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Stochastic Models, Statistics and Their Applications: Dresden, Germany, March 2019 (Repost)

Posted By: AvaxGenius
Stochastic Models, Statistics and Their Applications: Dresden, Germany, March 2019 (Repost)

Stochastic Models, Statistics and Their Applications: Dresden, Germany, March 2019 by Ansgar Steland
English | EPUB | 2019 | 450 Pages | ISBN : 3030286649 | 33.1 MB

This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations.

Quantitative Evaluation of Systems

Posted By: AvaxGenius
Quantitative Evaluation of Systems

Quantitative Evaluation of Systems: 18th International Conference, QEST 2021, Paris, France, August 23–27, 2021, Proceedings by Alessandro Abate
English | PDF | 2021 | 469 Pages | ISBN : 3030851710 | 24.4 MB

This book constitutes the proceedings of the 18th International Conference on Quantitative Evaluation Systems, QEST 2021, held in Paris, France, in August 2021.

Stochastic Chemical Reaction Systems in Biology

Posted By: AvaxGenius
Stochastic Chemical Reaction Systems in Biology

Stochastic Chemical Reaction Systems in Biology by Hong Qian
English | PDF | 2021 | 364 Pages | ISBN : 3030862518 | 17.8 MB

This book provides an introduction to the analysis of stochastic dynamic models in biology and medicine. The main aim is to offer a coherent set of probabilistic techniques and mathematical tools which can be used for the simulation and analysis of various biological phenomena.

Evolutionary Computation in Combinatorial Optimization

Posted By: AvaxGenius
Evolutionary Computation in Combinatorial Optimization

Evolutionary Computation in Combinatorial Optimization: 21st European Conference, EvoCOP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings by Christine Zarges
English | EPUB | 2021 | 249 Pages | ISBN : 3030729036 | 23.5 MB

This book constitutes the refereed proceedings of the 21st European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events: EvoMUSART, EvoApplications, and EuroGP.

Evolutionary Computation in Combinatorial Optimization

Posted By: AvaxGenius
Evolutionary Computation in Combinatorial Optimization

Evolutionary Computation in Combinatorial Optimization: 21st European Conference, EvoCOP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings by Christine Zarges
English | PDF | 2021 | 249 Pages | ISBN : 3030729036 | 21.2 MB

This book constitutes the refereed proceedings of the 21st European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events: EvoMUSART, EvoApplications, and EuroGP.

Introduction to Modeling and Analysis of Stochastic Systems, Second Edition

Posted By: AvaxGenius
Introduction to Modeling and Analysis of Stochastic Systems, Second Edition

Introduction to Modeling and Analysis of Stochastic Systems, Second Edition by V. G. Kulkarni
English | PDF | 2011 | 323 Pages | ISBN : 1441917713 | 2.71 MB

This is an introductory-level text on stochastic modeling. It is suited for undergraduate students in engineering, operations research, statistics, mathematics, actuarial science, business management, computer science, and public policy. It employs a large number of examples to teach the students to use stochastic models of real-life systems to predict their performance, and use this analysis to design better systems.