Bayesian Logical Data Analysis For The Physical Sciences
DOWNLOAD
Download Bayesian Logical Data Analysis For The Physical Sciences PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Bayesian Logical Data Analysis For The Physical Sciences 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
Bayesian Logical Data Analysis For The Physical Sciences
DOWNLOAD
Author : Phil Gregory
language : en
Publisher: Cambridge University Press
Release Date : 2005-04-14
Bayesian Logical Data Analysis For The Physical Sciences written by Phil Gregory 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 2005-04-14 with Mathematics categories.
Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica® notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at www.cambridge.org/9780521150125.
Bayesian Logical Data Analysis For The Physical Sciences
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2005*
Bayesian Logical Data Analysis For The Physical Sciences written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005* with Bayesian statistical decision theory categories.
Uncertainty Quantification In Multiscale Materials Modeling
DOWNLOAD
Author : Yan Wang
language : en
Publisher: Woodhead Publishing
Release Date : 2020-03-10
Uncertainty Quantification In Multiscale Materials Modeling written by Yan Wang and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-10 with Technology & Engineering categories.
Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ) in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This book presents a thorough synthesis of the state-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and sensitivity analysis, providing insight into the unique characteristics of models framed at each scale, as well as common issues in modeling across scales. - Synthesizes available UQ methods for materials modeling - Provides practical tools and examples for problem solving in modeling material behavior across various length scales - Demonstrates UQ in density functional theory, molecular dynamics, kinetic Monte Carlo, phase field, finite element method, multiscale modeling, and to support decision making in materials design - Covers quantum, atomistic, mesoscale, and engineering structure-level modeling and simulation
Risk Analysis And Control For Industrial Processes Gas Oil And Chemicals
DOWNLOAD
Author : Hans J Pasman
language : en
Publisher: Butterworth-Heinemann
Release Date : 2015-06-14
Risk Analysis And Control For Industrial Processes Gas Oil And Chemicals written by Hans J Pasman and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-14 with Technology & Engineering categories.
Risk Analysis and Control for Industrial Processes - Gas, Oil and Chemicals provides an analysis of current approaches for preventing disasters, and gives readers an overview on which methods to adopt. The book covers safety regulations, history and trends, industrial disasters, safety problems, safety tools, and capital and operational costs versus the benefits of safety, all supporting project decision processes. Tools covered include present day array of risk assessment, tools including HAZOP, LOPA and ORA, but also new approaches such as System-Theoretic Process Analysis (STPA), Blended HAZID, applications of Bayesian data analytics, Bayesian networks, and others. The text is supported by valuable examples to help the reader achieve a greater understanding on how to perform safety analysis, identify potential issues, and predict the likelihood they may appear. - Presents new methods on how to identify hazards of low probability/high consequence events - Contains information on how to develop and install safeguards against such events, with guidance on how to quantify risk and its uncertainty, and how to make economic and societal decisions about risk - Demonstrates key concepts through the use of examples and relevant case studies
Practical Bayesian Inference
DOWNLOAD
Author : Coryn A. L. Bailer-Jones
language : en
Publisher: Cambridge University Press
Release Date : 2017-04-27
Practical Bayesian Inference written by Coryn A. L. Bailer-Jones 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 2017-04-27 with Mathematics categories.
This book introduces the major concepts of probability and statistics, along with the necessary computational tools, for undergraduates and graduate students.
Statistics Data Mining And Machine Learning In Astronomy
DOWNLOAD
Author : Željko Ivezić
language : en
Publisher: Princeton University Press
Release Date : 2014-01-12
Statistics Data Mining And Machine Learning In Astronomy written by Željko Ivezić 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 2014-01-12 with Science categories.
As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as a practical handbook for graduate students and advanced undergraduates in physics and astronomy, and as an indispensable reference for researchers. Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, evaluate the methods, and adapt them to their own fields of interest. Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets Features real-world data sets from contemporary astronomical surveys Uses a freely available Python codebase throughout Ideal for students and working astronomers
Modern Statistical Methods For Astronomy
DOWNLOAD
Author : Eric D. Feigelson
language : en
Publisher: Cambridge University Press
Release Date : 2012-07-12
Modern Statistical Methods For Astronomy written by Eric D. Feigelson 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 2012-07-12 with Science categories.
Modern Statistical Methods for Astronomy: With R Applications.
Bayesian Astrophysics
DOWNLOAD
Author : Andrés Asensio Ramos
language : en
Publisher: Cambridge University Press
Release Date : 2018-04-26
Bayesian Astrophysics written by Andrés Asensio Ramos 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 2018-04-26 with Mathematics categories.
Provides an overview of the fundamentals of Bayesian inference and its applications within astrophysics, for graduate students and researchers.
Handbook Of Particle Detection And Imaging
DOWNLOAD
Author : Claus Grupen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-08
Handbook Of Particle Detection And Imaging written by Claus Grupen 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 2012-01-08 with Science categories.
The handbook centers on detection techniques in the field of particle physics, medical imaging and related subjects. It is structured into three parts. The first one is dealing with basic ideas of particle detectors, followed by applications of these devices in high energy physics and other fields. In the last part the large field of medical imaging using similar detection techniques is described. The different chapters of the book are written by world experts in their field. Clear instructions on the detection techniques and principles in terms of relevant operation parameters for scientists and graduate students are given.Detailed tables and diagrams will make this a very useful handbook for the application of these techniques in many different fields like physics, medicine, biology and other areas of natural science.
Bayesian Methods In Cosmology
DOWNLOAD
Author : Michael P. Hobson
language : en
Publisher: Cambridge University Press
Release Date : 2010
Bayesian Methods In Cosmology written by Michael P. Hobson 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 2010 with Mathematics categories.
Comprehensive introduction to Bayesian methods in cosmological studies, for graduate students and researchers in cosmology, astrophysics and applied statistics.