Michael D. Escobar: Difference between revisions
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'''Michael David Escobar''' is an American biostatistician who is known for Bayesian nonparametrics, mixture models. |
'''Michael David Escobar''' is an American biostatistician who is known for Bayesian nonparametrics, mixture models. |
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== Education and career == |
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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]].<ref name="cv">{{cite news |title=Curriculum Vitae Michael D. Escobar |url=http://individual.utoronto.ca/Escobar/EscobarCV.pdf |access-date=16 October 2022 |publisher=University of Toronto}}</ref> Escobar subsequently joined the [[University of Toronto]] faculty.<ref name="cv"/><ref name="utor">{{cite news |title=Faculty Member Michael Escobar Ph.D. |url=https://www.dlsph.utoronto.ca/faculty-profile/escobar-michael/ |access-date=16 October 2022 |publisher=University of Toronto}}</ref> In 2015, he was elected a fellow of the [[American Statistical Association]].<ref>{{cite news |title=ASA Fellows |url=https://ww2.amstat.org/fellows/ |access-date=16 October 2022 |publisher=American Statistical Association}}</ref> |
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]].<ref name="cv">{{cite news |title=Curriculum Vitae Michael D. Escobar |url=http://individual.utoronto.ca/Escobar/EscobarCV.pdf |access-date=16 October 2022 |publisher=University of Toronto}}</ref> Escobar subsequently joined the [[University of Toronto]] faculty.<ref name="cv"/><ref name="utor">{{cite news |title=Faculty Member Michael Escobar Ph.D. |url=https://www.dlsph.utoronto.ca/faculty-profile/escobar-michael/ |access-date=16 October 2022 |publisher=University of Toronto}}</ref> In 2015, he was elected a fellow of the [[American Statistical Association]].<ref>{{cite news |title=ASA Fellows |url=https://ww2.amstat.org/fellows/ |access-date=16 October 2022 |publisher=American Statistical Association}}</ref> |
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== Bibliography == |
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* {{Cite journal |last=Escobar |first=Michael D. |date=1994 |title=Estimating Normal Means with a Dirichlet Process Prior |url=http://www.tandfonline.com/doi/abs/10.1080/01621459.1994.10476468 |journal=Journal of the American Statistical Association |language=en |volume=89 |issue=425 |pages=268–277 |doi=10.1080/01621459.1994.10476468 |issn=0162-1459}} |
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* {{Cite journal |last=Escobar |first=Michael D. |last2=West |first2=Mike |date=1995 |title=Bayesian Density Estimation and Inference Using Mixtures |url=http://www.tandfonline.com/doi/abs/10.1080/01621459.1995.10476550 |journal=Journal of the American Statistical Association |language=en |volume=90 |issue=430 |pages=577–588 |doi=10.1080/01621459.1995.10476550 |issn=0162-1459}} |
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* {{Citation |last=Escobar |first=Michael D. |title=Computing Nonparametric Hierarchical Models |date=1998 |url=http://link.springer.com/10.1007/978-1-4612-1732-9_1 |work=Practical Nonparametric and Semiparametric Bayesian Statistics |volume=133 |pages=1–22 |editor-last=Dey |editor-first=Dipak |access-date=2023-04-11 |place=New York, NY |publisher=Springer New York |doi=10.1007/978-1-4612-1732-9_1 |isbn=978-0-387-98517-6 |last2=West |first2=Mike |editor2-last=Müller |editor2-first=Peter |editor3-last=Sinha |editor3-first=Debajyoti}} |
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* {{Cite journal |last=Austin |first=Peter C |last2=Escobar |first2=Michael |last3=Kopec |first3=Jacek A |date=2000 |title=The use of the Tobit model for analyzing measures of health status |url=http://link.springer.com/10.1023/A:1008938326604 |journal=Quality of Life Research |volume=9 |issue=8 |pages=901–910 |doi=10.1023/A:1008938326604}} |
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==References== |
==References== |
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Revision as of 05:52, 11 April 2023
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. 89 (425): 268–277. doi:10.1080/01621459.1994.10476468. ISSN 0162-1459.
- Escobar, Michael D.; West, Mike (1995). "Bayesian Density Estimation and Inference Using Mixtures". Journal of the American Statistical Association. 90 (430): 577–588. doi:10.1080/01621459.1995.10476550. ISSN 0162-1459.
- Escobar, Michael D.; West, Mike (1998), Dey, Dipak; Müller, Peter; Sinha, Debajyoti (eds.), "Computing Nonparametric Hierarchical Models", Practical Nonparametric and Semiparametric Bayesian Statistics, vol. 133, New York, NY: Springer New York, pp. 1–22, doi:10.1007/978-1-4612-1732-9_1, ISBN 978-0-387-98517-6, retrieved 2023-04-11
- 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. doi:10.1023/A:1008938326604.
References
- ^ a b "Curriculum Vitae Michael D. Escobar" (PDF). University of Toronto. Retrieved 16 October 2022.
- ^ "Faculty Member Michael Escobar Ph.D." University of Toronto. Retrieved 16 October 2022.
- ^ "ASA Fellows". American Statistical Association. Retrieved 16 October 2022.
