Randomness And Hyper Randomness

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Randomness and Hyper-randomness

Author : Igor I. Gorban
Publisher : Springer
ISBN 13 : 3319607804
Total Pages : 240 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Randomness and Hyper-randomness by : Igor I. Gorban

Download or read book Randomness and Hyper-randomness written by Igor I. Gorban and published by Springer. This book was released on 2017-08-31 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The monograph compares two approaches that describe the statistical stability phenomenon – one proposed by the probability theory that ignores violations of statistical stability and another proposed by the theory of hyper-random phenomena that takes these violations into account. There are five parts. The first describes the phenomenon of statistical stability. The second outlines the mathematical foundations of probability theory. The third develops methods for detecting violations of statistical stability and presents the results of experimental research on actual processes of different physical nature that demonstrate the violations of statistical stability over broad observation intervals. The fourth part outlines the mathematical foundations of the theory of hyper-random phenomena. The fifth part discusses the problem of how to provide an adequate description of the world. The monograph should be interest to a wide readership: from university students on a first course majoring in physics, engineering, and mathematics to engineers, post-graduate students, and scientists carrying out research on the statistical laws of natural physical phenomena, developing and using statistical methods for high-precision measurement, prediction, and signal processing over broad observation intervals. To read the book, it is sufficient to be familiar with a standard first university course on mathematics.

The Drunkard's Walk

Author : Leonard Mlodinow
Publisher : Vintage
ISBN 13 : 0307377547
Total Pages : 226 pages
Book Rating : 4.3/5 (73 download)

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Book Synopsis The Drunkard's Walk by : Leonard Mlodinow

Download or read book The Drunkard's Walk written by Leonard Mlodinow and published by Vintage. This book was released on 2008-05-13 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: NATIONAL BESTSELLER • From the classroom to the courtroom and from financial markets to supermarkets, an intriguing and illuminating look at how randomness, chance, and probability affect our daily lives that will intrigue, awe, and inspire. “Mlodinow writes in a breezy style, interspersing probabilistic mind-benders with portraits of theorists.... The result is a readable crash course in randomness.” —The New York Times Book Review With the born storyteller's command of narrative and imaginative approach, Leonard Mlodinow vividly demonstrates how our lives are profoundly informed by chance and randomness and how everything from wine ratings and corporate success to school grades and political polls are less reliable than we believe. By showing us the true nature of chance and revealing the psychological illusions that cause us to misjudge the world around us, Mlodinow gives us the tools we need to make more informed decisions. From the classroom to the courtroom and from financial markets to supermarkets, Mlodinow's intriguing and illuminating look at how randomness, chance, and probability affect our daily lives will intrigue, awe, and inspire.

Fundamentals of Applied Probability and Random Processes

Author : Oliver Ibe
Publisher : Academic Press
ISBN 13 : 0128010355
Total Pages : 457 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Fundamentals of Applied Probability and Random Processes by : Oliver Ibe

Download or read book Fundamentals of Applied Probability and Random Processes written by Oliver Ibe and published by Academic Press. This book was released on 2014-06-13 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study. - Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings - Expands readers' understanding of disruptive statistics in a new chapter (chapter 8) - Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts. - Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).

Hands-On Machine Learning with R

Author : Brad Boehmke
Publisher : CRC Press
ISBN 13 : 1000730433
Total Pages : 373 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Hands-On Machine Learning with R by : Brad Boehmke

Download or read book Hands-On Machine Learning with R written by Brad Boehmke and published by CRC Press. This book was released on 2019-11-07 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.

Algorithmic Randomness and Complexity

Author : Rodney G. Downey
Publisher : Springer Science & Business Media
ISBN 13 : 0387684417
Total Pages : 883 pages
Book Rating : 4.3/5 (876 download)

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Book Synopsis Algorithmic Randomness and Complexity by : Rodney G. Downey

Download or read book Algorithmic Randomness and Complexity written by Rodney G. Downey and published by Springer Science & Business Media. This book was released on 2010-10-29 with total page 883 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computability and complexity theory are two central areas of research in theoretical computer science. This book provides a systematic, technical development of "algorithmic randomness" and complexity for scientists from diverse fields.

Complexity and Randomness in Group Theory

Author : Frédérique Bassino
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110667029
Total Pages : 386 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Complexity and Randomness in Group Theory by : Frédérique Bassino

Download or read book Complexity and Randomness in Group Theory written by Frédérique Bassino and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-06-08 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detailed Description

Algorithmic Learning in a Random World

Author : Vladimir Vovk
Publisher : Springer Nature
ISBN 13 : 3031066499
Total Pages : 490 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Algorithmic Learning in a Random World by : Vladimir Vovk

Download or read book Algorithmic Learning in a Random World written by Vladimir Vovk and published by Springer Nature. This book was released on 2022-12-13 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s. The main feature of conformal prediction is the principled treatment of the reliability of predictions. The prediction algorithms described — conformal predictors — are provably valid in the sense that they evaluate the reliability of their own predictions in a way that is neither over-pessimistic nor over-optimistic (the latter being especially dangerous). The approach is still flexible enough to incorporate most of the existing powerful methods of machine learning. The book covers both key conformal predictors and the mathematical analysis of their properties. Algorithmic Learning in a Random World contains, in addition to proofs of validity, results about the efficiency of conformal predictors. The only assumption required for validity is that of "randomness" (the prediction algorithm is presented with independent and identically distributed examples); in later chapters, even the assumption of randomness is significantly relaxed. Interesting results about efficiency are established both under randomness and under stronger assumptions. Since publication of the First Edition in 2005 conformal prediction has found numerous applications in medicine and industry, and is becoming a popular machine-learning technique. This Second Edition contains three new chapters. One is about conformal predictive distributions, which are more informative than the set predictions produced by standard conformal predictors. Another is about the efficiency of ways of testing the assumption of randomness based on conformal prediction. The third new chapter harnesses conformal testing procedures for protecting machine-learning algorithms against changes in the distribution of the data. In addition, the existing chapters have been revised, updated, and expanded.

The Statistical Stability Phenomenon

Author : Igor I. Gorban
Publisher : Springer
ISBN 13 : 331943585X
Total Pages : 349 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis The Statistical Stability Phenomenon by : Igor I. Gorban

Download or read book The Statistical Stability Phenomenon written by Igor I. Gorban and published by Springer. This book was released on 2016-10-17 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph investigates violations of statistical stability of physical events, variables, and processes and develops a new physical-mathematical theory taking into consideration such violations – the theory of hyper-random phenomena. There are five parts. The first describes the phenomenon of statistical stability and its features, and develops methods for detecting violations of statistical stability, in particular when data is limited. The second part presents several examples of real processes of different physical nature and demonstrates the violation of statistical stability over broad observation intervals. The third part outlines the mathematical foundations of the theory of hyper-random phenomena, while the fourth develops the foundations of the mathematical analysis of divergent and many-valued functions. The fifth part contains theoretical and experimental studies of statistical laws where there is violation of statistical stability. The monograph should be of particular interest to engineers and scientists in general who study the phenomenon of statistical stability and use statistical methods for high-precision measurements, prediction, and signal processing over long observation intervals.

What Is Random?

Author : Edward Beltrami
Publisher : Springer Science & Business Media
ISBN 13 : 1461214726
Total Pages : 218 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis What Is Random? by : Edward Beltrami

Download or read book What Is Random? written by Edward Beltrami and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this fascinating book, mathematician Ed Beltrami takes a close enough look at randomness to make it mysteriously disappear. The results of coin tosses, it turns out, are determined from the start, and only our incomplete knowledge makes them look random. "Random" sequences of numbers are more elusive, but Godels undecidability theorem informs us that we will never know. Those familiar with quantum indeterminacy assert that order is an illusion, and that the world is fundamentally random. Yet randomness is also an illusion. Perhaps order and randomness, like waves and particles, are only two sides of the same (tossed) coin.

Randomness Through Computation: Some Answers, More Questions

Author : Hector Zenil
Publisher : World Scientific
ISBN 13 : 9814462632
Total Pages : 439 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Randomness Through Computation: Some Answers, More Questions by : Hector Zenil

Download or read book Randomness Through Computation: Some Answers, More Questions written by Hector Zenil and published by World Scientific. This book was released on 2011-02-11 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This review volume consists of a set of chapters written by leading scholars, most of them founders of their fields. It explores the connections of Randomness to other areas of scientific knowledge, especially its fruitful relationship to Computability and Complexity Theory, and also to areas such as Probability, Statistics, Information Theory, Biology, Physics, Quantum Mechanics, Learning Theory and Artificial Intelligence. The contributors cover these topics without neglecting important philosophical dimensions, sometimes going beyond the purely technical to formulate age old questions relating to matters such as determinism and free will.The scope of Randomness Through Computation is novel. Each contributor shares their personal views and anecdotes on the various reasons and motivations which led them to the study of Randomness. Using a question and answer format, they share their visions from their several distinctive vantage points.

Microstructural Randomness and Scaling in Mechanics of Materials

Author : Martin Ostoja-Starzewski
Publisher : CRC Press
ISBN 13 : 1420010271
Total Pages : 500 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Microstructural Randomness and Scaling in Mechanics of Materials by : Martin Ostoja-Starzewski

Download or read book Microstructural Randomness and Scaling in Mechanics of Materials written by Martin Ostoja-Starzewski and published by CRC Press. This book was released on 2007-08-13 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: An area at the intersection of solid mechanics, materials science, and stochastic mathematics, mechanics of materials often necessitates a stochastic approach to grasp the effects of spatial randomness. Using this approach, Microstructural Randomness and Scaling in Mechanics of Materials explores numerous stochastic models and methods used in the m

Cycle Index of Uncertain Random Graph

Author : Lin Chen
Publisher : Infinite Study
ISBN 13 :
Total Pages : 11 pages
Book Rating : 4./5 ( download)

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Book Synopsis Cycle Index of Uncertain Random Graph by : Lin Chen

Download or read book Cycle Index of Uncertain Random Graph written by Lin Chen and published by Infinite Study. This book was released on with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing of the complexity of a system, there is a variety of indeterminacy in the practical applications of graph theory. We focus on uncertain random graph, in which some edges exist with degrees in probability measure and others exist with degrees in uncertain measure. In this paper, the chance theory is applied to construct the cycle index of an uncertain random graph. Then a method to calculate the cycle index of an uncertain random graph is presented. We also discuss some properties of the cycle index.

Random Vibration - Status and Recent Developments

Author : I. Elishakoff
Publisher : Elsevier
ISBN 13 : 1483289958
Total Pages : 586 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Random Vibration - Status and Recent Developments by : I. Elishakoff

Download or read book Random Vibration - Status and Recent Developments written by I. Elishakoff and published by Elsevier. This book was released on 2013-10-22 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book commemorates the 65th birthday of Stephen H. Crandall - one of the founding fathers and most active developers and elucidators of the science of random vibrations. Leading scientists from all over the world have contributed 33 papers addressing almost every important problem of random vibrations. The book thus represents both the state-of-the-art as well as the most recent developments, and will appeal to those in industry and academia who want to achieve a rigorous understanding of the many facets of the subject. A thorough study of the book will also help lay the foundations for future directions in research.

Probability on Graphs

Author : Geoffrey Grimmett
Publisher : Cambridge University Press
ISBN 13 : 1108542999
Total Pages : 279 pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Probability on Graphs by : Geoffrey Grimmett

Download or read book Probability on Graphs written by Geoffrey Grimmett and published by Cambridge University Press. This book was released on 2018-01-25 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to some of the principal models in the theory of disordered systems leads the reader through the basics, to the very edge of contemporary research, with the minimum of technical fuss. Topics covered include random walk, percolation, self-avoiding walk, interacting particle systems, uniform spanning tree, random graphs, as well as the Ising, Potts, and random-cluster models for ferromagnetism, and the Lorentz model for motion in a random medium. This new edition features accounts of major recent progress, including the exact value of the connective constant of the hexagonal lattice, and the critical point of the random-cluster model on the square lattice. The choice of topics is strongly motivated by modern applications, and focuses on areas that merit further research. Accessible to a wide audience of mathematicians and physicists, this book can be used as a graduate course text. Each chapter ends with a range of exercises.

Introduction to Random Graphs

Author : Alan Frieze
Publisher : Cambridge University Press
ISBN 13 : 1107118506
Total Pages : 483 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Introduction to Random Graphs by : Alan Frieze

Download or read book Introduction to Random Graphs written by Alan Frieze and published by Cambridge University Press. This book was released on 2016 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text covers random graphs from the basic to the advanced, including numerous exercises and recommendations for further reading.

Recursion Theory

Author : Chi Tat Chong
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110275643
Total Pages : 322 pages
Book Rating : 4.1/5 (12 download)

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Book Synopsis Recursion Theory by : Chi Tat Chong

Download or read book Recursion Theory written by Chi Tat Chong and published by Walter de Gruyter GmbH & Co KG. This book was released on 2015-08-17 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents recursion theory from a generalized point of view centered on the computational aspects of definability. A major theme is the study of the structures of degrees arising from two key notions of reducibility, the Turing degrees and the hyperdegrees, using techniques and ideas from recursion theory, hyperarithmetic theory, and descriptive set theory. The emphasis is on the interplay between recursion theory and set theory, anchored on the notion of definability. The monograph covers a number of fundamental results in hyperarithmetic theory as well as some recent results on the structure theory of Turing and hyperdegrees. It also features a chapter on the applications of these investigations to higher randomness.

Disintermediation Economics

Author : Eva Kaili
Publisher : Springer Nature
ISBN 13 : 3030657817
Total Pages : 339 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Disintermediation Economics by : Eva Kaili

Download or read book Disintermediation Economics written by Eva Kaili and published by Springer Nature. This book was released on 2021-06-29 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a coherent Blockchain framework for the business community, governments, and universities structured around microeconomics, macroeconomics, finance, and political economy and identifies how business organizations, financial markets and governmental policies are changed by digitalization, specifically Blockchain. This framework, what they authors call “disintermediation economics,” affects everything by providing a paradigm that transforms the way we organize markets and value chains, financial services, central banking, budgetary policies, innovation ecosystems, government services, and civil society. Bringing together leading and experienced policy makers, corporate practitioners, and academics from top universities, this book offers a road map of best practices that can be immediately useful to firms, policy makers as well as academics by balancing theory with practice.