Mean Field Simulation For Monte Carlo

Mean Field Simulation for Monte Carlo Integration (repost)

Mean Field Simulation for Monte Carlo Integration by Pierre Del Moral
English | 2013 | ISBN: 1466504056 | 626 pages | PDF | 3,2 MB

Mean Field Simulation for Monte Carlo Integration  

Posted by interes at Oct. 23, 2013
Mean Field Simulation for Monte Carlo Integration

Mean Field Simulation for Monte Carlo Integration by Pierre Del Moral
English | 2013 | ISBN: 1466504056 | 626 pages | PDF | 3,2 MB

In the last three decades, there has been a dramatic increase in the use of interacting particle methods as a powerful tool in real-world applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally suited to parallel and distributed computation, these advanced particle algorithms include…
Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation (repost)

Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation
by Carl Graham and Denis Talay
English | 2013 | ISBN: 3642393624 | 264 pages | PDF | 2.07 MB

Udemy - R Programming for Simulation and Monte Carlo Methods [repost]  eBooks & eLearning

Posted by house23 at Nov. 10, 2016
Udemy - R Programming for Simulation and Monte Carlo Methods [repost]

Udemy - R Programming for Simulation and Monte Carlo Methods
MP4 | AVC 928kbps | English | 1280x720 | 30fps | 11h 42mins | AAC stereo 60kbps | 3.79 GB
Genre: Video Training

Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.
Udemy – R Programming for Simulation and Monte Carlo Methods

Udemy – R Programming for Simulation and Monte Carlo Methods
MP4 | Video: 1280x720 | 62 kbps | 44 KHz | Duration: 12 Hours | 3.79 GB
Genre: eLearning | Language: English

Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.

Rare Event Simulation Using Monte Carlo Methods  

Posted by arundhati at Dec. 6, 2014
Rare Event Simulation Using Monte Carlo Methods

Gerardo Rubino, Bruno Tuffin, "Rare Event Simulation Using Monte Carlo Methods"
2009 | ISBN-10: 0470772697 | 278 pages | PDF | 2 MB
Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation (repost)

Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation by Carl Graham and Denis Talay
English | ISBN: 3642393624 | 2013 | 264 pages | PDF | 2 MB

In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practitioners’ aim to simulate more and more complex systems, and thus use random parameters as well as random noises to model the parametric uncertainties and the lack of knowledge on the physics of these systems.
Simulation and Monte Carlo: With applications in finance and MCMC by J. S. Dagpunar

Simulation and Monte Carlo: With applications in finance and MCMC (Wiley Series in Probability and Statistics) by J. S. Dagpunar
Wiley | March 12, 2007 | English | ISBN: 0470854944 | 348 pages | PDF | 3 MB

Simulation and Monte Carlo is aimed at students studying for degrees in Mathematics, Statistics, Financial Mathematics, Operational Research, Computer Science, and allied subjects, who wish an up-to-date account of the theory and practice of Simulation. Its distinguishing features are in-depth accounts of the theory of Simulation, including the important topic of variance reduction techniques, together with illustrative applications in Financial Mathematics, Markov chain Monte Carlo, and Discrete Event Simulation.
Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation (repost)

Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation by Carl Graham and Denis Talay
English | ISBN: 3642393624 | 2013 | 264 pages | PDF | 2 MB

In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practitioners’ aim to simulate more and more complex systems, and thus use random parameters as well as random noises to model the parametric uncertainties and the lack of knowledge on the physics of these systems.
Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation [Repost]

Carl Graham, ‎Denis Talay - Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation
Published: 2013-07-29 | ISBN: 3642393624 | PDF | 264 pages | 3 MB