Information-theoretic asymptotics of Bayes methods. - Bertrand S. Clarke; Andrew R. Barron (IEEE Trans. Inf. Theory, 1990)

Discussion of the Papers by Rissanen, and by Wallace and Dowe. - Bertrand S. Clarke (Comput. J., 1999)

Asymptotic Normality of the Posterior in Relative Entropy. - Bertrand S. Clarke (IEEE Trans. Inf. Theory, 1999)

An Information Criterion for Likelihood Selection. - A. Yuan; Bertrand S. Clarke (IEEE Trans. Inf. Theory, 1999)

Comparing Bayes Model Averaging and Stacking When Model Approximation Error Cannot be Ignored. - Bertrand S. Clarke (J. Mach. Learn. Res., 2003)

Information Conversion, Effective Samples, and Parameter Size. - Xiaodong Lin 004; Jennifer Pittman; Bertrand S. Clarke (IEEE Trans. Inf. Theory, 2007)

A Bayesian Approach to Cluster Validation. - Hoyt A. Koepke; Bertrand S. Clarke (ISAIM, 2008)

Prequential analysis of complex data with adaptive model reselection. - Jennifer Clarke; Bertrand S. Clarke (Stat. Anal. Data Min., 2009)

Statistical expression deconvolution from mixed tissue samples. - Jennifer Clarke; Pearl Seo; Bertrand S. Clarke (Bioinform., 2010)

Asymptotics of Bayesian median loss estimation. - Chi Wai Yu; Bertrand S. Clarke (J. Multivar. Anal., 2010)

On the limits of clustering in high dimensions via cost functions. - Hoyt A. Koepke; Bertrand S. Clarke (Stat. Anal. Data Min., 2011)

Special Issue on Statistical Learning. - Bertrand S. Clarke (Stat. Anal. Data Min., 2013)

A Bayesian criterion for cluster stability. - Hoyt A. Koepke; Bertrand S. Clarke (Stat. Anal. Data Min., 2013)

A General Hybrid Clustering Technique. - Saeid Amiri; Bertrand S. Clarke; Jennifer Clarke; Hoyt A. Koepke (CoRR, 2015)

Regular, median and Huber cross-validation: A computational comparison. - Chi Wai Yu; Bertrand S. Clarke (Stat. Anal. Data Min., 2015)

EnsCat: clustering of categorical data via ensembling. - Bertrand S. Clarke; Saeid Amiri; Jennifer Clarke (BMC Bioinform., 2016)

Using the Bayesian Shtarkov solution for predictions. - Tri Le; Bertrand S. Clarke (Comput. Stat. Data Anal., 2016)

On the Interpretation of Ensemble Classifiers in Terms of Bayes Classifiers. - Tri Le; Bertrand S. Clarke (J. Classif., 2018)

Model Selection via the VC Dimension. - Merlin Mpoudeu; Bertrand S. Clarke (J. Mach. Learn. Res., 2019)

In praise of partially interpretable predictors. - Tri Le; Bertrand S. Clarke (Stat. Anal. Data Min., 2020)

Model Averaging Is Asymptotically Better Than Model Selection For Prediction. - Tri M. Le; Bertrand S. Clarke (J. Mach. Learn. Res., 2022)

Point Prediction for Streaming Data. - Aleena Chanda; N. V. Vinodchandran; Bertrand S. Clarke (CoRR, 2024)

Predictive stability criteria for penalty selection in linear models. - Dean Dustin; Bertrand S. Clarke; Jennifer Clarke (Comput. Stat., 2024)

Testing for the Important Components of Predictive Variance. - Dean Dustin; Souparno Ghosh; Bertrand S. Clarke (Stat. Anal. Data Min., 2025)