Matrix-analytic Methods in Stochastic Models

Now in its second edition, Forensic DNA Evidence Interpretation is the most comprehensive resource for DNA casework available today. Written by leaders in the fields of biology and statistics, including a contribution from Peter Gill, the father of DNA analysis, the book emphasizes the interpretation of test results and provides the necessary formulae in an easily accessible manner. This latest edition is fully updated and includes current and emerging techniques in this fast-moving field. The book begins by reviewing all pertinent biology, and then provides information on every aspect of DNA analysis. This includes modern interpretation methods and contemporary population genetic models available for estimating DNA frequencies or likelihood ratios. Following a chapter on procedures for validating databases, the text presents overviews and performance assessments of both modern sampling uncertainty methods and current paternity testing techniques, including new guidelines on paternity

This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness. Application areas include: manage

This comprehensive, handbook style survey of diffusion in condensed matter gives detailed insight in diffusion as the process of particle transport due to stochastic movement which is understood and p

In this concise yet comprehensive guide to the mathematics of modern portfolio theory the authors discuss mean-variance analysis, factor models, utility theory, stochastic dominance, very long term investing, the capital asset pricing model, risk measures including VAR, coherence, market efficiency, rationality and the modelling of actuarial liabilities. Each topic is clearly explained with assumptions, mathematics, limitations, problems and solutions presented in turn. Joshi's trademark style of clarity and practicality is here brought to classical financial mathematics. The book is suitable for mathematically trained students in actuarial studies, business and economics as well as mathematics and finance, and it can be used for both self-study and as a course text. The authors' experience as both academics and practitioners brings clarity and relevance to the book, whilst ensuring that the limitations of models are highlighted.

The Effective Organization explores the issues and challenges of levering information technology to respond more effectively to client needs and objectives both within a company and?a market. Based on examples of successes and failures over the last decade, it provides a?forum for discussion within organizations, and between firms and their different business partners.The authors begin by examining the inherent links between business value, business models, and corporate strategy. They show how IT has progressively influenced our perceptions of value by impacting the practice of management, and?propose the Value Matrix ? as a guide to determining how to best deploy talent, organization, and technology to produce value in a company and?a market.Building on these foundations, they?then turn their attention to how current management practice?often neglects the goal of business value. As the prescriptions for optimising organizations and technology have reached their limits, they argue, a

An intuitive, yet precise introduction to probability theory, stochastic processes, statistical inference, and probabilistic models used in science, engineering, economics, and related fields. This is

Logical Positivism: An American History tells the remarkable story of a group of European philosophers and scientists who fled fascism and reshaped American philosophy. Drawing on extensive archival materials, it traces the conflicted reception of their ideas-- once hailed as a model of scientific clarity and yet condemned as a sterile and reductive approach to philosophy. Rather than treating logical positivism as a purely European export, this book argues that it was a product of transatlantic exchange. It reconstructs the rise of an American network of scientists and philosophers whose ideas were defined by twentieth-century revolutions in logic and modern physics; and it shows how their encounters with European 幦igr廥 helped shape a new 'analytic' style of philosophy that has dominated the field ever since. Combining narrative reconstruction with innovative digital humanities methods, this book illuminates the intellectual, institutional, and cultural conditions that enabled logical

隨機微分方程已廣泛用於金融數量計算，如利率期限結構，資產定價以及金融衍生品定價等。隨機微分方程是金融數學的一個重要理論工具，而設計快速有效的算法求解金融隨機模型的複雜隨機微分方程和模型的參數校準是非常重要的兩個問題，解決這類問題對相關金融數學理論的發展也具有重要的推動作用。本書設計一類高階算法對列維過程驅動的隨機微分方程和延遲隨機微分方程求解並將其應用于期權定價研究，並且還設計一類基於粒子群優化的

This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to

This volume discusses protocols for key laboratory techniques used to study Duchenne and Becker muscular dystrophies. The chapters in this book cover a wide array of topics such as biochemical assays, quantification of dystrophin and related proteins, and measurements of muscle physiology. The chapters also cover methods of DMD sequence analysis; processing and isolation of cells from muscle tissue; culture and study of patient-derived cells; and work with animal models of DMD. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and authoritative, Duchenne Muscular Dystrophy: Methods and Protocols is a valuable resource that will contribute to the standardization of practices in the study of dystrophin and dystrophin-related diseas

This 5th edition of this popular graduate textbook, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. It includes numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The R package 'astsa' has had major updates and the text will reflect those updates. In general, the graphics have been improved. New topics include random number generation, modeling and fitting predator-prey interactions, more emphasis on structural models, testing for linearity, discussion of EM algorithm is more extensive, Bayesian analysis of state space models and MCMC is more extensive (including new scripts in astsa), particle methods are introduced, stochastic volatility coverage is expanded, changepoint detection is introduced (new topic).The

This book demonstrates how to formulate the equations of mechanical systems. Providing methods of analysis of complex mechanical systems, the book has a clear focus on efficiency, equipping the reader with knowledge of algorithms that provide accurate results in reduced simulation time.The book uses Kane's method due to its efficiency, and the simple resulting equations it produces in comparison to other methods and extends it with algorithms such as order-nKane's method compensates for the errors of premature linearization, which are often inherent within vibrations modes found in a great deal of public domain softwareDescribing how to build mathematical models of multibody systems with elastic components, the book applies this to systems such as construction cranes, trailers, helicopters, spacecraft, tethered satellites, and underwater vehiclesIt also looks at topics such as vibration, rocket dynamics, simulation of beams, deflection, and matrix formulationFlexible Multibody Dynamics

Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management presents the state-of-the-art in hybrid electric vehicle system modelling and management. With a focus on learning-based energy management strategies, the book provides detailed methods, mathematical models, and strategies designed to optimize the energy management of the energy supply module of a hybrid vehicle.The book first addresses the underlying problems in Hybrid Electric Vehicle (HEV) modeling, and then introduces several artificial intelligence-based energy management strategies of HEV systems, including those based on fuzzy control with driving pattern recognition, multi objective optimization, fuzzy Q-learning and Deep Deterministic Policy Gradient (DDPG) algorithms. To help readers apply these management strategies, the book also introduces State of Charge and State of Health prediction methods and real time driving pattern recognition. For each application, the detailed experimental process

This second edition guides readers through experimental and computational techniques on the study of tissue morphogenesis, with a specific focus on techniques to image, manipulate, model and analyze tissue morphogenesis. Chapters focus on imagining analysis of tissue morphogenesis, culture models of tissue morphogenesis, manipulating cells and tissues in vivo, novel model systems to investigate issue morphogenesis and computational models. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Tissue Morphogenesis: Methods and Protocols serves as a primary resource for both fundamental and practical understanding of the techniques used to uncover the basis of tissue morphogenesis.

Transform any organization with proven strategies and tools for innovation Bringing together a wealth of experience from 60+ distinguished global thought leaders, How to Create Innovation is a comprehensive guide to becoming a leader in innovation and an organization that plays to win, containing all of the working methods, separate business innovation models, and processes you need to transform your organization digitally. The book includes 50+ ready-to-use tools, models, and canvases which you can download and start applying to your organization immediately. Written by Stefan F. Dieffenbacher, founder of an international award-winning consulting agency, the book draws upon Dieffenbacher's experiences working with clients like Amazon, BMW, Google, and Pfizer to deliver a one-stop, end-to-end solution to innovative transformation. In this book, readers will learn how to: Uncover opportunities by finding your niche and devising a more nuanced business strategyLead culture change by reco

The goal of this Third Edition is the same as previous editions: to provide a good foundation - and a joyful experience! - for anyone who'd like to learn about nonlinear dynamics and chaos from an applied perspective.The presentation stresses analytical methods, concrete examples, and geometric intuition. The theory is developed systematically, starting with first-order differential equations and their bifurcations, followed by phase plane analysis, limit cycles and their bifurcations, and culminating with the Lorenz equations, chaos, iterated maps, period doubling, renormalization, fractals, strange attractors, and synchronization.The prerequisites are comfort with multivariable calculus and linear algebra, as well as a first course in physics.Changes to this edition include substantial exercises about conceptual models of climate change, an updated treatment of the SIR model of epidemics, and amendments (based on recent research) about the Selkov model of oscillatory glycolysis. Equa

This book describes how computer programs can generate narratives and how studies of computational narrative can illuminate how humans tell stories. Combining an introduction to relevant concepts related to automatic storytelling with accessible descriptions of well-known computer programs that illustrate how such concepts are employed, the book is aimed at an interdisciplinary audience and assumes little or no background in computer science. The book introduces the most relevant techniques employed over the last 60 years for the development of computer models for narrative generation, including narrative templates, problem-solving, planning, author engagement and reflection, and statistical methods such as deep neural networks, ending with an examination of the societal implications of the development of automatic narrative generator systems.

How do we experience poetry as readers? What is it in the text that provokes particular reactions, and how can we methodologically reveal these effects?Introducing an evidence-based approach to poetics, this book explores the psychological effects of poetic form and content, with an emphasis on how real readers respond to and experience poetry. Engaging with texts from diverse cultural and historical settings, it covers the basics of stylistic theory while at the same time outlining the specific methods required to categorize readers’ cognitive, emotional and attitudinal reactions. Chapters guide you through engaging experiments, covering key concepts such as significance, averages, deviation, outliers and reliability, and bring poetry to life by drawing on YouTube performances and musical renditions of the texts.With further readings, a glossary of key terms and ancillary resources providing an overview of research methodology, this book equips you with all the linguistic and analytic

How do we experience poetry as readers? What is it in the text that provokes particular reactions, and how can we methodologically reveal these effects?Introducing an evidence-based approach to poetics, this book explores the psychological effects of poetic form and content, with an emphasis on how real readers respond to and experience poetry. Engaging with texts from diverse cultural and historical settings, it covers the basics of stylistic theory while at the same time outlining the specific methods required to categorize readers’ cognitive, emotional and attitudinal reactions. Chapters guide you through engaging experiments, covering key concepts such as significance, averages, deviation, outliers and reliability, and bring poetry to life by drawing on YouTube performances and musical renditions of the texts.With further readings, a glossary of key terms and ancillary resources providing an overview of research methodology, this book equips you with all the linguistic and analytic

In and Out of View models an expansion in how censorship is discursively framed. Contributors from diverse backgrounds, including artists, art historians, museum specialists, and students, address controversial instances of art production and reception from the mid-20th century to the present in the Americas, Africa,Asia, Europe, and the Middle East. Their essays, interviews, and statements invite consideration of the shifting contexts, values, and needs through which artwork moves in and out of view. At issue are governmental restrictions and discursive effects, including erasure and distortion resulting from institutional policies, canonical processes, and interpretive methods. Crucial considerations concerning death/violence, authoritarianism, (neo)colonialism, global capitalism, immigration, race, religion, sexuality, activism/social justice, disability, campus speech, and cultural destruction are highlighted. The anthology―a thought-provoking resource for students and scholars in

Corporate Social Responsibility Across the Globe demonstrates many ways that CSR can be applied by law to overcome regulation and governance challenges around the world. Using interdisciplinary and comparative models and perspectives, the book challenges dominant understandings of CSR, such as neoliberal voluntarism, and demonstrates the regulatory and governance implications of an interdependent relationship between CSR and the law. The book identifies substantive and procedural barriers for CSR in national, public, and private international law. By analyzing, deconstructing, and reframing CSR in these contexts, the book underlines opportunities for more effective application of CSR as a governance mechanism. Chapters investigate relevant regulation concepts, paradigms and approaches for CSR; methods for infusing CSR in corporate governance; and ways to facilitate private regulation of CSR in more developed, emerging, and developing jurisdictions.

Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. The contributed chapters cover the use of Bayesian probabilistic modelling in a diverse set of applications, including improving pointing-based interfaces; efficient text entry using modern language models; advanced interface design using cutting-edge techniques in Bayesia

Ideal for entry-level and experienced researchers working in materials science and engineering, this unique book introduces a new subfield of materials science and mechanics of materials: network materials. A comprehensive review of their mechanical behaviours allows readers to understand, design, and enhance the performance of these material systems, across a range of materials including cytoskeletons, connective tissue, and thermoset polymers. By introducing simple models, supported by experimental data, the book provides the necessary fundamental knowledge to assist readers to design and develop their own material systems. By presenting each of these previously disparate material systems within a unified theoretical framework, this book provides a consolidated presentation of the mechanics of networks and their interactions, introducing parameters that define the stochastic structure of the network, and discussing their mechanical behaviour. It is an ideal text for those new to this

Foundations of Behavior Genetics provides a forward-looking introduction to this fascinating field. Written by an experienced teacher and researcher, this text focuses on concepts, methods, and findings that inform our understanding of heredity–behavior relations. The book's neuroscience perspective asks students to think about potential neural mechanisms involved in pathways from genes to behavior. While the text is primarily focused on human behavior genetics, it also emphasizes the importance of non-human animal models in experimental studies, as well as their evolutionary connections to humans. Part I covers the history of behavior genetics and the basics of non-molecular genetics; Part II discusses molecular genetics and neurogenetics; Part III addresses various behavioral disorders; and Part IV explores health, social behavior, and ethical implications. The text includes detailed chapter summaries, several “Check-up” questions after major sections that test student understanding,

Most systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This lucid book considers the identification and control of such systems. It discusses open loop and closed loop identification methods, as well as the design of multivariable controllers based on steady state gain matrix. Simple methods for designing controllers based on transfer function matrix model have been reviewed. The design of controllers for non-square systems, and closed loop identification of multivariable unstable systems by the optimization method are also covered. Several simulation examples and exercise problems at the end of each chapter further help the reader consolidate the knowledge gained. This book will be useful to any engineering student, researcher or practitioner who works with interactive, multivariable control systems.

A comprehensive reference for financial economics, balancing theoretical explanations, empirical evidence, and the practical relevance of knowledge in the field. This volume offers a comprehensive, integrated treatment of financial economics, tracking the major milestones in the field and providing methodological tools. Doing so, it balances theoretical explanations, empirical evidence, and practical relevance. It illustrates nearly a century of theoretical advances with a vast array of models, showing how real phenomena (and, at times, market practice) have helped economists reformulate existing theories. Throughout, the book offers examples and solved problems that help readers understand the main lessons conveyed by the models analyzed. The book provides a unique and authoritative reference for the field of financial economics. Part I offers the foundations of the field, introducing asset evaluation, information problems in asset markets and corporate finance, and methods of stat

Mathematics instruction is often more effective when presented in a physical context. Schramm uses this insight to help develop students' physical intuition as he guides them through the mathematical methods required to study upper-level physics. Based on the undergraduate Math Methods course he has taught for many years at Occidental College, the text encourages a symbiosis through which the physics illuminates the math, which in turn informs the physics. Appropriate for both classroom and self-study use, the text begins with a review of useful techniques to ensure students are comfortable with prerequisite material. It then moves on to cover vector fields, analytic functions, linear algebra, function spaces, and differential equations. Written in an informal and engaging style, it also includes short supplementary digressions ('By the Ways') as optional boxes showcasing directions in which the math or physics may be explored further. Extensive problems are included throughout, many t

A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of 'deep' or 'Q', or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra. A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails. Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning. Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control. These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning.