Handbook of Probabilistic Models
Regular price
$226.38 USD
Regular price
$226.38 USD
Sale price
$226.38 USD
Unit price
per
In stock — Ships within 1–2 business days
Format
Print Book
Currently viewing
Paperback
$226.38 USD
Secure CheckoutYour data is protected
Fast U.S. ShippingShips within 1–2 business days
Authentic Titles100% Genuine Books
AlbakiReads Editorial Advanced probabilistic methods across engineering and applied sciences
Advanced probabilistic methods across engineering and applied sciences
Edited by Pijush Samui, this 590-page handbook brings together probabilistic modeling approaches for problems spanning engineering, earth and climate sciences, agriculture, water resources, mathematics, and computing. It pairs technical explanations with applications and scientific problem-solving approaches, making its scope broader than a single discipline or method. Coverage ranges from regression, Gaussian processes, Kalman filters, and Monte Carlo simulation to stochastic finite elements, Bayesian inference and updating, kriging, copula-based statistical models, and stochastic optimization. The emphasis is on how advanced probability-based models are applied across conventional and interdisciplinary engineering contexts.
Good fit for readers who enjoy
- Researchers and scientists working with probabilistic models in applied fields
- Engineering practitioners seeking cross-disciplinary modeling methods
- Graduate-level students in engineering, statistics, or computer science
Themes
Probabilistic modelingEngineering applicationsBayesian inferenceStochastic methodsStatistical learning
Based on publisher information and book metadata.
Book Overview Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. ...
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.
Book Details Format: Paperback | Pages: 590 | Language: English | Publisher: BUTTERWORTH HEINEMANN | ISBN: 0128165146
FormatPaperback
Pages590
LanguageEnglish
ISBN0128165146
EAN9780128165140
PublisherBUTTERWORTH HEINEMANN
Publication Date2019-10-08
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight1.72 Pounds
Length9.0 Inches
Width6.0 Inches
Height1.19 Inches
Shipping & Returns Fast, reliable shipping and easy returns on eligible items.
Most orders ship within 1–2 business days with fast, reliable U.S. delivery.
Eligible items can be returned within 30 days in line with our store return policy.
Why shop with AlbakiReads
Fresh Inventory from Major Publishers
Sourced through trusted book distributors, with fresh titles added regularly.
Secure Checkout
Your payment information is encrypted and protected every step of the way.
Fast U.S. Shipping
Most orders ship within 1–2 business days.
Books for Every Kind of Reader
From page-turners to timeless classics—find your next favorite read.
