Basic Methods of Linear Functional Analysis

A guide to all aspects of experimental design and data analysis for fMRI experiments, completely revised and updated for the second edition. Functional magnetic resonance imaging (fMRI), which allows

The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated.

A standard reference on the application of network theory to the design of automatic control systems. The 1943 printing of The Analysis and Synthesis of Linear Servomechanisms was classified as rest

Transportation systems analysis is a multidisciplinary field which draws onengineering, economics, operations research, political science, psychology, management, and otherdisciplines. The major text

An updated edition of a widely used textbook, offering a clear and comprehensive presentation of mathematics for undergraduate economics students.This text offers a clear and comprehensive presentation of the mathematics required to tackle problems in economic analyses, providing not only straightforward exposition of mathematical methods for economics students at the intermediate and advanced undergraduate levels but also a large collection of problem sets. This updated and expanded fourth edition contains numerous worked examples drawn from a range of important areas, including economic theory, environmental economics, financial economics, public economics, industrial organization, and the history of economic thought. These help students develop modeling skills by showing how the same basic mathematical methods can be applied to a variety of interesting and important issues. The five parts of the text cover fundamentals, calculus, linear algebra, optimization, and dynamics. The onl

An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a mathematically gentle and theoretically unified introduction to modeling cognitive processes. Theoretical exercises of varying degrees of difficulty throughout help readers develop their modeling skills. After a general introduction to cognitive modeling and optimization, the book covers models of decision making; supervised learning algorithms, including Hebbian learning, delta rule, and backpropagation; the statistical model analysis methods of model parameter estimation and model evaluation; the three recent cognitive modeling approaches of reinforcement learning, unsupervised learning, and

Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow―and show how a human-centered approach can enhance each one, by making the process more transparent, aski

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the ne

A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can

A unified treatment of the generation and analysis of brain-generated electromagnetic fields.In Brain Signals, Risto Ilmoniemi and Jukka Sarvas present the basic physical and mathematical principles o

This book offers a cogent and concise treatment of econometric theory and methods along with the underlying ideas from statistics, probability theory, and linear algebra.

Biomedical signal analysis has become one of the most important visualization and interpretation methods in biology and medicine. Many new and powerful instruments for detecting, storing, transmittin

Cognitive electrophysiology concerns the study of the brain's electrical and magneticresponses to both external and internal events. These can be measured using electroencephalograms(EEGs) or magnetoe

Contributions to this edition of Computer Methods have been extensively revised and contain much new material-updating the proceedings of a conference held in 1964 at the Joint Center for Urban Studie

Functional magnetic resonance imaging (fMRI), which allows researchers to observeneural activity in the human brain noninvasively, has revolutionized the scientific study of themind. An fMRI experimen

This long-awaited two-volume book examines how the interplay of ideas and actions applied to environmental problems has laid the foundations for global environmental management. It looks at how ideas,

This monograph is an attempt to develop further and refine methods based on input -output descriptions for analyzing feedback systems. Contrary to previous work in this area, the treatment heavily emp

Simulation modeling is increasingly integrated into research and policy analysis of complex sociotechnical systems in a variety of domains. Model-based analysis and policy design inform a range of app

How the basic concepts of economics -- including markets, institutions, and money -- can be used to create and analyze economies based on virtual goods.In the twenty-first-century digital world, virtu

The authors' model is the first large-scale computer simulation of the effects of changes in U.S. import quotas. Using applied general equilibrium methods to analyze recent debates about the conduct o

This graduate text provides an intuitive but rigorous treatment of contemporary methods used in microeconometric research. The book makes clear that applied microeconometrics is about the estimation

Using applied general equilibrium methods to analyze recent debates about the conduct of US foreign trade policy, de Melo and Tarr show that in terms of costs to the economy and to consumers, non-tari

This book addresses two significant research areas in an interdependent fashion. It is first of all a comprehensive but concise text that covers the recently developed and widely applicable methods of

This book addresses two significant research areas in an interdependent fashion. It is first of all a comprehensive but concise text that covers the recently developed and widely applicable methods of

The methods of discrete choice analysis and their applications in the modelling of transportation systems constitute a comparatively new field that has largely evolved over the past 15 years. Since it

The emerging field of action science is characterized by a diversity of theoretical and methodological approaches that share the basic functional belief that evolution has optimized cognitive systems

An environmental lawyer offers an analysis of practices that contribute to the failure of successful waste disposal and suggests alternative methods to tackle various forms of waste and effectively al

John Templer has written the first theoretical, historical, and scientific analysis of one of the most basic and universal building elements: the stair. Together, these two volumes present a detailed

John Templer has written a theoretical, historical, and scientific analysis of one of the most basic and universal building elements: the stair. Together, these two volumes - "History and Theories" an

This text is an analysis of the relationship between culture and technology. The author - an archaeologist, metallurgist, and anthropologist - shows how the methods of materials science, augmented by

Connections and Symbols provides the first systematic analysis of the explosive newfield of Connectionism that is challenging the basic tenets of cognitive science.

This book reviews the spectrum of economic methods that have been developed from the mid-1970s to the mid-1980s to analyze the feasibility of solar systems and shows how the use of these techniques ha

John Templer has written a theoretical, historical, and scientific analysis of of one of the most basic and universal building elements: the stair. Together, these two volumes present a detailed study

John Templer has written a theoretical, historical, and scientific analysis of one of the most basic and universal building elements: the stair. Together, these two volumes - "History and Theories" an

John Templer has written the first theoretical, historical, and scientific analysis of one of the most basic and universal building elements: the stair. Together, these two volumes present a detailed

John Templer has written a theoretical, historical, and scientific analysis of one of the most basic and universal building elements: the stair. Together, these two volumes present a detailed study of

"Networks and Distributed Computation" covers the recent rapid developments in distributed systems. It introduces the basic tools for the design and analysis of systems involving large-scale concurren