Athanasios Kottas
Professor of Statistics
Baskin School of Engineering
University of California, Santa Cruz
Office: 523 Engineering 2 Building
Phone: 831-459-5536
E-mail: thanos@soe.ucsc.edu
Education
Ph.D. in Statistics (2000),
Department of Statistics ,
University of Connecticut.
M.Sc. in Statistics and Operations Research (1996),
Department of
Mathematics ,
University of Ioannina , Greece.
B.Sc. in Mathematics (1994), Department of Mathematics,
University of Ioannina, Greece.
Employment
July 2018 -- present: Professor, Department of Statistics, UCSC.
July 2002 -- June 2018: Assistant Professor (2002--2008), Associate Professor
(2008--2012), Professor (2012--2018),
Department of Applied Mathematics
and Statistics, UCSC.
August 2000 -- June 2002: Visiting Assistant Professor, Institute
of Statistics and Decision Sciences, Duke University.
Research interests:
Bayesian nonparametrics; Mixture models; Modeling and inference for point processes;
Nonparametric regression; Survival analysis.
Applications in biometrics, ecology and the environmental sciences.
Publications and work in progress
Students
Editorial Service
Editor for
Bayesian Analysis (since December 2018)
Associate Editor for Bayesian Analysis
(April 2008 -- December 2018), and for
Sankhya Series B (January 2016 -- December 2018)
Action Editor for the
Journal of Machine Learning Research
(September 2011 -- August 2013)
Courses on Bayesian nonparametrics
UCSC course
Bayesian Nonparametric Methods
(offered earlier in Spring 2018, Fall 2015, Fall 2012, Fall 2010, Winter 2009, Fall 2006, Spring 2004).
Notes from a short course on "Applied Bayesian Nonparametric
Mixture Modeling", presented at the ISBA 2014 World Meeting,
Cancun, Mexico, July 13, 2014;
co-presented with Abel Rodriguez
(Session 1, Session 2,
Session 3, Session 4,
References).
Earlier versions of this short course have been presented at the
2013 Joint Statistical Meetings, Montreal, Canada
(co-presented with Abel Rodriguez);
at the
National University of Ireland, Galway,
December 14-15, 2009 (co-presented with Milovan Krnjajic);
at the 2009 Joint Statistical Meetings,
Washington, DC
(co-presented with Abel Rodriguez);
at the 2006 Joint Statistical Meetings, Seattle, WA
(co-presented with Alan Gelfand); and at the
30th Annual Summer Institute of Applied Statistics,
Brigham Young University, June 15-17, 2005 (co-presented with David Draper).
A sample of conference/seminar talks
Bayesian quantile mixture regression
12th International Conference on Bayesian Nonparametrics,
Oxford, U.K. (June 2019).
Dynamic ordinal regression modeling, with applications to estimating natural
selection surfaces
BIRS Workshop: Bayesian Nonparametric Inference: Dependence Structures and
their Applications, Oaxaca, Mexico (December 2017).
Bayesian nonparametric modeling and inference for mean residual life functions
2016 Joint Statistical Meetings, Chicago (August 2016).
Bayesian point process modeling for extreme value analysis, with an
application to systemic risk assessment in correlated financial
markets
2014 Joint Statistical Meetings, Boston (August 2014).
Nonparametric Bayesian modeling and inference for renewal processes
ISBA 2014 World Meeting, Cancun, Mexico (July 2014).
Nonparametric Bayesian analysis of developmental toxicity experiments
with clustered discrete-continuous outcomes
ISBA 2012 World Meeting, Kyoto, Japan (June 2012).
Bayesian nonparametric Poisson process modeling with applications
Neyman Seminar, Department of Statistics, University of
California, Berkeley (November 2011).
Computational methods for Bayesian inference in sensitivity analysis
of computer simulators
2011 WNAR/IMS Meeting, California Polytechnic State
University, San Luis Obispo (June 2011).
A Bayesian nonparametric modeling approach for developmental
toxicology data
2010 Summer Program on Semiparametric Bayesian Inference:
Applications in Pharmacokinetics and Pharmacodynamics,
SAMSI (July 2010).
Nonparametric mixture modeling for Poisson processes
CRiSM workshop on Model Uncertainty, University of Warwick,
U.K. (June 2010).
Nonparametric Bayesian inference under stochastic order constraints,
with an application in epidemiology
Econometrics and Statistics Colloquium,
The University of Chicago Booth School of Business (February 2010).
thanos@soe.ucsc.edu
Last updated July 27, 2020