Estimating bayesian credible intervals

By Lynn E. Eberly, George Casella. 2003

66 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ae2d7f6fc0ed84bf2a7b74cc7bfc8ab54af1eee4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. J. Bernardo
2. Jan Hannig

In Statistics and Probability

1. J. Bernardo
2. Jan Hannig
3. Eric-Jan Wagenmakers
4. Niko Brummer

Citations in the corpus

• Intrinsic credible regions: An objective Bayesian approach to interval estimation (2005, background): “The pragmatic importance of these region estimates should not be underestimated; see Guttman (1970), Blyth (1986), Efron (1987), Hahn and Meeker (1991), Burdick and Graybill (1992), Eberly and Casella (2003), and references therein, for some monographic works on this topic.”