Michael D. Escobar Explained

Michael David Escobar is an American biostatistician who is known for Bayesian nonparametrics, mixture models.

Education and career

Escobar earned a degree in mathematics at Tufts University in 1981 followed by a doctorate in statistics at Yale University in 1988 under the supervision of John Hartigan. Between 1990 and 1994, he was an assistant professor at Carnegie Mellon University.^[1] Escobar subsequently joined the University of Toronto faculty.^{[1] [2]} In 2015, he was elected a fellow of the American Statistical Association.^[3]

Bibliography

• Escobar . Michael D. . 1994 . Estimating Normal Means with a Dirichlet Process Prior . Journal of the American Statistical Association . en . 89 . 425 . 268–277 . 10.1080/01621459.1994.10476468 . 0162-1459.
• Escobar . Michael D. . West . Mike . 1995 . Bayesian Density Estimation and Inference Using Mixtures . Journal of the American Statistical Association . en . 90 . 430 . 577–588 . 10.1080/01621459.1995.10476550 . 0162-1459.
  • Austin . Peter C . Escobar . Michael . Kopec . Jacek A . 2000 . The use of the Tobit model for analyzing measures of health status . Quality of Life Research . 9 . 8 . 901–910 . 10.1023/A:1008938326604.

Notes and References

1. News: Curriculum Vitae Michael D. Escobar . 16 October 2022 . University of Toronto.
2. News: Faculty Member Michael Escobar Ph.D. . 16 October 2022 . University of Toronto.
3. News: ASA Fellows . 16 October 2022 . American Statistical Association.