This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. The entire text, including all the figures and n
The bulk of this volume deals with the four main aspects of risk management: market risk, credit risk, risk management - in macro-economy as well as within companies. It presents a number of approache
This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random for
This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine lea
This book provides evidence on the relevance of environmental and social factors in decision making, discusses the Gold Standard Frameworks for integrating extra-financial risks into the value chain m
The recent turmoil on financial markets has made evident the importance of efficient liquidity risk management for the stability of banks. The measurement and management of liquidity risk must take in
This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on
This book presents a broad overview of risk management in the banking industry, with a special focus on strategic thinking and decision-making. It reveals the broader context behind decision models a
This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with sel
The aim of this book is to summarize probabilistic safety assessment (PSA) of nuclear power plants with WWER440 reactors and demonstrate that the plants are safe enough for producing energy even in li
With reliable guidance on corporate risk and safety management for aviation businesses at all levels, this volume explains how to implement the latest international regulations—a vital aid to smaller
This book interlaces financial concepts and instruments, such as arbitrage opportunities, admissible strategies, contingent claims, option pricing, default risk, ruin, with Brownian motion, diffusion
How can a place be built and managed so that it is safe for people to live? Ironically, many governments and citizens keep on asking the same question after every new disaster. Why, even with high lev
Investment and risk management problems are fundamental problems for financial institutions and involve both speculative and hedging decisions. A structured approach to these problems naturally leads
Investment and risk management problems are fundamental problems for financial institutions and involve both speculative and hedging decisions. A structured approach to these problems naturally leads
This book deals with theories and technologies for longevity, maintenance, disaster prevention, risk management, renovation and recycling of infrastructure as well as historical and cultural approache
Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the
?Weather derivatives are financial instruments that can be used by organizations or individuals as part of a risk management strategy to minimize risk associated with adverse or unexpected weather con
?Against the background of the financial-cum-sovereign debt crisis, government debt managers are currently faced by a challenging environment. One key element in that respect is the analysis and forec
?Weather derivatives are financial instruments that can be used by organizations or individuals as part of a risk management strategy to minimize risk associated with adverse or unexpected weather con
Risk management for financial institutions is one of the key topics the financial industry has to deal with. The present volume is a mathematically rigorous text on solvency modeling. Currently, there
Multifractal Financial Markets ?explores appropriate models for estimating risk and profiting from market swings, allowing readers to develop enhanced portfolio management skills and strategies. Frac
This informative volume synthesizes the literatures on health economics, risk management, and health services into a concise guide to the financial and social basics of health insurance with an eye to
Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph framework for graph processing. This is the same framewo
This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series co
This book teaches readers ground engineering principles and related mining and risk management practices associated with underground coal mining. It establishes the basic elements of risk management a
The media now regularly feature breakthroughs on the influence of prenatal hormones on the brain and behavior, for instance the link to financial performance or risk management. Based on these finding
