Statistical Equivalent Models for Computer Simulators with an Application to the Random Waypoint Mobility Model. - Kumar Viswanath; Katia Obraczka; Athanasios Kottas; Bruno Sansó (Simul., 2007)

Parametric and nonparametric Bayesian model specification: A case study involving models for count data. - Milovan Krnjajic; Athanasios Kottas; David Draper (Comput. Stat. Data Anal., 2008)

A Statistical Framework for the Sensitivity Analysis of Radiative Transfer Models. - Robin D. Morris; Athanasios Kottas; Matthew Taddy; Roberto Furfaro; Barry D. Ganapol (IEEE Trans. Geosci. Remote. Sens., 2008)

Bayesian semiparametric modeling and inference with mixtures of symmetric distributions. - Athanasios Kottas; Gilbert W. Fellingham (Stat. Comput., 2012)

Bayesian Inference for Sensitivity Analysis of Computer Simulators, With an Application to Radiative Transfer Models. - Marian Farah; Athanasios Kottas (Technometrics, 2014)

Flexible integro-difference equation modeling for spatio-temporal data. - Robert Richardson; Athanasios Kottas; Bruno Sansó (Comput. Stat. Data Anal., 2017)

A Bayesian nonparametric Markovian model for non-stationary time series. - Maria DeYoreo; Athanasios Kottas (Stat. Comput., 2017)

Bayesian non-parametric modeling for integro-difference equations. - Robert Richardson; Athanasios Kottas; Bruno Sansó (Stat. Comput., 2018)

Discussion of paper "nonparametric Bayesian inference in applications" by Peter Müller, Fernando A. Quintana and Garritt L. Page. - Athanasios Kottas (Stat. Methods Appl., 2018)

Structured priors for sparse probability vectors with application to model selection in Markov chains. - Matthew Heiner; Athanasios Kottas; Stephan Munch (Stat. Comput., 2019)

Nonparametric Bayesian Modeling and Estimation for Renewal Processes. - Sai Xiao; Athanasios Kottas; Bruno Sansó; Hyotae Kim (Technometrics, 2021)

Estimation and Selection for High-Order Markov Chains with Bayesian Mixture Transition Distribution Models. - Matthew Heiner; Athanasios Kottas (J. Comput. Graph. Stat., 2022)

On Construction and Estimation of Stationary Mixture Transition Distribution Models. - Xiaotian Zheng; Athanasios Kottas; Bruno Sansó (J. Comput. Graph. Stat., 2022)

Erlang mixture modeling for Poisson process intensities. - Hyotae Kim; Athanasios Kottas (Stat. Comput., 2022)

Bayesian nonparametric Erlang mixture modeling for survival analysis. - Yunzhe Li; Juhee Lee; Athanasios Kottas (Comput. Stat. Data Anal., 2024)

Flexible Bayesian modeling for longitudinal binary and ordinal responses. - Jizhou Kang; Athanasios Kottas (Stat. Comput., 2024)