Description

Book Synopsis
This two volume set is a collection of 30 classic papers presenting ideas which have now become standard in the field of Bayesian inference. Topics covered include the central field of statistical inference as well as applications to areas of probability theory, information theory, utility theory and computational theory. It is organized into seven sections: foundations, information theory and prior distributions; robustness and outliers; hierarchical, multivariate and non-parametric models; asymptotics; computations and Monte Carlo methods; and Bayesian econometrics.

Table of Contents
Volume I: information theory and prior distributions; robustness and outliers. Volume II: hierarchical, multivariate and non-parametric models; asymptotics; computation via Monte Carlo methods; Bayesian econometrics.

BAYESIAN INFERENCE

    Product form

    £341.00

    Includes FREE delivery

    Order before 4pm tomorrow for delivery by Sat 4 Jul 2026.

    A Hardback by Nicholas G. Polson, George C. Tiao

    4 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of BAYESIAN INFERENCE by Nicholas G. Polson

      Publisher: Edward Elgar Publishing Ltd
      Publication Date: 01/01/1995
      ISBN13: 9781852786687, 978-1852786687
      ISBN10: 185278668X
      Also in:
      Econometrics and economic statistics

      Description

      Book Synopsis
      This two volume set is a collection of 30 classic papers presenting ideas which have now become standard in the field of Bayesian inference. Topics covered include the central field of statistical inference as well as applications to areas of probability theory, information theory, utility theory and computational theory. It is organized into seven sections: foundations, information theory and prior distributions; robustness and outliers; hierarchical, multivariate and non-parametric models; asymptotics; computations and Monte Carlo methods; and Bayesian econometrics.

      Table of Contents
      Volume I: information theory and prior distributions; robustness and outliers. Volume II: hierarchical, multivariate and non-parametric models; asymptotics; computation via Monte Carlo methods; Bayesian econometrics.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account