rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Bayesian economics through numerical methods
    sub title: a guide to econometrics and decision-making with prior information
  name:
    name part: Dorfman, Jeffrey H.
    role:
      role term: creator
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    date issued: 1997
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (vii, 110 pages) : illustrations
  abstract: The aim of this book is to provide researchers in economics, finance, and statistics with an up-to-date introduction to applying Bayesian techniques to empirical studies. It covers the full range of the new numerical techniques which have been developed over the last thirty years, notably: Monte Carlo sampling, antithetic replication, importance sampling, and Gibbs sampling. The author covers both advances in theory and modern approaches to numerical and applied problems. The book includes applications drawn from a variety of different fields within economics and also provides a quick overview to the underlying statistical ideas of Bayesian thought. The result is a book which presents a roadmap of applied economic questions that can now be addressed empirically with Bayesian methods. Consequently, many researchers will find this a readily readable survey of this growing research topic.
  table of contents: Cover -- Table of Contents -- 1. Introduction -- 2. A Quick Course in Bayesian Statistics and Decision Theory -- 3. New Advances in Numerical Bayesian Techniques -- 4. Imposing Economic Theory -- 5. Studying Parameters of Interest -- 6. Unit Root and Cointegration Tests -- 7. Model Specification Uncertainty -- 8. Forecasting -- 9. More Realistic Models Through Numerical Methods -- 10. Decision Theory Applications -- Bibliography.
  note: Jeffrey H. Dorfman.
  note: Electronic resource.
  note: Includes bibliographical references (pages 97-107) and index.
  subject:
    topic: Econometrics
  subject:
    topic: Bayesian statistical decision theory
  subject:
    topic: Teoría bayesiana de decisiones estadísticas
  subject:
    topic: Économétrie
  subject:
    topic: Statistique bayésienne
  subject:
    topic: BUSINESS & ECONOMICS
    topic: Econometrics
  subject:
    topic: BUSINESS & ECONOMICS
    topic: Statistics
  subject:
    topic: Bayesian statistical decision theory
  subject:
    topic: Econometrics
  subject:
    topic: Methode van Bayes
  subject:
    topic: Besluitvorming
  subject:
    topic: Econometrie
  subject:
    topic: Besliskunde
  subject:
    topic: Numerieke methoden
  subject:
    topic: Estatistica aplicada a economia
  subject:
    topic: Inferencia estatistica
  classification: HB139 .D674 1997eb
  classification: 330/.01/5195
  classification: 83.03
  related item:
    title info:
      title: Bayesian economics through numerical methods
    name:
      name part: Dorfman, Jeffrey H.
    origin info:
      publisher: New York : Springer, ©1997
    identifier: (DLC) 97012147
    identifier: (OCoLC)36549128
  identifier: 0387226354
  identifier: 9780387226354
  identifier: 0387982337
  identifier: 9780387982335
  identifier: EBL219311 eBook Library
  identifier: https://proxy.library.tamu.edu/login
  related item:
    location:
      url: https://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 031112
    record change date: 20220105141334.0
    record identifier: in00001851307
    language of cataloging:
      language term: eng