Springer Stochastic

Analytical and Stochastic Modeling Techniques and Applications  eBooks & eLearning

Posted by leonardo78 at Jan. 10, 2017
Analytical and Stochastic Modeling Techniques and Applications

Analytical and Stochastic Modeling Techniques and Applications by Khalid Al-Begain, Dieter Fiems, Gábor Horváth
Publisher: Springer | 2009 | ISBN: 3642022049 | 401 pages | PDF | 5,6 MB

This book constitutes the refereed proceedings of the 16th International Conference on Analytical and Stochastic Modeling Techniques and Applications, ASMTA 2009, held in Madrid, Spain, in June 2009 in conjunction with ECMS 2009, the 23nd European Conference on Modeling and Simulation.

Essentials of Stochastic Processes, Third Edition  eBooks & eLearning

Posted by Underaglassmoon at Nov. 9, 2016
Essentials of Stochastic Processes, Third Edition

Essentials of Stochastic Processes, Third Edition
Springer | Texts in Statistics | Dec 6, 2016 | ISBN-10: 331945613X | 275 pages | pdf | 2.46 mb

Authors: Durrett, Richard
A concise treatment and textbook on the most important topics in Stochastic Processes
All concepts illustrated by examples and more than 300 carefully chosen exercises for effective learning
New edition includes added and revised exercises, including many biological exercises, in addition to restructured and rewritten sections with a goal toward clarity and simplicity
Solutions Manual available for instructors

Stochastic Porous Media Equations  eBooks & eLearning

Posted by Underaglassmoon at Oct. 15, 2016
Stochastic Porous Media Equations

Stochastic Porous Media Equations
Springer | Mathematics | November 2016 | ISBN-10: 3319410687 | 202 pages | pdf | 2.17 mb

Authors: Barbu, Viorel, Da Prato, Giuseppe, Röckner, Michael
This is the first book on stochastic porous media equations
Concentrates on essential points, including existence, uniqueness, ergodicity and finite time extinction results
Presents the state of the art of the subject in a concise, but reasonably self-contained way
Includes both the slow and fast diffusion case, but also the critical case, modeling self-organized criticality
Nonparametric Statistics: 2nd ISNPS, Cádiz, June 2014 (Springer Proceedings in Mathematics & Statistics)

Nonparametric Statistics: 2nd ISNPS, Cádiz, June 2014 (Springer Proceedings in Mathematics & Statistics)
Ricardo Cao, Wenceslao González Manteiga | 2016 | PDF | ISBN: 3319415816 | 224 pages | 4 Mb
James Moore & Andie Springer - Gertrudes: Music for violin and resonator guitar (2015)

James Moore & Andie Springer - Gertrudes: Music for violin and resonator guitar (2015)
Classical | MP3 CBR 320 kbps | 00:53:33 | 123 MB
Label: New World Reocrds

Longtime friends and collaborators James Moore and Andie Springer began performing as a duo in 2011 while on tour with playwright Richard Maxwell's Neutral Hero. This anthology comprises compositions by their friends and colleagues, all written or adapted for the duo and their unconventional instrumentation of violin and steel-string resonator guitar.

Stochastic Analysis for Finance with Simulations  eBooks & eLearning

Posted by Underaglassmoon at July 20, 2016
Stochastic Analysis for Finance with Simulations

Stochastic Analysis for Finance with Simulations
Springer | Mathematics | August 14, 2016 | ISBN-10: 3319255878 | 657 pages | pdf | 11.96 mb

Authors: Choe, Geon Ho
Presents the mathematical methods required for pricing financial derivatives
Encourages hands-on experience and builds intuition by explaining theoretical concepts with computer simulations
Covers mathematical prerequisites, including measure theory, ordinary differential equations, and partial differential equations

Stochastic Analysis for Poisson Point Processes  eBooks & eLearning

Posted by AlenMiler at July 17, 2016
Stochastic Analysis for Poisson Point Processes

Stochastic Analysis for Poisson Point Processes: Malliavin Calculus, Wiener-Itô Chaos Expansions and Stochastic Geometry (Bocconi & Springer Series) by Giovanni Peccati
English | 24 July 2016 | ISBN: 3319052322 | 364 Pages | PDF (True) | 3.45 MB

Stochastic geometry is the branch of mathematics that studies geometric structures associated with random configurations, such as random graphs, tilings and mosaics.

Stochastic Models with Power-Law Tails  eBooks & eLearning

Posted by Underaglassmoon at July 10, 2016
Stochastic Models with Power-Law Tails

Stochastic Models with Power-Law Tails: The Equation X=AX+B
Springer | Mathematics | August 5, 2016 | ISBN-10: 3319296787 | 315 pages | pdf | 3.55 mb

Authors: Buraczewski, Dariusz, Damek, Ewa, Mikosch, Thomas
Covers fields which are not available in book form and are spread over the literature
Provides an accessible introduction to a complicated stochastic model
A readable overview of one of the most complicated topics on applied probability theory

Brownian Motion, Martingales, and Stochastic Calculus  eBooks & eLearning

Posted by Underaglassmoon at June 19, 2016
Brownian Motion, Martingales, and Stochastic Calculus

Brownian Motion, Martingales, and Stochastic Calculus
Springer | Graduate Texts in Mathematics | April 29 2016 | ISBN-10: 3319310887 | 273 pages | pdf | 2.32 mb

Authors: Le Gall, Jean-François
Provides a concise and rigorous presentation of stochastic integration and stochastic calculus for continuous semimartingales
Presents major applications of stochastic calculus to Brownian motion and related stochastic processes
Includes important aspects of Markov processes with applications to stochastic differential equations and to connections with partial differential equations

Filtering and Control of Stochastic Jump Hybrid Systems  eBooks & eLearning

Posted by Underaglassmoon at April 28, 2016
Filtering and Control of Stochastic Jump Hybrid Systems

Filtering and Control of Stochastic Jump Hybrid Systems
Springer | Control Engineering | May 22, 2016 | ISBN-10: 3319319140 | 212 pages | pdf | 5.1 mb

Authors: Yao, Xiuming, Wu, Ligang, Zheng, Wei Xing
Presents up-to-date research developments and novel methodologies on stochastic jump hybrid systems
Establishes a unified framework for filtering and control problems for stochastic jump hybrid systems with imperfect information
Presents recent advances in stochastic jump hybrid systems, and application potentials in complex networks