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Handbook of Probabilistic Models (Paperback)
Loot Price: R4,040
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Handbook of Probabilistic Models (Paperback)
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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.
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