Stochastics

Dynamical systems with random influences occur throughout the physical, biological, and social sciences.

There is currently ever pressing need to provide a critical assessment of the current knowledge and indicate new challenges which are brought by the present time in fighting the man-made and natural hazards in transient analysis of structures.

Europe witnessed in the last years a number of significant power contingencies.

Random matrices are widely and successfully used in physics for almost 60-70 years, beginning with the works of Dyson and Wigner.

The present textbook contains the recordsof a two-semester course on que- ing theory, including an introduction to matrix-analytic methods.

In contrast to the prevailing tradition in epistemology, the focus in this book is on low-level inferences, i.

While the primary purpose of the book is a celebration of John's contributions to the field of measurement, a second and related purpose is to provide a useful resource.

This handbook focuses on some important topics from Number Theory and Discrete Mathematics.

Stochastic analysis is a field of mathematical research having numerous interactions with other domains of mathematics such as partial differential equations, riemannian path spaces, dynamical systems, optimization.

Geometric Data Analysis (GDA) is the name suggested by P.

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This book is the first to comprehensively explore elasticity imaging and examines recent, important developments in asymptotic imaging, modeling, and analysis of deterministic and stochastic elastic wave propagation phenomena.

The modeling of stochastic dependence is fundamental for understanding random systems evolving in time.

This book provides the elements of probability and stochastic processes of direct interest to the applied sciences where probabilistic models play an important role, most notably in the information and communications sciences, computer sciences, operations research, and electrical engineering, but also in fields like epidemiology, biology, ecology, physics, and the earth sciences.

The first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with functional analysis).

The first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with functional analysis).

2020 Taylor & Francis Award Winner for Outstanding New Textbook!

2020 Taylor & Francis Award Winner for Outstanding New Textbook!

This book will cover heuristic optimization techniques and applications in engineering problems.

This book will cover heuristic optimization techniques and applications in engineering problems.

'An authoritative survey with exciting new insights of special interest to economists and econometricians who analyse intertemporal and interspatial price relationships.

A study of the miscalculations of the figures for "e;world"e; history employed by statistically-minded historians.

This book introduces essential concepts in stochastic processes that interface seamlessly with applications of interest in science and engineering.

Graduate text covering the theory of Hardy spaces from its origins to the present, with concrete applications and solved exercises.

Graduate text covering the theory of Hardy spaces from its origins to the present, with concrete applications and solved exercises.

A mathematically rigorous introduction to fractals, emphasizing examples and fundamental ideas while minimizing technicalities.

A modern presentation of the ''Lyapunov function'' method applied to near-critical stochastic systems, exemplified by non-homogeneous random walks.

A mathematically rigorous introduction to fractals, emphasizing examples and fundamental ideas while minimizing technicalities.

A modern presentation of the ''Lyapunov function'' method applied to near-critical stochastic systems, exemplified by non-homogeneous random walks.

This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.

This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.

This book explores EU-China security cooperation across a range of key issues.

This book explores EU-China security cooperation across a range of key issues.

This book focuses on applications of martingales to the geometry of Banach spaces, and is accessible to graduate students.

This book focuses on applications of martingales to the geometry of Banach spaces, and is accessible to graduate students.

This book covers formulation, algorithms, and structural results of partially observed Markov decision processes, linking theory to real-world applications in controlled sensing.

This book covers formulation, algorithms, and structural results of partially observed Markov decision processes, linking theory to real-world applications in controlled sensing.

This monograph is a progressive introduction to non-commutativity in probability theory.

This monograph is a progressive introduction to non-commutativity in probability theory.

A unique introduction to reproducing kernel Hilbert spaces, covering the fundamental underlying theory as well as a range of applications.

A unique introduction to reproducing kernel Hilbert spaces, covering the fundamental underlying theory as well as a range of applications.

This book provides a thorough understanding of the techniques used to retrieve multi-scale information from turbulent and complex systems, with case studies.