Monte Carlo R

Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics

Paolo Brandimarte, "Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics"
English | ISBN: 0470531118 | 2014 | EPUB | 688 pages | 15,7 MB
Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics (repost)

Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics by Paolo Brandimarte
English | 2014 | ISBN: 0470531118 | ISBN-13: 9780470531112 | 688 pages | PDF | 29,3 MB
Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics

Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics by Paolo Brandimarte
English | 2014 | ISBN: 0470531118 | ISBN-13: 9780470531112 | 688 pages | PDF | 29,3 MB

An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics.
Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics.

Marcus Miller - A Night In Monte-Carlo (2010) {Dreyfus}  Music

Posted by tiburon at April 26, 2018
Marcus Miller - A Night In Monte-Carlo (2010) {Dreyfus}

Marcus Miller - A Night In Monte-Carlo (2010) {Dreyfus}
EAC 0.99pb4 | FLAC tracks level 8 | Cue+Log+M3U | Full Scans 600dpi | 472MB + 5% Recovery
MP3 CBR 320 Kbps | 145MB + 5% Recovery
Genre: Jazz-Funk, Fusion

Had Marcus Miller chosen a more fusion-centric path, it's quite possible that he would have become as iconic among fusion heads as Jaco Pastorius or Miroslav Vitous. Miller certainly knows his way around his electric bass, and he probably would have been a great addition to Return to Forever if Stanley Clarke had been unavailable for their 2008 reunion tour and Chick Corea had offered him the gig. But that is speculation, of course. What we can say with certainty is that being hell-bent for fusion is not the path chosen by the highly eclectic, broad-minded Miller, who is as well known for his work with Luther Vandross and for co-writing E.U.'s 1988 funk/go-go hit "Da Butt" as he is for the composing, producing, and playing he did on Miles Davis' Tutu and Amandla albums in the ‘80s.
Orchestre Philharmonique de Monte-Carlo & Kazuki Yamada - Premières symphonies: Bizet, Gounod & Saint-Saëns (2025)

Orchestre Philharmonique de Monte-Carlo & Kazuki Yamada - Premières symphonies: Bizet, Gounod & Saint-Saëns (2025)
WEB FLAC (tracks) - 422 Mb | MP3 CBR 320 kbps - 208 Mb | Digital booklet | 01:29:23
Classical | Label: Alpha Classics

Camille Saint-Saëns was only fifteen years old when he composed his first symphony in 1850, which is known as his Symphony No. 0 — his official Symphony No. 1 would not arrive for another three years. Gounod was thirty-seven years old when his La nonne sanglante was removed from the repertoire of the Paris Opera by a new director; he swiftly restored his spirits by composing a symphony for the Société des Jeunes Artistes in March 1855. Bizet, aged seventeen, began work on his Symphony in C major that same year. Gounod’s symphony clearly influenced Bizet’s work, as Bizet had just completed a transcription of it for piano four hands. This recording marks the beginning of a collaboration between the Alpha Classics label, the Orchestre Philharmonique de Monte-Carlo and its music director Kazuki Yamada, a great lover of the French symphonic repertoire and also music director of the Birmingham Symphony Orchestra and principal guest conductor of the Yomiuri Nippon Symphony Orchestra and the Seiji Ozawa International Academy.

Advances in Quantum Monte Carlo  eBooks & eLearning

Posted by insetes at Jan. 14, 2019
Advances in Quantum Monte Carlo

Advances in Quantum Monte Carlo By James B. Anderson and Stuart M. Rothstein (Eds.)
2007 | 192 Pages | ISBN: 0841274169 | PDF | 14 MB

Monte Carlo Simulation and Resampling Methods for Social Science  eBooks & eLearning

Posted by DZ123 at Oct. 7, 2020
Monte Carlo Simulation and Resampling Methods for Social Science

Thomas M. Carsey, Jeffrey J. Harden, "Monte Carlo Simulation and Resampling Methods for Social Science"
English | 2013 | ISBN: 1452288909 | PDF | pages: 406 | 11.7 mb

Christian Robert, Georges Casella, "Méthodes de Monte-Carlo avec R" (repost)  eBooks & eLearning

Posted by TimMa at April 10, 2014
Christian Robert, Georges Casella, "Méthodes de Monte-Carlo avec R" (repost)

Christian Robert, Georges Casella, "Méthodes de Monte-Carlo avec R"
Publisher: Springer | 2011 | ISBN: 2817801806 | French | PDF | 272 pages | 9.1 Mb

Les techniques informatiques de simulation sont essentielles au statisticien. Afin que celui-ci puisse les utiliser en vue de résoudre des problèmes statistiques, il lui faut au préalable développer son intuition et sa capacité à produire lui-même des modèles de simulation. Ce livre adopte donc le point de vue du programmeur pour exposer ces outils fondamentaux de simulation stochastique. …

Méthodes de Monte-Carlo avec R (repost)  eBooks & eLearning

Posted by arundhati at May 18, 2016
Méthodes de Monte-Carlo avec R (repost)

Christian Robert, Georges Casella, "Méthodes de Monte-Carlo avec R"
2011 | French | ISBN: 2817801806 | 272 pages | PDF | 9 MB

Monte Carlo Statistical Methods  eBooks & eLearning

Posted by AvaxGenius at Feb. 27, 2024
Monte Carlo Statistical Methods

Monte Carlo Statistical Methods by Christian P. Robert , George Casella
English | PDF | 2004 | 667 Pages | ISBN : 0387212396 | 57 MB

Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulation techniques, with incorporation of the most recent developments in the field. In particular, the introductory coverage of random variable generation has been totally revised, with many concepts being unified through a fundamental theorem of simulation.