Handbook of Probabilistic Models

Book Handbook of Probabilistic Models Cover

Download or read online Handbook of Probabilistic Models PDF book by Pijush Samui in ePUB, PDF or Kindle eBooks. Published by Butterworth-Heinemann in 05 October 2019 the book become immediate popular and critical acclaim in Computers books with total hardcover page 590. Click Download Book button to get book file. Read some info about this book below.

  • Author : Pijush Samui
  • Publisher : Butterworth-Heinemann
  • Release : 05 October 2019
  • ISBN : 9780128165461
  • Page : 590 pages
  • Language : English
  • Total View : 3677 Views
  • File Size : 49,9 Mb

Handbook of Probabilistic Models Book PDF summary

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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