Handbook of Probabilistic ModelsAuthor :
Paperback
Published : Tuesday 8 October 2019
Description
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.
You may also like ...
by
Paperback
08 Oct 2019
Applied mathematics
€175.50
Extended stock – Dispatch 5-7 days
by
Hardback
30 Nov 2022
Production and quality control management
€140.40
Extended stock – Dispatch 5-7 days
by
Hardback
31 Oct 2022
Educational strategies and policy
€80.72
Extended stock – Dispatch 5-7 days
by
Hardback
23 Dec 2021
Condensed matter physics (liquid state and solid state physics)
€140.40
Extended stock – Dispatch 5-7 days
Reviews