Athanasios Kottas

Professor of Statistics
Department of Applied Mathematics and Statistics
Baskin School of Engineering
University of California, Santa Cruz

Office: 365A Baskin Engineering
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 2012 -- present: Professor, Department of Applied Mathematics and Statistics, UCSC.
  • July 2008 -- June 2012: Associate Professor, Department of Applied Mathematics and Statistics, UCSC.
  • July 2002 -- June 2008: Assistant Professor, 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
  • Associate Editor for Bayesian Analysis (since April 2008)
  • Associate Editor for Sankhya Series B (since January 2016)
  • Action Editor for the Journal of Machine Learning Research (September 2011 -- August 2013)

    Courses on Bayesian nonparametrics

  • AMS 241: Bayesian Nonparametric Methods
    (offered earlier in 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 nonparametric modeling and inference for mean residual life functions
    2016 Joint Statistical Meetings, Chicago (August 2016).
  • Nonparametric Bayesian modeling for dynamic ordinal regression relationships
    10th Conference on Bayesian Nonparametrics, Raleigh, NC (June 2015).
  • 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).
  • Flexible regression modeling using Bayesian nonparametric mixtures
    Department of Statistics Seminar, Brigham Young University (November 2008).
  • Bayesian nonparametric modeling approaches for quantile regression
    Department of Statistics Seminar, Athens University of Economics and Business, Greece (December 2007).
    Last updated August 4, 2016
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