|
17
|
Quantifying surprise in the data and model verification
– M J Bayarri, J O Berger
- 1999
|
|
6
|
Confusion over measures of evidence (p’s) versus errors (α’s) in classical statistical testing (with discussion
– R Hubbard, M J Bayarri
- 2003
|
|
2
|
Discussion of quantifying surprise in the data and model verification
– J M Robins
- 1999
|
|
1
|
MCMC methods to approximate conditional predictive distributions. Comput. Statist. Data Anal
– D A S Fraser, J Rousseau
- 2006
|
|
1
|
A mixture approach to Bayesian goodness of fit. Cahier du CEREMADE
– C P Robert, J Rousseau
- 2002
|
|
2
|
Medidas de Sorpresa para bondad de ajuste. Master Thesis
– M E Castellanos
- 1999
|
|
2
|
HSSS model criticism (with discussion),” in “Highly Structured Stochastic Systems
– A O’Hagan
- 2003
|
|
1
|
A SHORT RUNNING TITLE 31
– FILL IN
- 1989
|
|
1
|
Some comments on model criticism, discussion on HSSS model criticism
– A E Gelfand
- 2003
|
|
5
|
Approximate cross-validatory predictive checks in disease mapping models
– E C Marshall, D J Spiegelhalter
- 2003
|
|
5
|
Bayesian Measures of surprise for outlier detection
– M J Bayarri, J Morales
- 2000
|
|
2
|
A Comparison Between P-Values for Goodness-of-fit Checking
– Bayarri And Castellanos, M. J. Bayarri, M. E. Castellanos, Miguel Hernández
- 2001
|
|
8
|
Assessing normality in random effects models
– MR2324154 Lange, N, L Ryan
- 1989
|
|
6
|
A Simulation-Intensive Approach for Checking Hierarchical Models
– Dipak Dey, Alan E. Gelf, Pantelis K. Vlachos, Tim B. Swartz
- 1998
|
|
2
|
Which ‘base’ distribution for model criticism? Discussion on HSSS model criticism by A. O’hagan
– M J Bayarri
- 2003
|
|
2
|
Diagnósticos Bayesianos de Modelos, PhD. Dissertation. Dpto. Estadística y Mat. Aplicada. Universidad Miguel Hernández
– M E Castellanos
- 2002
|
|
70
|
Model determination using predictive distributions with implementation via sampling based methods (with discussion
– A E Gelfand, D K Dey, H Chang
- 1992
|
|
86
|
Bayesianly justifiable and relevant frequency calculations for the applied statistician
– D B Rubin
- 1984
|
|
20
|
The use of the concept of a future observation in goodnessof-Þt problems
– I Guttman
- 1967
|
