Victor De Oliveira, Ph.D.

Professor, Management Science and Statistics

Victor De Oliveira

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Bio

Personal Faculty Website

Dr. Victor De Oliveira is a professor in the Department of Management Science and Statistics in the Carlos Alvarez College of Business. He joined the UTSA faculty in 2006 and previously worked at the University of Arkansas and Simon Bolivar University. He holds a Ph.D. in statistics from the University of Maryland, and a master’s in water resources and a bachelor’s in mathematics from the Universidad Simon Bolivar. He is a Fellow of the American Statistical Association, and an Elected Member of the International Statistical Institute. He teaches a variety of undergraduate and graduate courses in Statistics and Applied Probability.

Teaching

  • Advanced inference
  • Simulation and statistical computing
  • Spatial statistics

Research Interests

  • Bayesian methods
  • Environmental statistics
  • Geostatistics

Degrees

  • Ph.D. University of Maryland
  • M.S. Universidad Simon Bolivar
  • B.S. Universidad Simon Bolivar

Publications

  • “Approximate Reference Priors for Gaussian Random Fields,” with Z. Han, Scandinavian, Journal of Statistics, Vol. 50, 2023, pp. 296-326.
  • “On Information About Covariance Parameters in Gaussian Matérn Random Fields,” with Z. Han, Journal of Agricultural, Biological and Environmental Statistics, Vol. 27, 2022, pp 690-712.
  • “Models for Geostatistical Binary Data: Properties and Connections,” The American Statistician, Vol. 74, 2020, pp. 72-79.
  • “Spatial Modeling of Rainfall Accumulated Over Short Periods of Time,” with B. Wang and E. Slud, Journal of Multivariate Analysis, Vol. 166, 2018, pp 129-149.
  • “Bayesian Analysis of a Density Ratio Model,’’ with B. Kedem, The Canadian Journal of Statistics, Vol. 45, 2017, pp. 274-289.
  • “Hierarchical Poisson Models for Spatial Count Data,” Journal of Multivariate Analysis, Vol. 122, 2013, pp. 393-408.
  • “Bayesian Analysis of Conditional Autoregressive Models,” Annals of the Institute of Statistical Mathematics, Vol. 64, 2012, pp. 107-133.
  • “Objective Bayesian Analysis of Spatially Correlated Data,” with J. Berger and B. Sanso, Journal of the American Statistical Association, Vol. 96, 2001, pp. 1361-1374.
  • “Bayesian Prediction of Clipped Gaussian Random Fields,” Computational Statistics and Data Analysis, Vol. 34, 2000, pp. 299-314.
  • “Bayesian Prediction of Transformed Gaussian Random Fields,” with B. Kedem and D. Short, Journal of the American Statistical Association, Vol. 92, 1997, pp. 1422-1433.