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    Bayesian Inverse Problems: Fundamentals and Engineering Applications

    Bayesian Inverse Problems by Chiachio-Ruano, Juan; Chiachio-Ruano, Manuel; Sankararaman, Shankar;

    Fundamentals and Engineering Applications

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      • Publisher's listprice GBP 77.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        39 470 Ft (37 591 Ft + 5% VAT)
      • Discount 20% (cc. 7 894 Ft off)
      • Discounted price 31 576 Ft (30 073 Ft + 5% VAT)

    39 470 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Short description:

    This book is devoted to a special class of engineering problems called Bayesian inverse problems. These problems comprise not only the probabilistic Bayesian formulation of engineering problems, but also the associated stochastic simulation methods needed to solve them.

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    Long description:

    This book is devoted to a special class of engineering problems called Bayesian inverse problems. These problems comprise not only the probabilistic Bayesian formulation of engineering problems, but also the associated stochastic simulation methods needed to solve them. Through this book, the reader will learn how this class of methods can be useful to rigorously address a range of engineering problems where empirical data and fundamental knowledge come into play. The book is written for a non-expert audience and it is contributed to by many of the most renowned academic experts in this field.

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    Table of Contents:

    Part 1 Fundamentals 1. Introduction to Bayesian Inverse Problems 2. Solving Inverse Problems by Approximate Bayesian Computation 3. Fundamentals of Sequential System Monitoring and Prognostics Methods 4. Parameter Identification Based on Conditional Expectation Part 2 Engineering Applications 5. Sparse Bayesian Learning and its Application in Bayesian System Identification 6. Ultrasonic Guided-waves Based Bayesian Damage Localisation and Optimal Sensor Configuration 7. Fast Bayesian Approach for Stochastic Model Updating using Modal Information from Multiple Setups 8. A Worked-out Example of Surrogate-based Bayesian Parameter and Field Identification Methods

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    Bayesian Inverse Problems: Fundamentals and Engineering Applications

    Bayesian Inverse Problems: Fundamentals and Engineering Applications

    Chiachio-Ruano, Juan; Chiachio-Ruano, Manuel; Sankararaman, Shankar; (ed.)

    39 470 HUF

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