Bayesian Scientific Computing

AvDaniela Calvetti,Erkki Somersalo

Häftad, Engelska, 2024

Del 215 i serien Applied Mathematical Sciences

1 381 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Fler format och utgåvor

Inbunden

1 381 kr

Skickas inom 10-15 vardagar

Övrigt

634 kr

Skickas inom 5-8 vardagar

Beskrivning

The once esoteric idea of embedding scientific computing into a probabilistic framework, mostly along the lines of the Bayesian paradigm, has recently enjoyed wide popularity and found its way into numerous applications.

Produktinformation

Utgivningsdatum:2024-03-10
Mått:155 x 235 x 17 mm
Vikt:464 g
Format:Häftad
Språk:Engelska
Serie:Applied Mathematical Sciences
Antal sidor:286
Förlag:Springer International Publishing AG
ISBN:9783031238260

Utforska kategorier

Recensioner i media

“The book is presented in a logical order, with good writing style. One of the notable features is that the topics are well illustrated with graphs and figures.” (John Masson Noble, Mathematical Reviews, September, 2024)

Innehållsförteckning

Inverse problems and subjective computing.- Linear algebra.- Continuous and discrete multivariate distributions.- Introduction to sampling.- The praise of ignorance: randomness as lack of certainty.- Enter subject: Construction of priors.- Posterior densities, ill-conditioning, and classical regularization.- Conditional Gaussian densities.- Iterative linear solvers and priorconditioners.- Hierarchical models and Bayesian sparsity.- Sampling: the real thing.- Dynamic methods and learning from the past.- Bayesian filtering and Gaussian densities.-