Handbook of Probabilistic Models is popular PDF and ePub book, written by Pijush Samui in 2019-10-05, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Handbook of Probabilistic Models can be Read Online from any device for your convenience.
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
Detail Book of Handbook of Probabilistic Models PDF
- Author : Pijush Samui
- Release : 05 October 2019
- Publisher : Butterworth-Heinemann
- ISBN : 9780128165461
- Genre : Computers
- Total Page : 590 pages
- Language : English
- PDF File Size : 21,9 Mb
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