1.

Record Nr.

UNINA9910300101703321

Autore

Martino Luca

Titolo

Independent Random Sampling Methods / / by Luca Martino, David Luengo, Joaquín Míguez

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

3-319-72634-X

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (xii, 280 pages)

Collana

Statistics and Computing, , 1431-8784

Disciplina

519.52

Soggetti

Statistics 

Computer science—Mathematics

Economics, Mathematical 

Statistics and Computing/Statistics Programs

Mathematics of Computing

Quantitative Finance

Statistical Theory and Methods

Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction -- Direct methods -- Accept-Reject methods -- Adaptive rejection sampling methods -- Ratio of Uniforms -- Independent sampling for multivariate densities -- Asymptotically independent samplers -- Summary and outlook -- A. Acronyms and abbrevations -- B. Notation -- C. Jones' RoU generalization -- D. Polar transformation.

Sommario/riassunto

This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate samples from arbitrary probability distributions, and tailored techniques, designed to efficiently address common real-world practical problems, are introduced and discussed in detail. In turn, the monograph presents fundamental results and methodologies in the field, elaborating and developing them into the latest techniques. The theory and methods are illustrated with a varied collection of examples, which are discussed



in detail in the text and supplemented with ready-to-run computer code. The main problem addressed in the book is how to generate independent random samples from an arbitrary probability distribution with the weakest possible constraints or assumptions in a form suitable for practical implementation. The authors review the fundamental results and methods in the field, address the latest methods, and emphasize the links and interplay between ostensibly diverse techniques.