Handbook of Probabilistic Models

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  • Publisher : Butterworth-Heinemann
  • Release : 05 October 2019
  • ISBN : 9780128165461
  • Page : 590 pages
  • Rating : 4.5/5 from 103 voters

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Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences. Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more. Explains the application of advanced probabilistic models encompassing multidisciplinary research Applies probabilistic modeling to emerging areas in engineering Provides an interdisciplinary approach to probabilistic models and their applications, thus solving a wide range of practical problems

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Handbook of Probabilistic Models

Handbook of Probabilistic Models
  • Author : Pijush Samui,Dieu Tien Bui,Subrata Chakraborty,Ravinesh C. Deo
  • Publisher : Butterworth-Heinemann
  • Release Date : 2019-10-05
  • ISBN : 9780128165461
GET THIS BOOKHandbook of Probabilistic Models

Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical

Handbook of Graphical Models

Handbook of Graphical Models
  • Author : Marloes Maathuis,Mathias Drton,Steffen Lauritzen,Martin Wainwright
  • Publisher : CRC Press
  • Release Date : 2018-11-12
  • ISBN : 9780429874246
GET THIS BOOKHandbook of Graphical Models

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora of applications. Furthermore, directed graphical models allow intuitive causal interpretations and have become a cornerstone for causal inference. While there exist a number of excellent books on graphical models, the field has grown so much that individual authors can hardly cover its entire scope. Moreover, the

Probabilistic Techniques in Exposure Assessment

Probabilistic Techniques in Exposure Assessment
  • Author : Alison C. Cullen,H. Christopher Frey,Christopher H. Frey
  • Publisher : Springer Science & Business Media
  • Release Date : 1999
  • ISBN : 0306459574
GET THIS BOOKProbabilistic Techniques in Exposure Assessment

At this time when regulatory agencies are accepting and actively encouraging probabilistic approaches and the attribution of overall uncertainty among inputs to support Value of Information analyses, a comprehensive sourcebook on methods for addressing variability and uncertainty in exposure analysis is sorely needed. This need is adroitly met in Probabilistic Techniques in Exposure Assessment. A host of expert contributors provide a straightforward introduction to the practical tools for addressing variability and uncertainty in support of environmental and human health decision

Handbook of Food and Bioprocess Modeling Techniques

Handbook of Food and Bioprocess Modeling Techniques
  • Author : Shyam S. Sablani,Ashim K. Datta,M. Shafiur Rahman,Arun S. Mujumdar
  • Publisher : CRC Press
  • Release Date : 2006-12-19
  • ISBN : 9781420015072
GET THIS BOOKHandbook of Food and Bioprocess Modeling Techniques

With the advancement of computers, the use of modeling to reduce time and expense, and improve process optimization, predictive capability, process automation, and control possibilities, is now an integral part of food science and engineering. New technology and ease of use expands the range of techniques that scientists and researchers have at the

Handbook of Mixed Membership Models and Their Applications

Handbook of Mixed Membership Models and Their Applications
  • Author : Edoardo M. Airoldi,David Blei,Elena A. Erosheva,Stephen E. Fienberg
  • Publisher : CRC Press
  • Release Date : 2014-11-06
  • ISBN : 9781466504097
GET THIS BOOKHandbook of Mixed Membership Models and Their Applications

In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology. Through

Practical Probabilistic Programming

Practical Probabilistic Programming
  • Author : Avi Pfeffer
  • Publisher : Simon and Schuster
  • Release Date : 2016-03-29
  • ISBN : 9781638352372
GET THIS BOOKPractical Probabilistic Programming

Summary Practical Probabilistic Programming introduces the working programmer to probabilistic programming. In it, you'll learn how to use the PP paradigm to model application domains and then express those probabilistic models in code. Although PP can seem abstract, in this book you'll immediately work on practical examples, like using the Figaro language to build a spam filter and applying Bayesian and Markov networks, to diagnose computer system data problems and recover digital images. Purchase of the print book includes a

Handbook of Financial Time Series

Handbook of Financial Time Series
  • Author : Torben Gustav Andersen,Richard A. Davis,Jens-Peter Kreiß,Thomas V. Mikosch
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-04-21
  • ISBN : 9783540712978
GET THIS BOOKHandbook of Financial Time Series

The Handbook of Financial Time Series gives an up-to-date overview of the field and covers all relevant topics both from a statistical and an econometrical point of view. There are many fine contributions, and a preamble by Nobel Prize winner Robert F. Engle.

Handbook of Statistical Genomics

Handbook of Statistical Genomics
  • Author : David J. Balding,Ida Moltke,John Marioni
  • Publisher : John Wiley & Sons
  • Release Date : 2019-07-09
  • ISBN : 9781119429258
GET THIS BOOKHandbook of Statistical Genomics

A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies,

Probabilistic Structural Mechanics Handbook

Probabilistic Structural Mechanics Handbook
  • Author : C.R. Sundararajan
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • ISBN : 9781461517719
GET THIS BOOKProbabilistic Structural Mechanics Handbook

The need for a comprehensive book on probabilistic structural mechanics that brings together the many analytical and computational methods developed over the years and their applications in a wide spectrum of industries-from residential buildings to nuclear power plants, from bridges to pressure vessels, from steel structures to ceramic structures-became evident from the many discussions the editor had with practising engineers, researchers and professors. Because no single individual has the expertise to write a book with such a di.verse scope,

A Biologist's Guide to Mathematical Modeling in Ecology and Evolution

A Biologist's Guide to Mathematical Modeling in Ecology and Evolution
  • Author : Sarah P. Otto,Troy Day
  • Publisher : Princeton University Press
  • Release Date : 2011-09-19
  • ISBN : 9781400840915
GET THIS BOOKA Biologist's Guide to Mathematical Modeling in Ecology and Evolution

Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. The book starts at an elementary

Probabilistic Graphical Models

Probabilistic Graphical Models
  • Author : Daphne Koller,Nir Friedman
  • Publisher : MIT Press
  • Release Date : 2009-07-31
  • ISBN : 9780262258357
GET THIS BOOKProbabilistic Graphical Models

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks require a person or an automated system to reason—to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be

Handbook of Probability

Handbook of Probability
  • Author : Tamás Rudas
  • Publisher : SAGE
  • Release Date : 2008-02-21
  • ISBN : 9781412927147
GET THIS BOOKHandbook of Probability

The Handbook of Probability presents an equal balance of theory and direct applications in a non-technical, yet comprehensive format so that researchers of various backgrounds can use the reference either as a primer for understanding basic probability theory or as a more advanced research tool for specific projects requiring a deeper understanding or application of probability. The wide-ranging applications of probability presented make it useful for researchers who need to make interdisciplinary connections in their work, as well as professors

Handbook of Model Checking

Handbook of Model Checking
  • Author : Edmund M. Clarke,Thomas A. Henzinger,Helmut Veith,Roderick Bloem
  • Publisher : Springer
  • Release Date : 2018-05-18
  • ISBN : 9783319105758
GET THIS BOOKHandbook of Model Checking

Model checking is a computer-assisted method for the analysis of dynamical systems that can be modeled by state-transition systems. Drawing from research traditions in mathematical logic, programming languages, hardware design, and theoretical computer science, model checking is now widely used for the verification of hardware and software in industry. The editors and authors of this handbook are among the world's leading researchers in this domain, and the 32 contributed chapters present a thorough view of the origin, theory, and application of

Bayesian Methods for Hackers

Bayesian Methods for Hackers
  • Author : Cameron Davidson-Pilon
  • Publisher : Addison-Wesley Professional
  • Release Date : 2015-09-30
  • ISBN : 9780133902921
GET THIS BOOKBayesian Methods for Hackers

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming

Handbook of Probability

Handbook of Probability
  • Author : Ionut Florescu,Ciprian A. Tudor
  • Publisher : John Wiley & Sons
  • Release Date : 2013-10-28
  • ISBN : 9781118593097
GET THIS BOOKHandbook of Probability

THE COMPLETE COLLECTION NECESSARY FOR A CONCRETEUNDERSTANDING OF PROBABILITY Written in a clear, accessible, and comprehensive manner, theHandbook of Probability presents the fundamentals ofprobability with an emphasis on the balance of theory, application,and methodology. Utilizing basic examples throughout, the handbookexpertly transitions between concepts and practice to allow readersan inclusive introduction to the field of probability. The book provides a useful format with self-contained chapters,allowing the reader easy and quick reference. Each chapter includesan introduction, historical background, theory and