Isbn: 9780521591126 - simulation-based inference in econometrics: methods and applications (8 Ergebnisse)

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:0521591120. …

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9780521591126. …

Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:0521591120.…

hardcover. Zustand: As New. Unmarked hardcover in unclipped jacket.

Zustand: Gut. Zustand: Gut | Seiten: 476 | Sprache: Englisch | Produktart: Bücher | An overview of the techniques and practices involved in simulation-based inference.

Zustand: New. In English.

Zustand: New. An overview of the techniques and practices involved in simulation-based inference. Editor(s): Mariano, Roberto S.; Schuermann, Til; Weeks, Melvyn J. Num Pages: 476 pages, 25 tables. BIC Classification: KCHS. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 30. Weight in Grams: 870. . 2000. Illustrated. hardcover. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This substantial volume has two principal objectives. First it provides an overview of the statistical foundations of Simulation-based inference. This includes the summary and synthesis of the many concepts and results extant in the theoretical literature, the different classes of problems and estimators, the asymptotic properties of these estimators, as well as descriptions of the different simulators in use. Second, the volume provides empirical and operational examples of SBI methods. Often what is missing, even in existing applied papers, are operational issues. Which simulator works best for which problem and why This volume will explicitly address the important numerical and computational issues in SBI which are not covered comprehensively in the existing literature. Examples of such issues are: comparisons with existing tractable methods, number of replications needed for robust results, choice of instruments, simulation noise and bias as well as efficiency loss in practice.…