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Author: R. Michael Alvarez
Publisher: Cambridge University Press
ISBN: 1316531287
Category : Political Science
Languages : en
Pages : 339
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Book Description
Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.
Author: R. Michael Alvarez
Publisher: Cambridge University Press
ISBN: 1316531287
Category : Political Science
Languages : en
Pages : 339
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Book Description
Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.
Author: Kao-Tai Tsai
Publisher: CRC Press
ISBN: 100045035X
Category : Business & Economics
Languages : en
Pages : 267
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Book Description
Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes many recent supervised and unsupervised machine learning methodologies such as recursive partitioning modelling, regularized regression, support vector machine, neural network, clustering, and causal-effect inference. Additionally, it emphasizes statistical thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world data examples from life-science, finance, etc. to illustrate the applications of the methods described therein. Key Features: Contains statistical theory for the most recent supervised and unsupervised machine learning methodologies. Emphasizes broad statistical thinking, judgment, graphical methods, and collaboration with subject-matter-experts in analysis, interpretation, and presentations. Written by statistical data analysis practitioner for practitioners. The book is suitable for upper-level-undergraduate or graduate-level data analysis course. It also serves as a useful desk-reference for data analysts in scientific research or industrial applications.
Author: Clark N. Glymour
Publisher:
ISBN: 9780262315821
Category : Causation
Languages : en
Pages :
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Book Description
Author: Peter Spirtes
Publisher: Springer Science & Business Media
ISBN: 1461227488
Category : Mathematics
Languages : en
Pages : 551
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Book Description
This book is intended for anyone, regardless of discipline, who is interested in the use of statistical methods to help obtain scientific explanations or to predict the outcomes of actions, experiments or policies. Much of G. Udny Yule's work illustrates a vision of statistics whose goal is to investigate when and how causal influences may be reliably inferred, and their comparative strengths estimated, from statistical samples. Yule's enterprise has been largely replaced by Ronald Fisher's conception, in which there is a fundamental cleavage between experimental and non experimental inquiry, and statistics is largely unable to aid in causal inference without randomized experimental trials. Every now and then members of the statistical community express misgivings about this turn of events, and, in our view, rightly so. Our work represents a return to something like Yule's conception of the enterprise of theoretical statistics and its potential practical benefits. If intellectual history in the 20th century had gone otherwise, there might have been a discipline to which our work belongs. As it happens, there is not. We develop material that belongs to statistics, to computer science, and to philosophy; the combination may not be entirely satisfactory for specialists in any of these subjects. We hope it is nonetheless satisfactory for its purpose.
Author: Amanda Guillán
Publisher: Springer
ISBN: 3319630431
Category : Science
Languages : en
Pages : 336
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Book Description
This monograph analyzes Nicholas Rescher’s system of pragmatic idealism. It also looks at his approach to prediction in science. Coverage highlights a prominent contribution to a central topic in the philosophy and methodology of science. The author offers a full characterization of Rescher’s system of philosophy. She presents readers with a comprehensive philosophico-methodological analysis of this important work. Her research takes into account different thematic realms: semantic, logical, epistemological, methodological, ontological, axiological, and ethical. The book features three, thematic-parts: I) General Coordinates, Semantic Features and Logical Components of Scientific Prediction; II) Predictive Knowledge and Predictive Processes in Rescher’s Methodological Pragmatism; and III) From Reality to Values: Ontological Features, Axiological Elements, and Ethical Aspects of Scientific Prediction. This insightful analysis offers a critical reconstruction of Rescher’s philosophy. The system he created is often characterized as pragmatic idealism that is open to some realist elements. He is a prominent representative of contemporary pragmatism who has made a great deal of contributions to the study of this topic. This area is crucial for science and it has been little considered in the philosophy of science.
Author: Duru Shah
Publisher: JP Medical Ltd
ISBN: 9350904446
Category : Health & Fitness
Languages : en
Pages : 257
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Book Description
Clinical Progress in Obstetrics and Gynecology brings clinicians and postgraduates fully up to date with the latest developments and research in the field. Each topic is presented in a step by step, easy to read manner, with a detailed overview of the condition, diagnosis and treatment options. Each chapter includes a comprehensive reference section. In addition to discussion on conditions encountered in day to day practice, the book also covers offbeat topics including domestic violence against women, third party reproduction, surgical mesh in urogynaecology and tuberculosis in pregnancy. With contributions from recognised specialists in the UK, USA, Australia and India, this useful resource includes numerous photographs, tables and illustrations to enhance learning. Key points Easy to read resource bringing clinicians and postgraduates up to date with latest developments in obstetrics and gynaecology Chapters presented in step by step manner Covers day to day conditions and offbeat topics International author and editor team Includes nearly 80 photographs, tables and illustrations
Author: Walter Libby
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 324
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Book Description
Author: Fabrizio Cariani
Publisher: Cambridge University Press
ISBN: 1108571468
Category : Philosophy
Languages : en
Pages : 319
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Book Description
It is commonly assumed that we conceive of the past and the future as symmetrical. In this book, Fabrizio Cariani develops a new theory of future-directed discourse and thought that shows that our linguistic and philosophical conceptions of the past and future are, in fact, fundamentally different. Future thought and talk, Cariani suggests, are best understood in terms of a systematic analogy with counterfactual thought and talk, and are not just mirror images of the past. Cariani makes this case by developing detailed formal semantic theories as well as by advancing less technical views about the nature of future-directed judgment and prediction. His book addresses in a thought-provoking way several important debates in contemporary philosophy, and his synthesis of parallel threads of research will benefit scholars in the philosophy of language, metaphysics, epistemology, linguistics and cognitive science.
Author: Li Di
Publisher: Academic Press
ISBN: 0128013222
Category : Medical
Languages : en
Pages : 582
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Book Description
Of the thousands of novel compounds that a drug discovery project team invents and that bind to the therapeutic target, only a fraction have sufficient ADME (absorption, distribution, metabolism, elimination) properties, and acceptable toxicology properties, to become a drug product that will successfully complete human Phase I clinical trials. Drug-Like Properties: Concepts, Structure Design and Methods from ADME to Toxicity Optimization, Second Edition, provides scientists and students the background and tools to understand, discover, and develop optimal clinical candidates. This valuable resource explores physiochemical properties, including solubility and permeability, before exploring how compounds are absorbed, distributed, and metabolized safely and stably. Review chapters provide context and underscore the importance of key concepts such as pharmacokinetics, toxicity, the blood-brain barrier, diagnosing drug limitations, prodrugs, and formulation. Building on those foundations, this thoroughly updated revision covers a wide variety of current methods for the screening (high throughput), diagnosis (medium throughput) and in-depth (low throughput) analysis of drug properties for process and product improvement. From conducting key assays for interpretation and structural analysis, the reader learns to implement modification methods and improve each ADME property. Through valuable case studies, structure-property relationship descriptions, and structure modification strategies, Drug-Like Properties, Second Edition, offers tools and methods for ADME/Tox scientists through all aspects of drug research, discovery, design, development, and optimization. - Provides a comprehensive and valuable working handbook for scientists and students in medicinal chemistry - Includes expanded coverage of pharmacokinetics fundamentals and effects - Contains updates throughout, including the authors' recent work in the importance of solubility in drug development; new and currently used property methods, with a reduction of seldom-used methods; and exploration of computational modeling methods
Author: Jun-Mo Kim
Publisher: Frontiers Media SA
ISBN: 2832539130
Category : Medical
Languages : en
Pages : 141
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Book Description
