194	%A L. Ingber %T Adaptive simulated annealing (ASA): Lessons learned %J Control and Cybernetics %D 1995 %P (to be published) This is an invited paper to a special issue of the Polish Journal Control and Cybernetics on “ Add to Reading List Source URL: aiinfinance.com Language: English - Date: 2012-06-26 15:07:23 Numerical analysis Mathematical analysis Mathematics Simulated annealing Markov chain Monte Carlo Maxwell–Boltzmann distribution Metropolis–Hastings algorithm Partition function Quantum annealing Monte Carlo methods Adaptive simulated annealing Mathematical optimization
195	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Inverse of magnetic dipole field using a reversible jump Markov chain Monte Carlo X. Luo a , Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:00:01 Magnetostatics Markov models Physical quantities Dipole Magnetic field Markov chain Magnetic dipole Magnet Vector field Physics Electromagnetism Magnetism
196	Department of Systems Engineering and Engineering Management & Department of Management Sciences Seminar Series Augmented Markov Chain Monte Carlo Simulation for Add to Reading List Source URL: www.cityu.edu.hk Language: English - Date: 2015-02-26 21:57:57 Bayesian statistics Statistical theory Computational statistics Monte Carlo methods Nicholas Polson Markov chain Monte Carlo Markov chain Bayesian inference Stochastic Statistics Probability and statistics Markov models
197	SFB[removed]Xianhua Dai* Wolfgang Karl Härdle Keming Yu* Add to Reading List Source URL: sfb649.wiwi.hu-berlin.de Language: English - Date: 2014-03-14 11:02:22 Parametric statistics Estimation theory Linear regression Quantile regression Quantile Normal distribution Exponential distribution Markov chain Monte Carlo Statistics Regression analysis Econometrics
198	Literatur zu Bayesscher Statistik und Entscheidungstheorie Add to Reading List Source URL: www.eawag.ch Language: English - Date: 2015-02-05 07:29:39 Philosophy of science Statistical inference Bayesian probability Bayesian inference Sensitivity analysis Markov chain Monte Carlo Hydrology Swat-CUP Bayes factor Statistics Bayesian statistics Statistical theory
199	Adjoint-Accelerated Statistical and Deterministic Inversion of Atmospheric Contaminant Transport Devina Sanjaya, Krzysztof Fidkowski∗ Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI[removed]Ia Add to Reading List Source URL: www-personal.umich.edu Language: English - Date: 2014-02-24 16:16:59 Computational statistics Linear algebra Probability and statistics Estimation theory Tikhonov regularization State space Markov chain Monte Carlo Inverse Markov chain Markov models Statistics Mathematics
200	Markov Chain Monte Carlo With Mixtures of Mutually Singular Distributions Raphael G OTTARDO and Adrian E. R AFTERY Markov chain Monte Carlo (MCMC) methods for Bayesian computation are mostly used when the dominating meas Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-06-07 16:59:42 Markov models Markov chain Monte Carlo Probability distributions Measure theory Metropolis–Hastings algorithm Markov chain Gibbs sampling Mixture distribution Singular distribution Mathematical analysis Statistics Monte Carlo methods

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