[PDF] Comparisons Of Stochastic Matrices With Applications In Information Theory Statistics Economics And Population - eBooks Review

Comparisons Of Stochastic Matrices With Applications In Information Theory Statistics Economics And Population


Comparisons Of Stochastic Matrices With Applications In Information Theory Statistics Economics And Population
DOWNLOAD

Download Comparisons Of Stochastic Matrices With Applications In Information Theory Statistics Economics And Population PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Comparisons Of Stochastic Matrices With Applications In Information Theory Statistics Economics And Population book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page





Comparisons Of Stochastic Matrices With Applications In Information Theory Statistics Economics And Population


Comparisons Of Stochastic Matrices With Applications In Information Theory Statistics Economics And Population
DOWNLOAD
Author : JOEL COHEN
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-09-29

Comparisons Of Stochastic Matrices With Applications In Information Theory Statistics Economics And Population written by JOEL COHEN and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-29 with Mathematics categories.


Some of the possible implications among these comparisons remain open questions. The results in this book establish a new field of investigation for both mathematicians and scientific users interested in the variations among multiple probability distributions.



Convexity And Concentration


Convexity And Concentration
DOWNLOAD
Author : Eric Carlen
language : en
Publisher: Springer
Release Date : 2017-04-20

Convexity And Concentration written by Eric Carlen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-20 with Mathematics categories.


This volume presents some of the research topics discussed at the 2014-2015 Annual Thematic Program Discrete Structures: Analysis and Applications at the Institute of Mathematics and its Applications during the Spring 2015 where geometric analysis, convex geometry and concentration phenomena were the focus. Leading experts have written surveys of research problems, making state of the art results more conveniently and widely available. The volume is organized into two parts. Part I contains those contributions that focus primarily on problems motivated by probability theory, while Part II contains those contributions that focus primarily on problems motivated by convex geometry and geometric analysis. This book will be of use to those who research convex geometry, geometric analysis and probability directly or apply such methods in other fields.



Reality And Measurement In Algebraic Quantum Theory


Reality And Measurement In Algebraic Quantum Theory
DOWNLOAD
Author : Masanao Ozawa
language : en
Publisher: Springer
Release Date : 2018-11-02

Reality And Measurement In Algebraic Quantum Theory written by Masanao Ozawa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-02 with Mathematics categories.


This volume contains papers based on presentations at the “Nagoya Winter Workshop 2015: Reality and Measurement in Algebraic Quantum Theory (NWW 2015)”, held in Nagoya, Japan, in March 2015. The foundations of quantum theory have been a source of mysteries, puzzles, and confusions, and have encouraged innovations in mathematical languages to describe, analyze, and delineate this wonderland. Both ontological and epistemological questions about quantum reality and measurement have been placed in the center of the mysteries explored originally by Bohr, Heisenberg, Einstein, and Schrödinger. This volume describes how those traditional problems are nowadays explored from the most advanced perspectives. It includes new research results in quantum information theory, quantum measurement theory, information thermodynamics, operator algebraic and category theoretical foundations of quantum theory, and the interplay between experimental and theoretical investigations on the uncertainty principle. This book is suitable for a broad audience of mathematicians, theoretical and experimental physicists, and philosophers of science.



Information Decomposition Of Target Effects From Multi Source Interactions


Information Decomposition Of Target Effects From Multi Source Interactions
DOWNLOAD
Author : Joseph Lizier
language : en
Publisher: MDPI
Release Date : 2018-09-04

Information Decomposition Of Target Effects From Multi Source Interactions written by Joseph Lizier and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-04 with categories.


This book is a printed edition of the Special Issue "Information Decomposition of Target Effects from Multi-Source Interactions" that was published in Entropy



Classical And Spatial Stochastic Processes


Classical And Spatial Stochastic Processes
DOWNLOAD
Author : Rinaldo B. Schinazi
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Classical And Spatial Stochastic Processes written by Rinaldo B. Schinazi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.


This book is intended as a text for a first course in stochastic processes at the upper undergraduate or graduate levels, assuming only that the reader has had a serious calculus course-advanced calculus would even be better-as well as a first course in probability (without measure theory). In guiding the student from the simplest classical models to some of the spatial models, currently the object of considerable research, the text is aimed at a broad audience of students in biology, engineering, mathematics, and physics. The first two chapters deal with discrete Markov chains-recurrence and tran sience, random walks, birth and death chains, ruin problem and branching pro cesses-and their stationary distributions. These classical topics are treated with a modem twist: in particular, the coupling technique is introduced in the first chap ter and is used throughout. The third chapter deals with continuous time Markov chains-Poisson process, queues, birth and death chains, stationary distributions. The second half of the book treats spatial processes. This is the main difference between this work and the many others on stochastic processes. Spatial stochas tic processes are (rightly) known as being difficult to analyze. The few existing books on the subject are technically challenging and intended for a mathemat ically sophisticated reader. We picked several interesting models-percolation, cellular automata, branching random walks, contact process on a tree-and con centrated on those properties that can be analyzed using elementary methods.



Markov Chains


Markov Chains
DOWNLOAD
Author : Paul A. Gagniuc
language : en
Publisher: John Wiley & Sons
Release Date : 2017-07-05

Markov Chains written by Paul A. Gagniuc and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-05 with Mathematics categories.


A fascinating and instructive guide to Markov chains for experienced users and newcomers alike This unique guide to Markov chains approaches the subject along the four convergent lines of mathematics, implementation, simulation, and experimentation. It introduces readers to the art of stochastic modeling, shows how to design computer implementations, and provides extensive worked examples with case studies. Markov Chains: From Theory to Implementation and Experimentation begins with a general introduction to the history of probability theory in which the author uses quantifiable examples to illustrate how probability theory arrived at the concept of discrete-time and the Markov model from experiments involving independent variables. An introduction to simple stochastic matrices and transition probabilities is followed by a simulation of a two-state Markov chain. The notion of steady state is explored in connection with the long-run distribution behavior of the Markov chain. Predictions based on Markov chains with more than two states are examined, followed by a discussion of the notion of absorbing Markov chains. Also covered in detail are topics relating to the average time spent in a state, various chain configurations, and n-state Markov chain simulations used for verifying experiments involving various diagram configurations. • Fascinating historical notes shed light on the key ideas that led to the development of the Markov model and its variants • Various configurations of Markov Chains and their limitations are explored at length • Numerous examples—from basic to complex—are presented in a comparative manner using a variety of color graphics • All algorithms presented can be analyzed in either Visual Basic, Java Script, or PHP • Designed to be useful to professional statisticians as well as readers without extensive knowledge of probability theory Covering both the theory underlying the Markov model and an array of Markov chain implementations, within a common conceptual framework, Markov Chains: From Theory to Implementation and Experimentation is a stimulating introduction to and a valuable reference for those wishing to deepen their understanding of this extremely valuable statistical tool. Paul A. Gagniuc, PhD, is Associate Professor at Polytechnic University of Bucharest, Romania. He obtained his MS and his PhD in genetics at the University of Bucharest. Dr. Gagniuc’s work has been published in numerous high profile scientific journals, ranging from the Public Library of Science to BioMed Central and Nature journals. He is the recipient of several awards for exceptional scientific results and a highly active figure in the review process for different scientific areas.



Information Theoretic Methods In Data Science


Information Theoretic Methods In Data Science
DOWNLOAD
Author : Miguel R. D. Rodrigues
language : en
Publisher: Cambridge University Press
Release Date : 2021-04-08

Information Theoretic Methods In Data Science written by Miguel R. D. Rodrigues 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 2021-04-08 with Computers categories.


The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics such as data acquisition, representation, analysis, and communication, it is ideal for graduate students and researchers in information theory, signal processing, and machine learning.



Product Of Random Stochastic Matrices And Distributed Averaging


Product Of Random Stochastic Matrices And Distributed Averaging
DOWNLOAD
Author : Behrouz Touri
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-03-02

Product Of Random Stochastic Matrices And Distributed Averaging written by Behrouz Touri and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-02 with Technology & Engineering categories.


The thesis deals with averaging dynamics in a multiagent networked system, which is a main mechanism for diffusing the information over such networks. It arises in a wide range of applications in engineered physical networks (such as mobile communication and sensor networks), as well as social and economic networks. The thesis provides in depth study of stability and other phenomena characterizing the limiting behavior of both deterministic and random averaging dynamics. By developing new concepts, and using the tools from dynamic system theory and non-negative matrix theory, several novel fundamental results are rigorously developed. These contribute significantly to our understanding of averaging dynamics as well as to non-negative random matrix theory. The exposition, although highly rigorous and technical, is elegant and insightful, and accompanied with numerous illustrative examples, which makes this thesis work easily accessible to those just entering this field and will also be much appreciated by experts in the field.



Current Index To Statistics Applications Methods And Theory


Current Index To Statistics Applications Methods And Theory
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1999

Current Index To Statistics Applications Methods And Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Mathematical statistics categories.


The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.



Can A More Equal World Support More Of Fewer People Than A Less Equal One


Can A More Equal World Support More Of Fewer People Than A Less Equal One
DOWNLOAD
Author : Joel E. Cohen
language : en
Publisher:
Release Date : 1998

Can A More Equal World Support More Of Fewer People Than A Less Equal One written by Joel E. Cohen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.