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Monte Carlo methods
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#	Item
21	PARTICLE FILTERS FOR EFFICIENT METER TRACKING WITH DYNAMIC BAYESIAN NETWORKS Ajay Srinivasamurthy∗ Andre Holzapfel† Add to Reading List Source URL: www.rhythmos.org Language: English - Date: 2015-07-18 05:41:54 Statistics Probability Monte Carlo methods Computational statistics Estimation theory Markov models Robot control Particle filter Auxiliary particle filter Hidden Markov model Normal distribution Resampling
22	Network Analysis and Modeling, CSCI 5352 LectureProf. Aaron Clauset Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2013-11-23 11:09:20 Statistics Statistical theory Monte Carlo methods Markov chain Monte Carlo Markov models Stochastic simulation Estimation theory MetropolisHastings algorithm Gibbs sampling Markov chain Maximum likelihood estimation Importance sampling
23	2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) INDEPENDENT DOUBLY ADAPTIVE REJECTION METROPOLIS SAMPLING Luca Martino? , Jesse Read† , David Luengo‡ ? Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-08-22 09:13:11 Statistics Monte Carlo methods Computational statistics Markov chain Monte Carlo Statistical theory Non-uniform random numbers Rejection sampling MetropolisHastings algorithm Stochastic simulation Gibbs sampling
24	Signal Processing–134 Contents lists available at ScienceDirect Signal Processing journal homepage: www.elsevier.com/locate/sigpro Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-01-07 03:42:50 Statistics Monte Carlo methods Computational statistics Estimation theory Robot control Control theory Kalman filter Particle filter Resampling Bootstrapping Filtering problem
25	Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Marko v Chain Monte Carlo Song-Chun Zhu, Rong Zhang, Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2002-05-23 04:31:38 Statistics Monte Carlo methods Probability theory Probability Markov models Computational statistics Statistical mechanics Markov chain Monte Carlo Markov chain MetropolisHastings algorithm Bayesian network Brownian motion
26	SEGMENTED RESULTS AND HIGHLIGHTS Business Aircraft Results of the quarter Three-month periods ended June 30 Revenues Aircraft deliveries (in units) Add to Reading List Source URL: www.bombardier.com Language: English - Date: 2016-08-17 14:28:54 Economy Finance Profit Money Fundamental analysis Financial risk Mathematical finance Monte Carlo methods in finance Earnings before interest taxes depreciation and amortization Non-negative matrix factorization Earnings before interest taxes and depreciation Margin at risk
27	Slice sampling C. Planas, and A. Rossi Joint Research Centre of European Commission MACFINROBODS WorkshopJanuary 2015, London Add to Reading List Source URL: www.macfinrobods.eu Language: English - Date: 2015-02-13 10:28:08 Statistics Statistical theory Markov chain Monte Carlo Bayesian statistics Estimation theory Monte Carlo methods Computational statistics Slice sampling Gibbs sampling Likelihood function MetropolisHastings algorithm
28	User’s Guide and Developer’s Manual Preview July 27, 2016 Online: https://svn.qmcpack.org/svn/trunk/manual/qmcpack_manual.pdf Contents 1 Introduction Add to Reading List Source URL: svn.qmcpack.org Language: English - Date: 2016-07-27 17:01:04 Chemistry Quantum chemistry Computational chemistry Theoretical chemistry Computational physics Quantum Monte Carlo Variational Monte Carlo Ab initio quantum chemistry methods David Ceperley Monte Carlo method Jellium GAMESS
29	RESULTS OF THE QUARTER Three-month periods ended June 30 Revenues EBIT EBIT margin EBIT before special items(1) Add to Reading List Source URL: www.bombardier.com Language: English - Date: 2016-08-18 01:29:39 Profit Economy Finance Money Fundamental analysis Mathematical finance Financial risk Monte Carlo methods in finance Earnings before interest taxes depreciation and amortization Net income Margin at risk Liquidity at risk
30	A very brief introduction to simulating the Ising model using an MCMC method Radoslav Harman December 30, Add to Reading List Source URL: www.iam.fmph.uniba.sk Language: English - Date: 2015-12-30 13:20:40 Statistics Functional languages Markov chain Monte Carlo Monte Carlo methods Theoretical physics Ising model Applied mathematics Markov chain MetropolisHastings algorithm Q I1

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