Continuous stochastic process

Results: 97



#Item
18 Brownian motion and Itô calculus Brownian motion is a continuous analogue of simple random walks (as described in the previous part), which is very important in many practical applications. This importance has its ori

8 Brownian motion and Itô calculus Brownian motion is a continuous analogue of simple random walks (as described in the previous part), which is very important in many practical applications. This importance has its ori

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Source URL: www.cmap.polytechnique.fr

Language: English - Date: 2012-10-05 03:43:56
2Introduction  Continuous State Space Models Case Study in Web Services

Introduction Continuous State Space Models Case Study in Web Services

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Source URL: homepages.inf.ed.ac.uk

Language: English - Date: 2005-09-27 05:37:25
3A General Framework for Pricing Asian Options Under Markov Processes

A General Framework for Pricing Asian Options Under Markov Processes

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Source URL: www.rmi.nus.edu.sg

Language: English - Date: 2015-07-02 21:04:44
4Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning Matthias Br¨ocheler, Lise Getoor University of Maryland, College Park College Park, MD 20742

Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning Matthias Br¨ocheler, Lise Getoor University of Maryland, College Park College Park, MD 20742

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Source URL: psl.umiacs.umd.edu

Language: English - Date: 2013-06-14 19:26:49
5The Dynamics of Distributions in Continuous-Time Stochastic Models (a) Christian Bayer(a) and Klaus Wälde(b) WeierstraßInstitute Berlin and (b) Johannes-Gutenberg University Mainz1

The Dynamics of Distributions in Continuous-Time Stochastic Models (a) Christian Bayer(a) and Klaus Wälde(b) WeierstraßInstitute Berlin and (b) Johannes-Gutenberg University Mainz1

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Source URL: www.waelde.com

Language: English - Date: 2015-11-27 06:04:16
6Markov chain Monte Carlo for continuous-time discrete-state systems Vinayak A. P. Rao Gatsby Computational Neuroscience Unit

Markov chain Monte Carlo for continuous-time discrete-state systems Vinayak A. P. Rao Gatsby Computational Neuroscience Unit

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Source URL: www.stat.purdue.edu

Language: English - Date: 2014-08-30 13:43:20
7On the Second-Order Random Walk Model for Irregular Locations

On the Second-Order Random Walk Model for Irregular Locations

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Source URL: www.math.ntnu.no

Language: English - Date: 2008-07-16 16:09:35
8LINEAR ALGEBRA and ITS APPLICATIONS, pp. 1–20  Reversed processes, product forms and a non-product form ∗  Peter G. Harrison

LINEAR ALGEBRA and ITS APPLICATIONS, pp. 1–20 Reversed processes, product forms and a non-product form ∗ Peter G. Harrison

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Source URL: pubs.doc.ic.ac.uk

Language: English - Date: 2007-02-25 16:10:57
9RESPONSE TIME DENSITIES AND QUANTILES IN LARGE MARKOV AND SEMI-MARKOV MODELS JEREMY T. BRADLEY NICHOLAS J. DINGLE ULI HARDER

RESPONSE TIME DENSITIES AND QUANTILES IN LARGE MARKOV AND SEMI-MARKOV MODELS JEREMY T. BRADLEY NICHOLAS J. DINGLE ULI HARDER

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Source URL: pubs.doc.ic.ac.uk

Language: English - Date: 2008-12-01 10:04:22
10Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs Haoyu Bai∗ David Hsu∗

Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs Haoyu Bai∗ David Hsu∗

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2011-05-30 06:03:31