Athanasios Kottas, Ph.D.

Affiliations: 
2000 University of Connecticut, Storrs, CT, United States 
Area:
Statistics
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"Athanasios Kottas"

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Alan E. Gelfand grad student 2000 University of Connecticut
 (Bayesian nonparametric and semiparametric modeling using Dirichlet process mixing: Full inference with novel applications.)
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Publications

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Xiao S, Kottas A, Sansó B, et al. (2020) Nonparametric Bayesian Modeling and Estimation for Renewal Processes Technometrics. 1-16
Cadonna A, Kottas A, Prado R. (2019) Bayesian Spectral Modeling for Multiple Time Series Journal of the American Statistical Association. 114: 1838-1853
Heiner M, Kottas A, Munch S. (2019) Structured priors for sparse probability vectors with application to model selection in Markov chains Statistics and Computing. 29: 1077-1093
Poynor V, Kottas A. (2018) Nonparametric Bayesian inference for mean residual life functions in survival analysis. Biostatistics (Oxford, England)
DeYoreo M, Kottas A. (2018) Bayesian Nonparametric Modeling for Multivariate Ordinal Regression Journal of Computational and Graphical Statistics. 27: 71-84
DeYoreo M, Kottas A. (2018) Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California Journal of the American Statistical Association. 113: 68-80
Richardson R, Kottas A, Sansó B. (2018) Bayesian non-parametric modeling for integro-difference equations Statistics and Computing. 28: 87-101
Rodriguez A, Wang Z, Kottas A. (2017) Assessing systematic risk in the S&P500 index between 2000 and 2011: A Bayesian nonparametric approach The Annals of Applied Statistics. 11: 527-552
Cadonna A, Kottas A, Prado R. (2017) Bayesian mixture modeling for spectral density estimation Statistics & Probability Letters. 125: 189-195
Richardson R, Kottas A, Sansó B. (2017) Flexible integro-difference equation modeling for spatio-temporal data Computational Statistics & Data Analysis. 109: 182-198
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