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Las situaciones azarosas atraviesan la vida cotidiana y de su experiencia podemos obtener una idea intuitiva y básica de la probabilidad de ocurrencia de los fenómenos aleatorios. Formalmente, la probabilidad es el cálculo matemático que evalúa las posibilidades de que un suceso ocurra cuando interviene el azar. La variación de los precios de materias primas, los tratamientos médicos, los juegos ... Leer más

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Las situaciones azarosas atraviesan la vida cotidiana y de su experiencia podemos obtener una idea intuitiva y básica de la probabilidad de ocurrencia de los fenómenos aleatorios. Formalmente, la probabilidad es el cálculo matemático que evalúa las posibilidades de que un suceso ocurra cuando interviene el azar. La variación de los precios de materias primas, los tratamientos médicos, los juegos
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de Rodrigo Barbosa, Humberto llinas ...

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This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools ... Leer más

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This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools
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First Look At Stochastic Processes, A

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This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and ... Leer más

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This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and
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Pseudo-Regularly Varying Functions and Generalized Renewal Processes

de Valeriĭ V. Buldygin, Karl-Heinz Indlekofer, Oleg I. Klesov, Josef G. Steinebach ...

Series Libro 91 - Probability Theory and Stochastic Modelling
One of the main aims of this book is to exhibit some fruitful links between renewal theory and regular variation of functions. Applications of renewal processes play a key role in actuarial and financial mathematics as well as in engineering, operations research and other fields of applied mathematics. On the other hand, regular variation of functions is a property that features prominently in ... Leer más

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Probabilistic Spiking Neuronal Nets

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de Antonio Galves, Eva Löcherbach, Christophe Pouzat ...

Series series Mathematics and Statistics (R0)
This book provides a self-contained introduction to a new class of stochastic models for systems of spiking neurons. These systems have a large number of interacting components, each one evolving as a stochastic process with a memory of variable length. Several mathematical tools are put to use, such as Markov chains, stochastic chains having memory of variable length, point processes having ... Leer más

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This book provides a self-contained introduction to a new class of stochastic models for systems of spiking neurons. These systems have a large number of interacting components, each one evolving as a stochastic process with a memory of variable length. Several mathematical tools are put to use, such as Markov chains, stochastic chains having memory of variable length, point processes having
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Open Quantum Systems

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Edición de Dorothea Bahns, Anke Pohl, Ingo Witt ...

Series series Tutorials, Schools, and Workshops in the Mathematical Sciences
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Molecular Storms

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Series series Physics and Astronomy (R0)
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Probability and Stochastic Processes

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Edición de Siva Athreya, Abhay G. Bhatt, B. V. Rao ...

Series series Mathematics and Statistics (R0)
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Advancements in Bayesian Methods and Implementations

de Alastair G Young, Arni S.R. Srinivasa Rao, C.R. Rao ...

Series Libro 47 - Handbook of Statistics
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An Introduction to Probability

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de Edward P C Kao ...

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Series series Physics and Astronomy (R0)
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Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection. Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of surveying, the authors describe a wide variety of
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Search Theory

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Edición de David V. Chudnovsky, Gregory V. Chudnovsky ...

Series series Lecture Notes in Pure and Applied Mathematics
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On the solution of an optimal search problem with an exponential detection function. Covers one- and two-sided detection problems by furnishing continuous and discret time strategies; examines two-sided search strategies with solutions in hide and seek games in many discrete and continuous bounded
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Ruin Probabilities

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Ruin Probabilities: Smoothness, Bounds, Supermartingale Approach deals with continuous-time risk models and covers several aspects of risk theory. The first of them is the smoothness of the survival probabilities. In particular, the book provides a detailed investigation of the continuity and differentiability of the infinite-horizon and finite-horizon survival probabilities for different risk
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Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of Matrix-Analytic Methods, Phase-Type Distributions, Markovian arrival processes and Structured Markov chains and matrix geometric solutions.New materials and techniques are presented for the first time in research and engineering design. ... Leer más

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Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of Matrix-Analytic Methods, Phase-Type Distributions, Markovian arrival processes and Structured Markov chains and matrix geometric solutions.New materials and techniques are presented for the first time in research and engineering design.
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Principles and Methods for Data Science

de Arni S.R. Srinivasa Rao, C.R. Rao ...

Series Libro 43 - Handbook of Statistics
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Earthquake Hazard and Risk

Edición de Vladimír Schenk ...

Series Libro 6 - Advances in Natural and Technological Hazards Research
Earthquake Hazard and Risk is a book summarizing selected papers presented at the 27th General Assembly of the International Association of Seismology and Physics of the Earth's Interior (Wellington, January 1994).The papers, rigorously scrutinized by an international board of referees, cover some recent aspects of current research in earthquake hazard and seismic risk. They address the algorithms ... Leer más

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Genealogies Of Interacting Particle Systems

de Matthias Birkner, Rongfeng Sun, Jan M Swart ...

Series Libro 38 - Lecture Notes Series, Institute For Mathematical Sciences, National University Of Singapore
Interacting particle systems are Markov processes involving infinitely many interacting components. Since their introduction in the 1970s, researchers have found many applications in statistical physics and population biology. Genealogies, which follow the origin of the state of a site backwards in time, play an important role in their studies, especially for the biologically motivated systems.The ... Leer más

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Interacting particle systems are Markov processes involving infinitely many interacting components. Since their introduction in the 1970s, researchers have found many applications in statistical physics and population biology. Genealogies, which follow the origin of the state of a site backwards in time, play an important role in their studies, especially for the biologically motivated systems.The
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Mathematics of Two-Dimensional Turbulence

de Sergei Kuksin, Armen Shirikyan ...

Series Libro 194 - Cambridge Tracts in Mathematics
This book is dedicated to the mathematical study of two-dimensional statistical hydrodynamics and turbulence, described by the 2D Navier–Stokes system with a random force. The authors' main goal is to justify the statistical properties of a fluid's velocity field u(t,x) that physicists assume in their work. They rigorously prove that u(t,x) converges, as time grows, to a statistical equilibrium, ... Leer más

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This book is dedicated to the mathematical study of two-dimensional statistical hydrodynamics and turbulence, described by the 2D Navier–Stokes system with a random force. The authors' main goal is to justify the statistical properties of a fluid's velocity field u(t,x) that physicists assume in their work. They rigorously prove that u(t,x) converges, as time grows, to a statistical equilibrium,
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Stochastic Models of Financial Mathematics

de Vigirdas Mackevicius ...

This book presents a short introduction to continuous-time financial models. An overview of the basics of stochastic analysis precedes a focus on the Black–Scholes and interest rate models. Other topics covered include self-financing strategies, option pricing, exotic options and risk-neutral probabilities. Vasicek, Cox−Ingersoll−Ross, and Heath–Jarrow–Morton interest rate models are also explored ... Leer más

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This book presents a short introduction to continuous-time financial models. An overview of the basics of stochastic analysis precedes a focus on the Black–Scholes and interest rate models. Other topics covered include self-financing strategies, option pricing, exotic options and risk-neutral probabilities. Vasicek, Cox−Ingersoll−Ross, and Heath–Jarrow–Morton interest rate models are also explored
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Elements Of Stochastic Dynamics

de Guo-qiang Cai, Weiqiu Zhu ...

Stochastic dynamics has been a subject of interest since the early 20th Century. Since then, much progress has been made in this field of study, and many modern applications for it have been found in fields such as physics, chemistry, biology, ecology, economy, finance, and many branches of engineering including Mechanical, Ocean, Civil, Bio, and Earthquake Engineering.Elements of Stochastic ... Leer más

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Stochastic dynamics has been a subject of interest since the early 20th Century. Since then, much progress has been made in this field of study, and many modern applications for it have been found in fields such as physics, chemistry, biology, ecology, economy, finance, and many branches of engineering including Mechanical, Ocean, Civil, Bio, and Earthquake Engineering.Elements of Stochastic
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Introduction To Stochastic Processes

de Mu-fa Chen, Yong-hua Mao ...

Series Libro 2 - World Scientific Series On Probability Theory And Its Applications
The objective of this book is to introduce the elements of stochastic processes in a rather concise manner where we present the two most important parts — Markov chains and stochastic analysis. The readers are led directly to the core of the main topics to be treated in the context. Further details and additional materials are left to a section containing abundant exercises for further reading and ... Leer más

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The objective of this book is to introduce the elements of stochastic processes in a rather concise manner where we present the two most important parts — Markov chains and stochastic analysis. The readers are led directly to the core of the main topics to be treated in the context. Further details and additional materials are left to a section containing abundant exercises for further reading and
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Procesos estocásticos con aplicaciones

Decision Making under Deep Uncertainty

First Look At Stochastic Processes, A

Pseudo-Regularly Varying Functions and Generalized Renewal Processes

Probabilistic Spiking Neuronal Nets

Open Quantum Systems

Molecular Storms

Probability and Stochastic Processes

Advancements in Bayesian Methods and Implementations

An Introduction to Probability

Modelling Non-Markovian Quantum Systems Using Tensor Networks

Statistical Topics and Stochastic Models for Dependent Data with Applications

Occupancy Estimation and Modeling

Search Theory

Ruin Probabilities

Fundamentals of Matrix-Analytic Methods

Principles and Methods for Data Science

Earthquake Hazard and Risk

Genealogies Of Interacting Particle Systems

Mathematics of Two-Dimensional Turbulence

Stochastic Models of Financial Mathematics

Elements Of Stochastic Dynamics

Introduction To Stochastic Processes