Bayesian Analysis

Comment on article by Monni and Tadesse

Hal Stern

Full-text: Open access

Abstract

The article by Monni and Tadesse introduces a model for relating large numbers of predictors and responses. That situation typically occurs when investigators are in an exploratory mode. This discussion argues that in such situations the fairly strong assumptions of Monni and Tadesse (e.g., linear regression models with common coefficients for all variables within a cluster of responses) may be counterproductive. If such models are to be used, it is critical that model fit be assessed before relying on their results.

Article information

Source
Bayesian Anal., Volume 4, Number 3 (2009), 453-456.

Dates
First available in Project Euclid: 22 June 2012

Permanent link to this document
https://projecteuclid.org/euclid.ba/1340369849

Digital Object Identifier
doi:10.1214/09-BA416D

Mathematical Reviews number (MathSciNet)
MR2545170

Zentralblatt MATH identifier
1330.62038

Keywords
exploratory analysis model checking

Citation

Stern, Hal. Comment on article by Monni and Tadesse. Bayesian Anal. 4 (2009), no. 3, 453--456. doi:10.1214/09-BA416D. https://projecteuclid.org/euclid.ba/1340369849


Export citation

See also

  • Related item: Stefano Monni, Mahlet G. Tadesse. A stochastic partitioning method to associate high-dimensional responses and covariates. Bayesian Anal., Vol. 4, Iss. 3 (2009), 413-436.