The Design Inference
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The Design Inference
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Author : William A. Dembski
language : en
Publisher: Cambridge University Press
Release Date : 1998-09-13
The Design Inference written by William A. Dembski and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-13 with Mathematics categories.
This book presents a reliable method for detecting intelligent causes: the design inference.The design inference uncovers intelligent causes by isolating the key trademark of intelligent causes: specified events of small probability. Design inferences can be found in a range of scientific pursuits from forensic science to research into the origins of life to the search for extraterrestrial intelligence. This challenging and provocative book shows how incomplete undirected causes are for science and breathes new life into classical design arguments. It will be read with particular interest by philosophers of science and religion, other philosophers concerned with epistemology and logic, probability and complexity theorists, and statisticians.
The Design Inference
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Author : William A Dembski
language : en
Publisher:
Release Date : 2014-05-14
The Design Inference written by William A Dembski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with categories.
This 1998 book breathes new life into classical design arguments, showing how incomplete undirected causes are for science.
The Design Revolution
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Author : William A. Dembski
language : en
Publisher:
Release Date : 2004
The Design Revolution written by William A. Dembski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Philosophy categories.
Written by a noted expert on and popular advocate of intelligent design, this book explores more than 60 of the toughest questions asked by experts and non-experts.
Intelligent Design
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Author : William A. Dembski
language : en
Publisher: InterVarsity Press
Release Date : 2002-07-12
Intelligent Design written by William A. Dembski and has been published by InterVarsity Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-07-12 with Religion categories.
In this book William A. Dembski brilliantly argues that intelligent design provides a crucial link between science and theology. This is a pivotal work from a thinker whom Phillip Johnson calls "one of the most important of the `design' theorists."
Intelligent Design Uncensored
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Author : William A. Dembski
language : en
Publisher: InterVarsity Press
Release Date : 2010-04-07
Intelligent Design Uncensored written by William A. Dembski and has been published by InterVarsity Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-07 with Religion categories.
What is ID? Why is it controversial? Intelligent design is surrounded by a storm of debate. Proponents and opponents have both sought to have their voices heard above the din. Is it unscientific? Is it a danger to real Christian faith? Is it trying to smuggle God into the classroom? Controversy can create confusion rather than clarity. So here to clear things up is Bill Dembski, one of the founders of intelligent design, who joins with Jonathan Witt to answer these questions and more.
Information Theory Inference And Learning Algorithms
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Author : David J. C. MacKay
language : en
Publisher: Cambridge University Press
Release Date : 2003-09-25
Information Theory Inference And Learning Algorithms written by David J. C. MacKay and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-25 with Computers categories.
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.
Signs Of Intelligence
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Author : William Dembski
language : en
Publisher: Brazos Press
Release Date : 2001-03
Signs Of Intelligence written by William Dembski and has been published by Brazos Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-03 with Religion categories.
A collection of fourteen essays which provide an overview of the argument for intelligent design, with diagrams, explanations, and relevant quotations.
Causal Inference
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Author : Scott Cunningham
language : en
Publisher: Yale University Press
Release Date : 2021-01-26
Causal Inference written by Scott Cunningham and has been published by Yale University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-26 with Business & Economics categories.
An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.
Network Tomography
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Author : Ting He
language : en
Publisher: Cambridge University Press
Release Date : 2021-05-27
Network Tomography written by Ting He and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-27 with Computers categories.
A rigorous yet accessible treatment of the fundamental theory and algorithms of network tomography.
Designing Social Inquiry
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Author : Gary King
language : en
Publisher: Princeton University Press
Release Date : 1994-05-22
Designing Social Inquiry written by Gary King and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-05-22 with Social Science categories.
Designing Social Inquiry focuses on improving qualitative research, where numerical measurement is either impossible or undesirable. What are the right questions to ask? How should you define and make inferences about causal effects? How can you avoid bias? How many cases do you need, and how should they be selected? What are the consequences of unavoidable problems in qualitative research, such as measurement error, incomplete information, or omitted variables? What are proper ways to estimate and report the uncertainty of your conclusions?