Bayesian Approach to Inverse Problems

✍ Jérôme Idier 📂 Library 📅 2008 🏛 ISTE; Wiley 🌐 English

Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-des

Bayesian approach to inverse problems

📁 Bayesian approach to inverse problems

✍ Jérôme Idier 📂 Library 📅 2008 🏛 Wiley-ISTE 🌐 English

Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-des

Bayesian Approach to Inverse Problems

📁 Bayesian Approach to Inverse Problems

✍ Jerome Idier 📂 Library 📅 2008 🌐 English

Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-des

Bayesian Inverse Problems: Fundamentals

📁 Bayesian Inverse Problems: Fundamentals and Engineering Applications

✍ Juan Chiachio-Ruano (editor), Manuel Chiachio-Ruano (editor), Shankar Sankararam 📂 Library 📅 2021 🏛 CRC Press 🌐 English

<p>This book is devoted to a special class of engineering problems called <i>Bayesian inverse problems</i>. 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,

Bayesian Inverse Problems: Fundamentals

📁 Bayesian Inverse Problems: Fundamentals and Engineering Applications

✍ Juan Chiachio-Ruano; Manuel Chiachio-Ruano; Shankar Sankararaman 📂 Library 📅 2021 🏛 CRC Press 🌐 English

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

Maximum-Entropy and Bayesian Methods in

📁 Maximum-Entropy and Bayesian Methods in Inverse Problems

✍ W. T. Grandy Jr. (auth.), C. Ray Smith, W. T. Grandy Jr. (eds.) 📂 Library 📅 1985 🏛 Springer Netherlands 🌐 English

<p>This volume contains the text of the twenty-five papers presented at two workshops entitled Maximum-Entropy and Bayesian Methods in Applied Statistics, which were held at the University of Wyoming from June 8 to 10, 1981, and from August 9 to 11, 1982. The workshops were organized to bring togeth

Bayesian Approach to Inverse Problems

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