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Monte Carlo methods
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#	Item
611	Monte Carlo Methods for Derivative Pricing of Stochastic Volatility Models Wes Devauld Apr 23, 2013 Add to Reading List Source URL: blog.devauld.ca Language: English - Date: 2013-04-23 01:06:28 Financial economics Mathematical sciences Options Stochastic volatility Fractional Brownian motion Geometric Brownian motion Brownian motion Volatility Long-range dependency Statistics Mathematical finance Stochastic processes
612	Stationary Phase Monte Carlo Methods Daniel Doro Ferrante∗ G. S. Guralnik, J. D. Doll and D. Sabo HET Physics Dept, Brown University, USA†. Add to Reading List Source URL: chep.het.brown.edu Language: English - Date: 2003-07-25 10:20:31 Quantum mechanics Normal distribution Differential equation Integral Ordinary differential equations Operator theory Gaussian function Differential entropy Heat equation Mathematical analysis Mathematics Physics
613	Comparison of Monte-Carlo and Einstein methods in the light-gas interactions. Jacques Moret-Bailly∗ (Dated: January 18, 2010) To study the propagation of light in nebulae, many astrophysicists use a Monte-Carlo computa Add to Reading List Source URL: jean.moretbailly.free.fr Language: English - Date: 2010-02-03 05:15:08 Optics Quantum optics Quantum mechanics Photon Electron Redshift Laser Coherence Maser Physics Quantum electrodynamics Acronyms
614	A procedural procedural level generator generator Manuel Kerssemakers, Jeppe Tuxen, Julian Togelius and Georgios N. Yannakakis Abstract—Procedural content generation (PCG) is concerned with automatically generating gam Add to Reading List Source URL: julian.togelius.com Language: English - Date: 2013-08-26 11:58:52 Monte Carlo methods Computer programming Procedural generation Random number generation Electronic test equipment Electric generator Generator Fisher–Yates shuffle Gameplay Randomness Mathematics Computing
615	%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: www.ingber.com Language: English - Date: 2002-01-14 20:39:05 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
616	Mathematical and Computer Modelling, [removed], [removed]GENETIC ALGORITHMS AND VERY FAST SIMULATED REANNEALING: A COMPARISON LESTER INGBER Lester Ingber Research, P.O. Box 857, McLean, VA 22101, U.S.A. [removed] Add to Reading List Source URL: www.ingber.com Language: English - Date: 2002-01-14 20:39:05 Monte Carlo methods Stochastic optimization Cybernetics Genetic algorithm Simulated annealing Adaptive simulated annealing Quantum annealing Numerical analysis Mathematical optimization Applied mathematics
617	BAYESIAN STATISTICS 7 Proceedings of the Seventh Valencia International Meeting Dedicated to Dennis V. Lindley June 2–6, 2002 Add to Reading List Source URL: www.uv.es Language: English - Date: 2004-11-05 07:32:55 Bayesian inference Bayes factor Markov chain Monte Carlo Hidden Markov model Expectation–maximization algorithm Generalized linear model Regression analysis Variational Bayesian methods Bayesian probability Statistics Bayesian statistics Bayesian network
618	ASA OPTIONS Lester Ingber Abstract Adaptive Simulated Annealing (ASA) is a C-language code that finds the best global fit of a nonlinear cost-function over a D-dimensional space. ASA has over 100 OPTIONS to provide robus Add to Reading List Source URL: www.ingber.com Language: English - Date: 2011-06-15 18:00:58 Adaptive simulated annealing Mathematical optimization Mathematics Simulated annealing Stochastic optimization Maxwell–Boltzmann distribution Metropolis–Hastings algorithm Partition function Annealing Monte Carlo methods Numerical analysis Mathematical analysis
619	A Tutorial on Particle Filtering and Smoothing: Fifteen years later Arnaud Doucet The Institute of Statistical Mathematics, 4-6-7 Minami-Azabu, Minato-ku, Tokyo[removed], Japan. Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2008-12-21 20:26:11 Markov models Applied mathematics Estimation theory Monte Carlo methods Linear filters Particle filter Hidden Markov model Kalman filter Importance sampling Statistics Probability and statistics Robot control
620	Home Page Title Page Contents Add to Reading List Source URL: web.warwick.ac.uk Language: English - Date: 2004-05-19 11:04:08 Monte Carlo methods Physics Computational statistics Markov processes Markov chain Monte Carlo Markov chain Theoretical computer science Coupling from the past Algorithm Statistics Probability and statistics Markov models

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