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XI Symposium on Probability and Stochastic Processes CIMAT, Mexico, November…
This volume features a collection of contributed articles and lecture notes from the XI Symposium on Probability and Stochastic Processes, held at CIMAT Mexico in September 2013. Since the symposium was part of the activities organized in Mexico to celebrate the International Year of Statistics, the program included topics from the interface between statistics and stochastic processes.
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- 978-3-319-13984-5
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An Introduction to Continuous-Time Stochastic Processes: Theory, Models, and …
This textbook, now in its third edition, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic processes, stochastic integrals, and stochastic differential equations. Expertly balancing theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and insurance using …
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- Ed. 1
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- 978-1-4939-2757-9
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- XVI, 482
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- Modeling and Simulation in Science, Engineering and Technology
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- 519 CAP i
Recueil de Modèles Aléatoires
Ce recueil puise sa source dans les cours de master de mathématiques appliquées et de préparation à l’épreuve de modélisation de l’agrégation de mathématiques. Le parti pris de cet ouvrage est de polariser la rédaction par les modèles plutôt que par les outils, et de consacrer chaque chapitre à un modèle. Le premier public visé est celui des enseignants-chercheurs en probabili…
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- 978-3-662-49768-5
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- 519.24
Lévy Matters V: Functionals of Lévy Processes
This three-chapter volume concerns the distributions of certain functionals of Lévy processes. The first chapter, by Makoto Maejima, surveys representations of the main sub-classes of infinitesimal distributions in terms of mappings of certain Lévy processes via stochastic integration. The second chapter, by Lars Nørvang Andersen, Søren Asmussen, Peter W. Glynn and Mats Pihlsgård, concerns…
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- 978-3-319-23138-9
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Vector Generalized Linear and Additive Models With an Implementation in R
This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models more fully operable, the framework allows analyses based on many semi-traditional applied statistics models to be …
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- 978-1-4939-2818-7
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- XXIV, 589
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Doubt-Free Uncertainty In Measurement An Introduction for Engineers and Students
This volume presents measurement uncertainty and uncertainty budgets in a form accessible to practicing engineers and engineering students from across a wide range of disciplines. The book gives a detailed explanation of the methods presented by NIST in the ℓ́ℓGUMℓ́ℓ ℓ́ℓ Guide to Uncertainty of Measurement. Emphasis is placed on explaining the background and meaning of the topics…
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- 9783319120621
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- viii, 95 pages : illustrations (some color) ; 25 cm
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- 519.2
Advances in the Control of Markov Jump Linear Systems with No Mode Observation
This brief broadens readers’ understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS). It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real-time application for controlling the speed of direct current motors, illustrating the practical usefulness of MJLS.…
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- Ed. 1
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- 978-3-319-39835-8
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- SpringerBriefs in Electrical and Computer Engineering
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- 519.2 VAR a
High Dimensional Probability VII he Cargèse Volume
This volume collects selected papers from the 7th High Dimensional Probability meeting held at the Institut d'Études Scientifiques de Cargèse (IESC) in Corsica, France. High Dimensional Probability (HDP) is an area of mathematics that includes the study of probability distributions and limit theorems in infinite-dimensional spaces such as Hilbert spaces and Banach spaces. The most remarkab…
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- 978-3-319-40517-9
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- XXVIII, 461
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- 510 HIG
Advances in Stochastic and Deterministic Global Optimization
Current research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields. Contributions include applications to multidimensional data visualization, regression, survey calibration, inventory management, timetabling, chemical engineering, energy systems, and competitive…
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- Ed. 1
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- 978-3-319-29975-4
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- XIII, 296
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- Springer Optimization and Its Applications
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- 511.8 ADV a
Uncertainty Theory
When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will happen. Perhaps some people think that the belief degree should be modeled by subjective probability or fuzzy set theory. However, it is usually inappropriate because both of them may lead to counterintuitive results in this case. In o…
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- 978-3-662-44354-5
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- 105 b/w illustrations
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