Alain Bensoussan – författare

This book explores how the technical upheavals of the 21st century have changed the structures and architecture of the creation, sharing and regulation of knowledge. From the new economic and technical models of production and dissemination of knowledge, the book deals with all new forms of valorisation. It also explains how the legislative deficit in the world and in Europe, around digital is being filled by new initiatives, such as the law for a Digital Republic, in France. It is therefore a book that provides a valuable follow-up to the book "The New Challenges of Knowledge", of which it constitutes the continuation and operational deepening.

This book explores how the technical upheavals of the 21st century have changed the structures and architecture of the creation, sharing and regulation of knowledge. From the new economic and technical models of production and dissemination of knowledge, the book deals with all new forms of valorisation. It also explains how the legislative deficit in the world and in Europe, around digital is being filled by new initiatives, such as the law for a Digital Republic, in France. It is therefore a book that provides a valuable follow-up to the book "The New Challenges of Knowledge", of which it constitutes the continuation and operational deepening.

Wiley Series in Quality & Reliability Engineering

REVOLUTIONIZE YOUR APPROACH TO RELIABILITY ASSESSMENT WITH THIS GROUNDBREAKING BOOK

Reliability evaluation is a critical aspect of engineering, without which safe performance within desired parameters over the lifespan of machines cannot be guaranteed. With microelectronics in particular, the challenges to evaluating reliability are considerable, and statistical methods for creating microelectronic reliability standards are complex. With nano-scale microelectronic devices increasingly prominent in modern life, it has never been more important to understand the tools available to evaluate reliability.

Reliability Prediction for Microelectronics meets this need with a cluster of tools built around principles of reliability physics and the concept of remaining useful life (RUL). It takes as its core subject the ‘physics of failure’, combining a thorough understanding of conventional approaches to reliability evaluation with a keen knowledge of their blind spots. It equips engineers and researchers with the capacity to overcome decades of errant reliability physics and place their work on a sound engineering footing.

Reliability Prediction for Microelectronics readers will also find:

Reliability Prediction for Microelectronics is ideal for reliability and quality engineers, design engineers, and advanced engineering students looking to understand this crucial area of product design and testing.

Wiley Series in Quality & Reliability Engineering

REVOLUTIONIZE YOUR APPROACH TO RELIABILITY ASSESSMENT WITH THIS GROUNDBREAKING BOOK

Reliability evaluation is a critical aspect of engineering, without which safe performance within desired parameters over the lifespan of machines cannot be guaranteed. With microelectronics in particular, the challenges to evaluating reliability are considerable, and statistical methods for creating microelectronic reliability standards are complex. With nano-scale microelectronic devices increasingly prominent in modern life, it has never been more important to understand the tools available to evaluate reliability.

Reliability Prediction for Microelectronics meets this need with a cluster of tools built around principles of reliability physics and the concept of remaining useful life (RUL). It takes as its core subject the ‘physics of failure’, combining a thorough understanding of conventional approaches to reliability evaluation with a keen knowledge of their blind spots. It equips engineers and researchers with the capacity to overcome decades of errant reliability physics and place their work on a sound engineering footing.

Reliability Prediction for Microelectronics readers will also find:

Reliability Prediction for Microelectronics is ideal for reliability and quality engineers, design engineers, and advanced engineering students looking to understand this crucial area of product design and testing.

This book provides a perspective on a number of approaches to financial modelling and risk management. It examines both theoretical and practical issues. Theoretically, financial risks models are models of a real and a financial “uncertainty”, based on both common and private information and economic theories defining the rules that financial markets comply to. Financial models are thus challenged by their definitions and by a changing financial system fueled by globalization, technology growth, complexity, regulation and the many factors that contribute to rendering financial processes to be continuously questioned and re-assessed. The underlying mathematical foundations of financial risks models provide future guidelines for risk modeling. The book’s chapters provide selective insights and developments that can contribute to better understand the complexity of financial modelling and its ability to bridge financial theories and their practice.

Future Perspectives in Risk Models and Finance begins with an extensive outline by Alain Bensoussan et al. of GLM estimation techniques combined with proofs of fundamental results. Applications to static and dynamic models provide a unified approach to the estimation of nonlinear risk models.

A second section is concerned with the definition of risks and their management. In particular, Guegan and Hassani review a number of risk models definition emphasizing the importance of bi-modal distributions for financial regulation. An additional chapter provides a review of stress testing and their implications. Nassim Taleb and Sandis provide an anti-fragility approach based on “skin in the game”. To conclude, Raphael Douady discusses the noncyclical CAR (Capital Adequacy Rule) and their effects of aversion of systemic risks.

A third section emphasizes analytic financial modelling approaches and techniques. Tapiero and Vallois provide an overview of mathematical systems and their use infinancial modeling. These systems span the fundamental Arrow-Debreu framework underlying financial models of complete markets and subsequently, mathematical systems departing from this framework but yet generalizing their approach to dynamic financial models. Explicitly, models based on fractional calculus, on persistence (short memory) and on entropy-based non-extensiveness. Applications of these models are used to define a modeling approach to incomplete financial models and their potential use as a “measure of incompleteness”. Subsequently Bianchi and Pianese provide an extensive overview of multi-fractional models and their important applications to Asset price modeling. Finally, Tapiero and Jinquyi consider the binomial pricing model by discussing the effects of memory on the pricing of asset prices.

This book provides a comprehensive presentation of classical and advanced topics in estimation and control of dynamical systems with an emphasis on stochastic control.  Many aspects which are not easily found in a single text are provided, such as connections between control theory and mathematical finance, as well as differential games.

Dr. Alain Bensoussan is Lars Magnus Ericsson Chair at UT Dallas and Director of the  International Center for Decision and Risk Analysis which develops risk management research as it pertains to large-investment industrial projects that involve new technologies, applications and markets. He is also Chair Professor at City University Hong Kong.