Identification For Prediction And Decision

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Identification for Prediction and Decision

Author : Charles F. Manski
Publisher : Harvard University Press
ISBN 13 : 9780674033665
Total Pages : 370 pages
Book Rating : 4.0/5 (336 download)

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Book Synopsis Identification for Prediction and Decision by : Charles F. Manski

Download or read book Identification for Prediction and Decision written by Charles F. Manski and published by Harvard University Press. This book was released on 2009-06-30 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a full-scale exposition of Charles Manski's new methodology for analyzing empirical questions in the social sciences. He recommends that researchers first ask what can be learned from data alone, and then ask what can be learned when data are combined with credible weak assumptions. Inferences predicated on weak assumptions, he argues, can achieve wide consensus, while ones that require strong assumptions almost inevitably are subject to sharp disagreements. Building on the foundation laid in the author's Identification Problems in the Social Sciences (Harvard, 1995), the book's fifteen chapters are organized in three parts. Part I studies prediction with missing or otherwise incomplete data. Part II concerns the analysis of treatment response, which aims to predict outcomes when alternative treatment rules are applied to a population. Part III studies prediction of choice behavior. Each chapter juxtaposes developments of methodology with empirical or numerical illustrations. The book employs a simple notation and mathematical apparatus, using only basic elements of probability theory.

Public Policy in an Uncertain World

Author : Charles F. Manski
Publisher : Harvard University Press
ISBN 13 : 0674067541
Total Pages : 218 pages
Book Rating : 4.6/5 (74 download)

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Book Synopsis Public Policy in an Uncertain World by : Charles F. Manski

Download or read book Public Policy in an Uncertain World written by Charles F. Manski and published by Harvard University Press. This book was released on 2013-02-14 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manski argues that public policy is based on untrustworthy analysis. Failing to account for uncertainty in an uncertain world, policy analysis routinely misleads policy makers with expressions of certitude. Manski critiques the status quo and offers an innovation to improve both how policy research is conducted and how it is used by policy makers.

A Course in Econometrics

Author : Arthur Stanley Goldberger
Publisher : Harvard University Press
ISBN 13 : 9780674175440
Total Pages : 430 pages
Book Rating : 4.1/5 (754 download)

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Book Synopsis A Course in Econometrics by : Arthur Stanley Goldberger

Download or read book A Course in Econometrics written by Arthur Stanley Goldberger and published by Harvard University Press. This book was released on 1991 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text prepares first-year graduate students and advanced undergraduates for empirical research in economics, and also equips them for specialization in econometric theory, business, and sociology. A Course in Econometrics is likely to be the text most thoroughly attuned to the needs of your students. Derived from the course taught by Arthur S. Goldberger at the University of Wisconsin-Madison and at Stanford University, it is specifically designed for use over two semesters, offers students the most thorough grounding in introductory statistical inference, and offers a substantial amount of interpretive material. The text brims with insights, strikes a balance between rigor and intuition, and provokes students to form their own critical opinions. A Course in Econometrics thoroughly covers the fundamentals--classical regression and simultaneous equations--and offers clear and logical explorations of asymptotic theory and nonlinear regression. To accommodate students with various levels of preparation, the text opens with a thorough review of statistical concepts and methods, then proceeds to the regression model and its variants. Bold subheadings introduce and highlight key concepts throughout each chapter. Each chapter concludes with a set of exercises specifically designed to reinforce and extend the material covered. Many of the exercises include real microdata analyses, and all are ideally suited to use as homework and test questions.

Patient Care Under Uncertainty

Author : Charles F. Manski
Publisher : Princeton University Press
ISBN 13 : 0691194734
Total Pages : 184 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Patient Care Under Uncertainty by : Charles F. Manski

Download or read book Patient Care Under Uncertainty written by Charles F. Manski and published by Princeton University Press. This book was released on 2019-09-10 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the past few years, the author, a renowned economist, has been applying the statistical tools of economics to decision making under uncertainty in the context of patient health status and response to treatment. He shows how statistical imprecision and identification problems affect empirical research in the patient-care sphere.

Identification Problems in the Social Sciences

Author : Charles F. Manski
Publisher : Harvard University Press
ISBN 13 : 9780674442849
Total Pages : 194 pages
Book Rating : 4.4/5 (428 download)

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Book Synopsis Identification Problems in the Social Sciences by : Charles F. Manski

Download or read book Identification Problems in the Social Sciences written by Charles F. Manski and published by Harvard University Press. This book was released on 1995 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author draws on examples from a range of disciplines to provide social and behavioural scientists with a toolkit for finding bounds when predicting behaviours based upon nonexperimental and experimental data.

Group-Based Modeling of Development

Author : Daniel S. Nagin
Publisher : Harvard University Press
ISBN 13 : 0674041313
Total Pages : 214 pages
Book Rating : 4.6/5 (74 download)

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Book Synopsis Group-Based Modeling of Development by : Daniel S. Nagin

Download or read book Group-Based Modeling of Development written by Daniel S. Nagin and published by Harvard University Press. This book was released on 2009-07-01 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic exposition of a group-based statistical method for analyzing longitudinal data in the social and behavioral sciences and in medicine. The methods can be applied to a wide range of data, such as that describing the progression of delinquency and criminality over the life course, changes in income over time, the course of a disease or physiological condition, or the evolution of the socioeconomic status of communities. Using real-world research data from longitudinal studies, the book explains and applies this method for identifying distinctive time-based progressions called developmental trajectories. Rather than assuming the existence of developmental trajectories of a specific form before statistical data analysis begins, the method allows the trajectories to emerge from the data itself. Thus, in an analysis of data on Montreal school children, it teases apart four distinct trajectories of physical aggression over the ages 6 to 15, examines predictors of these trajectories, and identifies events that may alter the trajectories. Aimed at consumers of statistical methodology, including social scientists, criminologists, psychologists, and medical researchers, the book presents the statistical theory underlying the method with a mixture of intuition and technical development.

Surfing Uncertainty

Author : Andy Clark
Publisher : Oxford University Press, USA
ISBN 13 : 0190217014
Total Pages : 425 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis Surfing Uncertainty by : Andy Clark

Download or read book Surfing Uncertainty written by Andy Clark and published by Oxford University Press, USA. This book was released on 2016 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exciting new theories in neuroscience, psychology, and artificial intelligence are revealing minds like ours as predictive minds, forever trying to guess the incoming streams of sensory stimulation before they arrive. In this up-to-the-minute treatment, philosopher and cognitive scientist Andy Clark explores new ways of thinking about perception, action, and the embodied mind.

Identification and Prediction of Highway Accidents Using Decision Trees

Author : Pei Zhang
Publisher :
ISBN 13 :
Total Pages : 154 pages
Book Rating : 4.:/5 (646 download)

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Book Synopsis Identification and Prediction of Highway Accidents Using Decision Trees by : Pei Zhang

Download or read book Identification and Prediction of Highway Accidents Using Decision Trees written by Pei Zhang and published by . This book was released on 2005 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

Author : Rani, Geeta
Publisher : IGI Global
ISBN 13 : 1799827437
Total Pages : 586 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning by : Rani, Geeta

Download or read book Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning written by Rani, Geeta and published by IGI Global. This book was released on 2020-10-16 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.

Discrete Choice Methods with Simulation

Author : Kenneth Train
Publisher : Cambridge University Press
ISBN 13 : 0521766559
Total Pages : 399 pages
Book Rating : 4.5/5 (217 download)

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Book Synopsis Discrete Choice Methods with Simulation by : Kenneth Train

Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2009-07-06 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Wiser

Author : Cass R. Sunstein
Publisher : Harvard Business Press
ISBN 13 : 1422122999
Total Pages : 274 pages
Book Rating : 4.4/5 (221 download)

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Book Synopsis Wiser by : Cass R. Sunstein

Download or read book Wiser written by Cass R. Sunstein and published by Harvard Business Press. This book was released on 2015 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: "We've all been involved in group decisions--and they're hard. And they often turn out badly. Why? Many blame bad decisions on 'groupthink' without a clear idea of what that term really means. Now, Nudge coauthor Cass Sunstein and leading decision-making scholar Reid Hastie shed light on the specifics of why and how group decisions go wrong--and offer tactics and lessons to help leaders avoid the pitfalls and reach better outcomes"--Dust jacket flap.

Signal Analysis and Prediction

Author : Ales Prochazka
Publisher : Springer Science & Business Media
ISBN 13 : 9780817640422
Total Pages : 536 pages
Book Rating : 4.6/5 (44 download)

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Book Synopsis Signal Analysis and Prediction by : Ales Prochazka

Download or read book Signal Analysis and Prediction written by Ales Prochazka and published by Springer Science & Business Media. This book was released on 1998-12-23 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods of signal analysis represent a broad research topic with applications in many disciplines, including engineering, technology, biomedicine, seismography, eco nometrics, and many others based upon the processing of observed variables. Even though these applications are widely different, the mathematical background be hind them is similar and includes the use of the discrete Fourier transform and z-transform for signal analysis, and both linear and non-linear methods for signal identification, modelling, prediction, segmentation, and classification. These meth ods are in many cases closely related to optimization problems, statistical methods, and artificial neural networks. This book incorporates a collection of research papers based upon selected contri butions presented at the First European Conference on Signal Analysis and Predic tion (ECSAP-97) in Prague, Czech Republic, held June 24-27, 1997 at the Strahov Monastery. Even though the Conference was intended as a European Conference, at first initiated by the European Association for Signal Processing (EURASIP), it was very gratifying that it also drew significant support from other important scientific societies, including the lEE, Signal Processing Society of IEEE, and the Acoustical Society of America. The organizing committee was pleased that the re sponse from the academic community to participate at this Conference was very large; 128 summaries written by 242 authors from 36 countries were received. In addition, the Conference qualified under the Continuing Professional Development Scheme to provide PD units for participants and contributors.

Neural Networks for Identification, Prediction and Control

Author : Duc T. Pham
Publisher : Springer Science & Business Media
ISBN 13 : 1447132440
Total Pages : 243 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Neural Networks for Identification, Prediction and Control by : Duc T. Pham

Download or read book Neural Networks for Identification, Prediction and Control written by Duc T. Pham and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been a growing interest in applying neural networks to dynamic systems identification (modelling), prediction and control. Neural networks are computing systems characterised by the ability to learn from examples rather than having to be programmed in a conventional sense. Their use enables the behaviour of complex systems to be modelled and predicted and accurate control to be achieved through training, without a priori information about the systems' structures or parameters. This book describes examples of applications of neural networks In modelling, prediction and control. The topics covered include identification of general linear and non-linear processes, forecasting of river levels, stock market prices and currency exchange rates, and control of a time-delayed plant and a two-joint robot. These applications employ the major types of neural networks and learning algorithms. The neural network types considered in detail are the muhilayer perceptron (MLP), the Elman and Jordan networks and the Group-Method-of-Data-Handling (GMDH) network. In addition, cerebellar-model-articulation-controller (CMAC) networks and neuromorphic fuzzy logic systems are also presented. The main learning algorithm adopted in the applications is the standard backpropagation (BP) algorithm. Widrow-Hoff learning, dynamic BP and evolutionary learning are also described.

Identifying the Culprit

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309310628
Total Pages : 212 pages
Book Rating : 4.3/5 (93 download)

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Book Synopsis Identifying the Culprit by : National Research Council

Download or read book Identifying the Culprit written by National Research Council and published by National Academies Press. This book was released on 2015-01-16 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Identifying the Culprit: Assessing Eyewitness Identification makes the case that better data collection and research on eyewitness identification, new law enforcement training protocols, standardized procedures for administering line-ups, and improvements in the handling of eyewitness identification in court can increase the chances that accurate identifications are made. This report explains the science that has emerged during the past 30 years on eyewitness identifications and identifies best practices in eyewitness procedures for the law enforcement community and in the presentation of eyewitness evidence in the courtroom. In order to continue the advancement of eyewitness identification research, the report recommends a focused research agenda.

System Identification

Author : Lennart Ljung
Publisher : Pearson Education
ISBN 13 : 0132440539
Total Pages : 875 pages
Book Rating : 4.1/5 (324 download)

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Book Synopsis System Identification by : Lennart Ljung

Download or read book System Identification written by Lennart Ljung and published by Pearson Education. This book was released on 1998-12-29 with total page 875 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field's leading text, now completely updated. Modeling dynamical systems — theory, methodology, and applications. Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-fuzzy modeling. The book contains many new computer-based examples designed for Ljung's market-leading software, System Identification Toolbox for MATLAB. Ljung combines careful mathematics, a practical understanding of real-world applications, and extensive exercises. He introduces both black-box and tailor-made models of linear as well as non-linear systems, and he describes principles, properties, and algorithms for a variety of identification techniques: Nonparametric time-domain and frequency-domain methods. Parameter estimation methods in a general prediction error setting. Frequency domain data and frequency domain interpretations. Asymptotic analysis of parameter estimates. Linear regressions, iterative search methods, and other ways to compute estimates. Recursive (adaptive) estimation techniques. Ljung also presents detailed coverage of the key issues that can make or break system identification projects, such as defining objectives, designing experiments, controlling the bias distribution of transfer-function estimates, and carefully validating the resulting models. The first edition of System Identification has been the field's most widely cited reference for over a decade. This new edition will be the new text of choice for anyone concerned with system identification theory and practice.

Algorithms in Decision Support Systems

Author : Vicente García-Díaz
Publisher : MDPI
ISBN 13 : 3036505881
Total Pages : 162 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Algorithms in Decision Support Systems by : Vicente García-Díaz

Download or read book Algorithms in Decision Support Systems written by Vicente García-Díaz and published by MDPI. This book was released on 2021-03-19 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide a new vision of how algorithms are the core of decision support systems (DSSs), which are increasingly important information systems that help to make decisions related to unstructured and semi-unstructured decision problems that do not have a simple solution from a human point of view. It begins with a discussion of how DSSs will be vital to improving the health of the population. The following article deals with how DSSs can be applied to improve the performance of people doing a specific task, like playing tennis. It continues with a work in which authors apply DSSs to insect pest management, together with an interactive platform for fitting data and carrying out spatial visualization. The next article improves how to reschedule trains whenever disturbances occur, together with an evaluation framework. The final works focus on different relevant areas of DSSs: 1) a comparison of ensemble and dimensionality reduction models based on an entropy criterion; 2) a radar emitter identification method based on semi-supervised and transfer learning; 3) design limitations, errors, and hazards in creating very large-scale DSSs; and 4) efficient rule generation for associative classification. We hope you enjoy all the contents in the book.

Stochastic Systems

Author : P. R. Kumar
Publisher : SIAM
ISBN 13 : 1611974259
Total Pages : 371 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Stochastic Systems by : P. R. Kumar

Download or read book Stochastic Systems written by P. R. Kumar and published by SIAM. This book was released on 2015-12-15 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engineering and in those areas of the social sciences concerned with policy analysis and prescription. These approaches required a computing capacity too expensive for the time, until the ability to collect and process huge quantities of data engendered an explosion of work in the area. This book provides succinct and rigorous treatment of the foundations of stochastic control; a unified approach to filtering, estimation, prediction, and stochastic and adaptive control; and the conceptual framework necessary to understand current trends in stochastic control, data mining, machine learning, and robotics.