Research in Computational Mathematics and Statistics

Computational Mathematics and Statistics Group

Name Rank Office Extension
Marí­a E. Pérez Associate Professor NCN II C-123 4696
Luis Raul Pericchi Full Professor NCN II C-121/ NCN A-206 4690/ 7490

Research in Computational Mathematics and Statistics

L.R. Pericchi G. and M.E. Pérez research is on Bayesian and Computational Statistics and Decision Theory. Their methodological research focuses on Model Selection and Hypothesis Testing. They also are involved, both jointly and independently, in applied and multidisciplinary pro jects, in areas such as: risk assessment and flood prediction, robust analysis and design of clinical trials and medical statistics, application to social sciences and econometrics, Bayesian methods for population genetics, population viability analysis and conservation of endangered species. Results obtained have been published in journals in Statistics as well in other scientific areas, including: Annals of Statistics, Journal of the Royal Statistical Association series B and C (Applied Statistics), Journal of Statistical Planning and Inference, Lecture Notes of the Institute of Mathematical Statistics, Journal of Hydrology, Stochastic Environmental Research Risk Assessment, Journal of Animal and Feed Sciences, Pediatric Infectious Diseases Journal, American Journal of Tropical Medicine and Hygiene, Vaccine, Diagnostic Microbiology and Infectious Disease

Computational Mathematics and Statistics Seminar

Other faculty with interest related to this area