Handbook of probabilistic models

Edited book

Deo, Ravinesh C.. Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) 2020. Handbook of probabilistic models. Oxford, United Kingdom. Elsevier.
Book Title

Handbook of probabilistic models

Book CategoryEdited book
ERA Publisher ID1821
EditorDeo, Ravinesh C.
EditorsSamui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C.
Number of Pages590
Place of PublicationOxford, United Kingdom
Web Address (URL)https://www.sciencedirect.com/book/9780128165140/handbook-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 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.

Keywordsprobabilistic models; engineering
ANZSRC Field of Research 2020490506. Probability theory
409999. Other engineering not elsewhere classified
Public Notes

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Institution of OriginUniversity of Southern Queensland
Byline AffiliationsNational Institute of Technology Patna, India
School of Agricultural, Computational and Environmental Sciences
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