Dale Bowman

24 papers and 267 indexed citations i.

Dale Bowman has authored 24 papers that have received a total of 267 indexed citations. This includes 13 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 7 papers in Management Science and Operations Research. The topics of these papers are Statistical Methods and Bayesian Inference (9 papers), Optimal Experimental Design Methods (7 papers) and Bayesian Methods and Mixture Models (6 papers). Dale Bowman is often cited by papers focused on Statistical Methods and Bayesian Inference (9 papers), Optimal Experimental Design Methods (7 papers) and Bayesian Methods and Mixture Models (6 papers) and collaborates with scholars based in United States, Taiwan and Austria. Dale Bowman's co-authors include E. Olusegun George, Daniel Hunt, D. Kimbrough Oller, Lih‐Yuan Deng and Henry Horng‐Shing Lu and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and BMC Bioinformatics