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EBookClubs

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Book A First Course in Probability Models and Statistical Inference

Download or read book A First Course in Probability Models and Statistical Inference written by James H.C. Creighton and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to new territory: A course in probability models and statistical inference. The concept of probability is not new to you of course. You've encountered it since childhood in games of chance-card games, for example, or games with dice or coins. And you know about the "90% chance of rain" from weather reports. But once you get beyond simple expressions of probability into more subtle analysis, it's new territory. And very foreign territory it is. You must have encountered reports of statistical results in voter sur veys, opinion polls, and other such studies, but how are conclusions from those studies obtained? How can you interview just a few voters the day before an election and still determine fairly closely how HUN DREDS of THOUSANDS of voters will vote? That's statistics. You'll find it very interesting during this first course to see how a properly designed statistical study can achieve so much knowledge from such drastically incomplete information. It really is possible-statistics works! But HOW does it work? By the end of this course you'll have understood that and much more. Welcome to the enchanted forest.

Book An Introduction to the Doctrine of Fluxions

Download or read book An Introduction to the Doctrine of Fluxions written by Thomas Bayes and published by . This book was released on 1736 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Fallacy of Fine Tuning

Download or read book The Fallacy of Fine Tuning written by Victor J. Stenger and published by Prometheus Books. This book was released on 2011-04-15 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: A number of authors have noted that if some physical parameters were slightly changed, the universe could no longer support life, as we know it. This implies that life depends sensitively on the physics of our universe. Does this "fine-tuning" of the universe suggest that a creator god intentionally calibrated the initial conditions of the universe such that life on earth and the evolution of humanity would eventually emerge? In his in-depth and highly accessible discussion of this fascinating and controversial topic, the author looks at the evidence and comes to the opposite conclusion. He finds that the observations of science and our naked senses not only show no evidence for God, they provide evidence beyond a reasonable doubt that God does not exist.

Book Bayes Or Bust

    Book Details:
  • Author : John Earman
  • Publisher : Bradford Books
  • Release : 1992
  • ISBN : 9780262050463
  • Pages : 272 pages

Download or read book Bayes Or Bust written by John Earman and published by Bradford Books. This book was released on 1992 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is currently no viable alternative to the Bayesian analysis of scientific inference, yet the available versions of Bayesianism fail to do justice to several aspects of the testing and confirmation of scientific hypotheses. Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science. Both Bayesians and anti-Bayesians will find a wealth of new insights on topics ranging from Bayes's original paper to contemporary formal learning theory. In a paper published posthumously in 1763, the Reverend Thomas Bayes made a seminal contribution to the understanding of "analogical or inductive reasoning." Building on his insights, modem Bayesians have developed an account of scientific inference that has attracted numerous champions as well as numerous detractors. Earman argues that Bayesianism provides the best hope for a comprehensive and unified account of scientific inference, yet the presently available versions of Bayesianisin fail to do justice to several aspects of the testing and confirming of scientific theories and hypotheses. By focusing on the need for a resolution to this impasse, Earman sharpens the issues on which a resolution turns. John Earman is Professor of History and Philosophy of Science at the University of Pittsburgh.

Book Most Honourable Remembrance

Download or read book Most Honourable Remembrance written by Andrew I. Dale and published by Springer Science & Business Media. This book was released on 2006-05-07 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Interesting and useful as all this will be for anyone interested in knowing more about Bayes, this is just part of the riches contained in this book . . . Beyond doubt this book is a work of the highest quality in terms of the scholarship it displays, and should be regarded as a must for every mathematical library." --MAA ONLINE

Book Bayesian Modeling and Computation in Python

Download or read book Bayesian Modeling and Computation in Python written by Osvaldo A. Martin and published by CRC Press. This book was released on 2021-12-28 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying mathematical theory. The book starts with a refresher of the Bayesian Inference concepts. The second chapter introduces modern methods for Exploratory Analysis of Bayesian Models. With an understanding of these two fundamentals the subsequent chapters talk through various models including linear regressions, splines, time series, Bayesian additive regression trees. The final chapters include Approximate Bayesian Computation, end to end case studies showing how to apply Bayesian modelling in different settings, and a chapter about the internals of probabilistic programming languages. Finally the last chapter serves as a reference for the rest of the book by getting closer into mathematical aspects or by extending the discussion of certain topics. This book is written by contributors of PyMC3, ArviZ, Bambi, and Tensorflow Probability among other libraries.

Book An Introduction to Transfer Entropy

Download or read book An Introduction to Transfer Entropy written by Terry Bossomaier and published by Springer. This book was released on 2016-11-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers a relatively new metric in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present information theory and transfer entropy in depth. A key feature of the approach is the authors' work to show the relationship between information flow and complexity. The later chapters demonstrate information transfer in canonical systems, and applications, for example in neuroscience and in finance. The book will be of value to advanced undergraduate and graduate students and researchers in the areas of computer science, neuroscience, physics, and engineering.

Book Bayesian Theory

    Book Details:
  • Author : José M. Bernardo
  • Publisher : John Wiley & Sons
  • Release : 2009-09-25
  • ISBN : 047031771X
  • Pages : 608 pages

Download or read book Bayesian Theory written by José M. Bernardo and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion of the problem of specification of so-called prior ignorance . The work is written from the authors s committed Bayesian perspective, but an overview of non-Bayesian theories is also provided, and each chapter contains a wide-ranging critical re-examination of controversial issues. The level of mathematics used is such that most material is accessible to readers with knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics. The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics

Book Cautionary Tales in Designed Experiments

Download or read book Cautionary Tales in Designed Experiments written by David S. Salsburg and published by . This book was released on 2020-09-28 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: The beauty of DOE is about learning--from mistakes, from trying new things, and from working with others. Cautionary Tales in Designed Experiments aims to explain statistical design of experiments (DOE), Ronald Fisher's great innovation, to readers with minimal mathematical knowledge and skills. The book starts with historical examples and goes on to cover missteps, mismanaged experiments, learnings, the importance of randomization, and more. In later chapters, the book covers more statistical concepts, such as various designs for experiments, analysis of variance, Bayes' theorem in DOE, measurement, and when experiments fail. The book concludes by citing the ubiquity of statistical design of experiments.

Book A Rulebook for Decision Making

Download or read book A Rulebook for Decision Making written by George Pullman and published by Hackett Publishing. This book was released on 2015-03-05 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Pullman offers his readers essential insights into how humans reason and make decisions. Both concise and far-reaching, his work teaches us how to challenge intuitive logic and examine the processes for deliberative reasoning. This text will prove foundational for students in their intellectual journey toward the development of real skills in critical thinking. By pointing to simple yet profound examples, Pullman's text is both readable and provocative as it challenges us to consider the very mechanisms by which we understand our own cognitive biases." --Bradley A. Hammer, Department of English and Comparative Literature, University of North Carolina, Chapel Hill

Book Horizons of Cosmology

    Book Details:
  • Author : Joseph Silk
  • Publisher : Templeton Foundation Press
  • Release : 2011-04-01
  • ISBN : 159947364X
  • Pages : 225 pages

Download or read book Horizons of Cosmology written by Joseph Silk and published by Templeton Foundation Press. This book was released on 2011-04-01 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Horizons of Cosmology: Exploring Worlds Seen and Unseen is the fourth title published in the Templeton Science and Religion Series, in which scientists from a wide range of fields distill their experience and knowledge into brief tours of their respective specialties. In this volume, highly esteemed astrophysicist Joseph Silk explores the vast mysteries and speculations of the field of cosmology in a way that balances an accessible style for the general reader and enough technical detail for advanced students and professionals. Indeed, while the physical laws and origins of the universe can be endlessly complex, even Einstein once mused that they could be explained simply enough to be grasped by nonspecialists. To that end Silk begins by introducing the basic story of the major discoveries in cosmology over the past century—wherein we learned that we live in an expanding universe populated with galaxies and stars. The middle chapters examine a number of contemporary puzzles such as dark matter and dark energy. The last third of the book looks at the human side of cosmology and moves to the more philosophical frontiers of the field, such as concepts of multiverses and time travel—areas of exploration where some crossover into speculative territory becomes unavoidable. In the past century alone, our understanding of the universe has expanded exponentially, and it will be fascinating to see what discoveries the next hundred years hold. Few books will provide such a thorough understanding of where we have been and what might lie ahead as Horizons of Cosmology.

Book The National Union Catalog  Pre 1956 Imprints

Download or read book The National Union Catalog Pre 1956 Imprints written by Library of Congress and published by . This book was released on 1969 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Invasive Species

    Book Details:
  • Author : Andrew P. Robinson
  • Publisher : Cambridge University Press
  • Release : 2017-06-08
  • ISBN : 1108158285
  • Pages : 427 pages

Download or read book Invasive Species written by Andrew P. Robinson and published by Cambridge University Press. This book was released on 2017-06-08 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: With climate change and increasing globalisation of trade and travel, the risks presented by invasive pests and pathogens to natural environments, agriculture and economies have never been greater, and are only increasing with time. Governments world-wide are responding to these increased threats by strengthening quarantine and biosecurity. This book presents a comprehensive review of risk-based techniques that help policy makers and regulators protect national interests from invasive pests and pathogens before, at, and inside national borders. Selected from the research corpus of the Centre of Excellence for Biosecurity Risk Analysis at the University of Melbourne, this book provides solutions that reflect scientific rigour coupled with practical, hands-on applications. Focusing on surveillance, stochastic modelling, intelligence gathering, decision making and risk communication, the contents combine the strengths of risk analysts, mathematicians, economists, biologists and statisticians. The book presents tested scientific solutions to the greatest challenges faced by quarantine and biosecurity policy makers and regulators today.

Book The Britannica Guide to Statistics and Probability

Download or read book The Britannica Guide to Statistics and Probability written by Britannica Educational Publishing and published by Britannica Educational Publishing. This book was released on 2010-04-01 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: By observing patterns and repeated behaviors, mathematicians have devised calculations to significantly reduce human potential for error. This volume introduces the historical and mathematical basis of statistics and probability as well as their application to everyday situations. Readers will also meet the prominent thinkers who advanced the field and established a numerical basis for prediction.

Book Machine Learning   A Journey To Deep Learning  With Exercises And Answers

Download or read book Machine Learning A Journey To Deep Learning With Exercises And Answers written by Andreas Miroslaus Wichert and published by World Scientific. This book was released on 2021-01-26 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students.Related Link(s)

Book Software Engineering And Information Technology   Proceedings Of The 2015 International Conference  Seit2015

Download or read book Software Engineering And Information Technology Proceedings Of The 2015 International Conference Seit2015 written by Xiaolong Li and published by World Scientific. This book was released on 2015-12-17 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of sixty-seven selected papers presented at the 2015 International Conference on Software Engineering and Information Technology (SEIT2015), which was held in Guilin, Guangxi, China during June 26-28, 2015. The SEIT2015 has been an important event and has attracted many scientists, engineers and researchers from academia, government laboratories and industry internationally. The papers in this book were selected after rigorous review.SEIT2015 focuses on six main areas, namely, Information Technology, Computer Intelligence and Computer Applications, Algorithm and Simulation, Signal and Image Processing, Electrical Engineering and Software Engineering. SEIT2015 aims to provide a platform for the global researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.This conference has been a valuable opportunity for researchers to share their knowledge and results in theory, methodology and applications of Software Engineering and Information Technology.

Book Bayesian Scientific Computing

Download or read book Bayesian Scientific Computing written by Daniela Calvetti and published by Springer Nature. This book was released on 2023-03-09 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: The once esoteric idea of embedding scientific computing into a probabilistic framework, mostly along the lines of the Bayesian paradigm, has recently enjoyed wide popularity and found its way into numerous applications. This book provides an insider’s view of how to combine two mature fields, scientific computing and Bayesian inference, into a powerful language leveraging the capabilities of both components for computational efficiency, high resolution power and uncertainty quantification ability. The impact of Bayesian scientific computing has been particularly significant in the area of computational inverse problems where the data are often scarce or of low quality, but some characteristics of the unknown solution may be available a priori. The ability to combine the flexibility of the Bayesian probabilistic framework with efficient numerical methods has contributed to the popularity of Bayesian inversion, with the prior distribution being the counterpart of classical regularization. However, the interplay between Bayesian inference and numerical analysis is much richer than providing an alternative way to regularize inverse problems, as demonstrated by the discussion of time dependent problems, iterative methods, and sparsity promoting priors in this book. The quantification of uncertainty in computed solutions and model predictions is another area where Bayesian scientific computing plays a critical role. This book demonstrates that Bayesian inference and scientific computing have much more in common than what one may expect, and gradually builds a natural interface between these two areas.