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Monte Carlo methods
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41	HAIO3Q16-RN (Kenanga) Add to Reading List Source URL: www.hai-o.com.my Language: English - Date: 2016-03-21 23:33:46 Financial ratios Generally Accepted Accounting Principles Fundamental analysis Profit Monte Carlo methods in finance Kenanga Net profit Earnings before interest taxes depreciation and amortization EV/EBITDA Malaysia Airlines Earnings before interest and taxes Liquidity at risk
42	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: 2016-08-17 14:28:45 Generally Accepted Accounting Principles 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 Free cash flow Earnings before interest taxes and depreciation Financial ratio
43	Journal of Machine Learning Research2140 Submitted 3/09; Revised 6/10; Published 8/10 Importance Sampling for Continuous Time Bayesian Networks Yu Fan Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:14 Markov models Probability distributions Graphical models Monte Carlo methods Stochastic simulation Bayesian network Markov chain Importance sampling Gibbs sampling Exponential distribution Cumulative distribution function Variance
44	Lab Exercise: The rejection method of generating samples GEOS 627: Inverse Problems and Parameter Estimation, Carl Tape Last compiled: February 5, 2015 Overview • The purpose of this exercise is to understand one parti Add to Reading List Source URL: www.giseis.alaska.edu Language: English - Date: 2015-02-05 15:25:16 Monte Carlo methods Non-uniform random numbers Linear algebra MATLAB Mathematical software Rejection sampling Limit of a function
45	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
46	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
47	On the decomposition of risk in life insurance Tom Fischer∗ Darmstadt University of Technology May 10, 2004 Abstract Add to Reading List Source URL: www.statistik-mathematik.uni-wuerzburg.de Language: English - Date: 2016-01-19 06:59:20 Mathematical finance Actuarial science Monte Carlo methods in finance Biometrics Identification Surveillance Risk Value at risk
48	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
49	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
50	Condensation \| conditional density propagation for visual tracking Michael Isard and Andrew Blake, Department of Engineering Science, University of Oxford, Add to Reading List Source URL: cvg.ethz.ch Language: English - Date: 2015-11-17 06:53:17 Computer vision Condensation algorithm Probability distribution Pi Monte Carlo methods Robot control