Athanasios Kottas

Professor of Statistics
Baskin School of Engineering
University of California, Santa Cruz

Office: 523 Engineering 2 Building
Phone: 831-459-5536

  • 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.

  • 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


    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).
    Last updated July 27, 2020