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Simulation-based Inference in Econometrics: Methods and Applications Roberto Mariano
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Simulation-based Inference in Econometrics: Methods and Applications
Roberto Mariano
Simulation-based inference (SBI) is the fastest growing area of research in modern econometrics. This substantial international volume provides an overview of the applications and techniques at the cutting edge of the subject as well as providing a comprehensive survey of the existing literature.
476 pages, 25 tables
| Mídia | Livros Hardcover Book (Livro com lombada e capa dura) |
| Lançado | 20 de julho de 2000 |
| ISBN13 | 9780521591126 |
| Editoras | Cambridge University Press |
| Páginas | 476 |
| Dimensões | 159 × 236 × 39 mm · 835 g |
| Idioma | Inglês |
| Editor | Mariano, Roberto (University of Pennsylvania) |
| Editor | Schuermann, Til (AT&T Bell Laboratories, New Jersey) |
| Editor | Weeks, Melvyn J. (University of Cambridge) |
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![Cover for Horvitz, Jon C. (City College, City University of New York) · Principles of Behavioral Neuroscience (Hardcover Book) [2 Revised edition] (2027)](https://imusic.b-cdn.net/images/item/original/124/9781009694124.jpg?horvitz-jon-c-city-college-city-university-of-new-york-2027-principles-of-behavioral-neuroscience-hardcover-book&class=scaled&v=1781538969)
