Focused estimation for noisy and small data sets: a Bayesian minimum expected loss estimator approach-Reference-Cited by-同舟云学术

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Focused estimation for noisy and small data sets: a Bayesian minimum expected loss estimator approach

Published:2019-08-26 Issue:3 Volume:61 Page:360-379
ISSN:1369-1473
Container-title:Australian & New Zealand Journal of Statistics
language:en
Short-container-title:Aust. N. Z. J. Stat.

Author:

Ramírez‐Hassan Andrés¹²,Correa‐Giraldo Manuel³

Affiliation:

1. Department of Economics, School of Economics and Finance, Universidad EAFIT Medellín Colombia

2. Department of Econometrics and Business Statistics Monash University Melbourne Australia

3. Department of Economics School of Economics and Finance Universidad EAFIT Medellín Colombia

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/anzs.12271

Reference28 articles.

1. The Colonial Origins of Comparative Development: An Empirical Investigation

2. Post-Processing Accept-Reject Samples: Recycling and Rescaling

3. An MCMC approach to classical estimation

4. The Focused Information Criterion

5. Risk Analysis of the Space Shuttle: Pre-Challenger Prediction of Failure

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