## Work in progress

Xiao, S., Kottas, A. and Sanso, B. (2018).
Nonparametric Bayesian modeling and inference for renewal processes.

Richardson, R., Kottas, A. and Sanso, B. (2017).
Spatio-temporal modelling using integro-difference equations with
bivariate stable kernels.

Poynor, V. and Kottas, A. (2017).
Bayesian nonparametric modeling for mean residual life regression.

Yan, Y. and Kottas, A. (2015).
A new family of error distributions for Bayesian quantile regression.

## Publications

### Book chapters

DeYoreo, M. and Kottas, A. (2019).
``Bayesian nonparametric density regression for ordinal responses''

To appear in
*Flexible Bayesian Regression Modeling*, J.-L. Dortet-Bernadet,
Y. Fan, D. Nott and M. Smith (Editors), Elsevier.

Kottas, A. (2016).
``Bayesian nonparametric modeling for disease incidence data''

In *Handbook of Spatial Epidemiology*,
A.B. Lawson, S. Banerjee, R.P. Haining and M.D. Ugarte (Editors),
Chapman and Hall/CRC, pp. 363-374.

(An earlier version is available as
SOE Technical Report 2015-13.)

Kottas, A. and Fronczyk, K. (2013).
``Flexible Bayesian modelling for clustered categorical responses in
developmental toxicology''

In *Bayesian Theory and Applications*, P. Damien,
P. Dellaportas, N.G. Polson and D.A. Stephens (Editors), Oxford
University Press, pp. 70-83.

(An earlier version is available as
SOE Technical Report 2012-02.)

### Journal papers

**49.**
Heiner, M., Kottas, A. and Munch, S.
``Structured priors for sparse probability vectors with application to
model selection in Markov chains.''

To appear in *Statistics and Computing*.

(An earlier version is available as
SOE Technical Report 2018-06.)

**48.**
Cadonna, A., Kottas, A. and Prado, R.
``Bayesian spectral modeling for multiple time series.''

To appear in *Journal of the American Statistical Association*.

(An earlier version is available as
SOE Technical Report 2016-15.)

**47.**
Poynor, V. and Kottas, A.
``Nonparametric Bayesian inference for mean residual life functions in survival analysis.''

Published
on-line
in *Biostatistics*.

(An earlier version is available as
stat.ME arXiv:1411.7481 paper.)

**46.**
DeYoreo, M. and 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.

(An earlier version is available as
SOE Technical Report 2015-15.)

**45.**
DeYoreo, M. and Kottas, A. (2018).
Bayesian nonparametric modeling for multivariate ordinal regression.

*Journal of Computational and Graphical Statistics*, 27, 71-84.

(An earlier version is available as
SOE Technical Report 2015-14.)

**44.**
Richardson, R., Kottas, A. and Sanso, B. (2018).
Bayesian nonparametric modeling for integro-difference equations.

*Statistics and Computing*, 28, 87-101.

(An earlier version is available as
SOE Technical Report 2016-06.)

**43.**
Fronczyk, K. and Kottas, A. (2017).
Risk assessment for toxicity experiments with discrete and continuous
outcomes: A Bayesian nonparametric approach.

*Journal of Agricultural, Biological, and Environmental Statistics*,
22, 585-601.

(An earlier version is available as
SOE Technical Report 2014-06.)

**42.**
DeYoreo, M. and Kottas, A. (2017).
A Bayesian nonparametric Markovian model for nonstationary time series.

*Statistics and Computing*, 27, 1525-1538.

(An earlier version is available as
SOE Technical Report 2016-05.)

**41.**
Rodriguez, A., Wang, Z. and 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.

(An earlier version is available as
SOE Technical Report 2017-01.)

**40.**
Cadonna, A., Kottas, A. and Prado, R. (2017).
Bayesian mixture modeling for spectral density estimation.

*Statistics and Probability Letters*, 125, 189-195.

(An earlier version is available as
SOE Technical Report 2015-04.)

**39.**
Richardson, R., Kottas, A. and Sanso, B. (2017).
Flexible integro-difference equation modeling for spatio-temporal data.

*Computational Statistics and Data Analysis*, 109, 182-198.

(An earlier version is available as
SOE Technical Report 2014-10.)

**38.**
DeYoreo, M. and Kottas, A. (2015).
A fully nonparametric modeling approach to binary regression.

*Bayesian Analysis*, 10, 821-847.

**37.**
Xiao, S., Kottas, A. and Sanso, B. (2015).
Modeling for seasonal marked point processes: An analysis of evolving
hurricane occurrences.

*The Annals of Applied Statistics*, 9, 353-382.

(An earlier version is available as
SOE Technical Report 2013-16.)

**36.**
Fellingham, G.W., Kottas, A. and Hartman, B.M. (2015).
Bayesian nonparametric predictive modeling of group health claims.

*Insurance: Mathematics and Economics*, 60, 1-10.

(An earlier version is available as
SOE Technical Report 2014-13.)

**35.**
Fronczyk, K. and Kottas, A. (2014).
A Bayesian nonparametric modeling framework for developmental
toxicity studies (with discussion).

*Journal of the American Statistical Association*, 109,
873-893.

(An earlier version is available as
SOE Technical Report 2010-11.)

**34.**
Farah, M. and Kottas, A. (2014).
Bayesian inference for sensitivity analysis of computer simulators,
with an application to radiative transfer models.

*Technometrics*, 56, 159-173.

(An earlier version is available as
SOE Technical Report 2010-15.)

**33.**
Fronczyk, K. and Kottas, A. (2014).
A Bayesian approach to the analysis of quantal bioassay studies
using nonparametric mixture models.

*Biometrics*, 70, 95-102.

(An earlier version is available as
SOE Technical Report 2012-01.)

**32.**
Kiziltan, B., Kottas, A., DeYoreo, M. and Thorsett, S.E. (2013).
The neutron star mass distribution.

*The Astrophysical Journal*, 778:66 (12pp).

(An earlier version is available as
SOE Technical Report 2010-35.)

**31.**
Farah, M., Kottas, A. and Morris, R.D. (2013).
An application of semiparametric Bayesian isotonic regression to the
study of radiation effects in spaceborne microelectronics.

*Journal of the Royal Statistical Society, Series C*, 62, 3-24.

(An earlier version is available as
SOE Technical Report 2010-13.)

**30.**
Kottas, A., Wang, Z. and Rodriguez, A. (2012).
Spatial modeling for risk assessment of extreme values from
environmental time series: a Bayesian nonparametric approach.

*Environmetrics* (Special Issue on "Quantitative
Risk Assessment"), 23, 649-662.

(An earlier version is available as
SOE Technical Report 2012-17.)

**29.**
Taddy, M. and Kottas, A. (2012).
Mixture modeling for marked Poisson processes.

*Bayesian Analysis*, 7, 335-362.

**28.**
Fronczyk, K., Kottas, A. and Munch, S. (2012).
Flexible modeling for stock-recruitment relationships using
Bayesian nonparametric mixtures.

*Environmental and Ecological Statistics*, 19, 183-204.

(An earlier version is available as
SOE Technical Report 2009-17.)

**27.**
Kottas, A., Behseta, S., Moorman, D.E., Poynor, V. and Olson, C. (2012).
Bayesian nonparametric analysis of neuronal intensity rates.

*Journal of Neuroscience Methods*, 203, 241-253.

(An earlier version is available as
SOE Technical Report 2011-20.)

**26.**
Kottas, A. and Fellingham, G.W. (2012).
Bayesian semiparametric modeling and inference with mixtures of
symmetric distributions.

*Statistics and Computing*, 22, 93-106.

**25.**
Kottas, A. (2011).
Bayesian semiparametric modeling for stochastic precedence, with
applications in epidemiology and survival analysis.

*Lifetime Data Analysis* (Special Issue on
"Bayesian Models for Survival Data"), 17, 135-155.

(An earlier version is available as
SOE Technical Report 2009-27.)

**24.**
Taddy, M. and Kottas, A. (2010).
A Bayesian nonparametric approach to inference for quantile regression.

*Journal of Business and Economic Statistics*, 28, 357-369.

(An earlier version is available as
AMS Technical Report 2007-21.)

**23.**
Carlson, S.M., Kottas, A. and Mangel, M. (2010).
Bayesian analysis of size-dependent overwinter mortality from
size-frequency distributions.

*Ecology*, 91, 1016-1024.

**22.**
Kottas, A. and Behseta, S. (2010).
Bayesian nonparametric modeling for comparison of single-neuron
firing intensities.

*Biometrics*, 66, 277-286.

(An earlier version is available as
AMS Technical Report 2008-4.)

**21.**
Taddy, M. and Kottas, A. (2009).
Markov switching Dirichlet process mixture regression.

*Bayesian Analysis*, 4, 793-816.

**20.**
Bayarri, M.J., Berger, J.O., Kennedy, M.C., Kottas, A.,
Paulo, R., Sacks, J., and Cafeo, J.A., Lin, C.H., Tu, J. (2009).

Predicting vehicle crashworthiness: Validation of computer models for
functional and hierarchical data.

*Journal of the American Statistical Association*, 104, 929-943.

(An earlier version is available as
NISS Technical Report 163.)

**19.**
Kottas, A. and Krnjajic, M. (2009).
Bayesian semiparametric modelling in quantile regression.

*Scandinavian Journal of Statistics*, 36, 297-319.

(An earlier version is available as
AMS Technical Report 2005-6.)

**18.**
Munch, S.B. and Kottas, A. (2009).
A Bayesian modeling approach for determining productivity regimes and
their characteristics.

*Ecological Applications*, 19, 527-537.

(An earlier version is available as
AMS Technical Report 2008-6.)

**17.**
Morris, R.D., Kottas, A., Taddy, M., Furfaro, R. and Ganapol,
B.D. (2008). A statistical framework for the sensitivity analysis of
radiative transfer models.

*IEEE Transactions on Geoscience and Remote Sensing*, 46,
4062-4074.

**16.**
Hanson, T., Kottas, A. and Branscum, A. (2008).
Modeling stochastic order in the analysis of ROC data: Bayesian
nonparametric approaches.

*Journal of the Royal Statistical Society, Series C*, 57, 207-225.

**15.**
Kottas, A., Duan, J. and Gelfand, A.E. (2008).
Modeling disease incidence data with spatial and spatio-temporal
Dirichlet process mixtures.

*Biometrical Journal*, 50, 29-42.

**14.**
Krnjajic, M., Kottas, A. and Draper, D. (2008).
Parametric and nonparametric Bayesian model specification:
A case study involving models for count data.

*Computational Statistics & Data Analysis*, 52, 2110-2128.

**13.**
Viswanath, K., Obraczka, K., Kottas, A. and Sanso, B. (2007).
Statistical equivalent models for computer
simulators with an application to the Random Waypoint Mobility Model.

*SIMULATION*, 83, 157-172.

**12.**
Kottas, A. and Sanso, B. (2007).
Bayesian mixture modeling for spatial Poisson process
intensities, with applications to extreme value analysis.

*Journal of Statistical Planning and Inference*
(Special Issue on "Bayesian Inference in Stochastic Processes"),
137, 3151-3163.

**11.**
Kottas, A. (2006). Nonparametric Bayesian survival analysis
using mixtures of Weibull distributions.

*Journal of Statistical Planning and Inference*, 136, 578-596.

**10.**
Kottas, A., Mueller, P. and Quintana, F. (2005).
Nonparametric Bayesian modeling for multivariate ordinal data.

*Journal of Computational and Graphical Statistics*, 14,
610-625.

**9.**
Gelfand, A.E., Kottas, A. and MacEachern, S.N. (2005).
Bayesian nonparametric spatial modeling with Dirichlet process
mixing.

*Journal of the American Statistical Association*,
100, 1021-1035.

**8.**
Munch, S.B., Kottas, A. and Mangel, M. (2005). Bayesian
nonparametric analysis of stock-recruitment relationships.

*Canadian Journal of Fisheries & Aquatic Sciences*,
62, 1808-1821.

**7.**
Gelfand, A.E. and Kottas, A. (2003). Bayesian semiparametric
regression for median residual life.

* Scandinavian Journal of Statistics*, 30, 651-665.

**6.**
Kottas, A., Branco, M.D. and Gelfand, A.E. (2002). A
nonparametric Bayesian modeling approach for cytogenetic
dosimetry.

* Biometrics*, 58, 593-600.

**5.**
Gelfand, A.E. and Kottas, A. (2002). A computational approach
for full nonparametric Bayesian inference under Dirichlet process
mixture models.

* Journal of Computational and Graphical Statistics*, 11, 289-305.

**4.**
Kottas, A. and Gelfand, A.E. (2001). Modeling variability order:
A semiparametric Bayesian approach.

*Methodology and
Computing in Applied Probability*, 3, 427-442.

**3.**
Kottas, A. and Gelfand, A.E. (2001). Bayesian semiparametric
median regression modeling.

*Journal of the
American Statistical Association*, 96, 1458-1468.

**2.**
Gelfand, A.E. and Kottas, A. (2001). Nonparametric Bayesian
modeling for stochastic order.

*Annals of the
Institute of Statistical Mathematics*, 53, 865-876.

**1.**
Kottas, A., Adamidis, K. and Loukas, S. (1999). Bivariate
distributions with Pearson Type VII conditionals.

*Annals of
the Institute of Statistical Mathematics*, 51, 331-344.

### Refereed proceedings papers

Viswanath, K., Obraczka, K., Kottas, A. and Sanso, B. (2006).
"A Statistical Equivalent Model for Random Waypoint Mobility: A Case
Study"

*
Proceedings of Symposium on Performance Evaluation of Computer and
Telecommunication Systems (SPECTS) 06*, July 31 -- August 2, 2006,
Calgary, Canada.

Kottas, A. (2006).
"Dirichlet Process Mixtures of Beta Distributions, with Applications to
Density and Intensity Estimation"

*Proceedings of the Workshop on Learning with Nonparametric
Bayesian Methods*, 23rd International Conference on Machine
Learning, June 2006, Pittsburgh, PA.

### Other publications

Kottas, A. (2018). Invited Discussion of
``Nonparametric Bayesian Inference in Applications'' by
Peter Mueller, Fernando A. Quintana and Garritt L. Page,
*Statistical Methods and Applications*, 27, pp. 219-225.

Kottas, A., DeYoreo, M. and Poynor, V. (2013).
Contributed Discussion
of ``Bayesian Nonparametric Inference -- Why and How'' by
Peter Mueller and Riten Mitra, *Bayesian Analysis*, 8,
pp. 338-341.

Kottas, A. (2009). Review for book "Statistical Challenges in
Modern Astronomy IV" (G. Joseph Babu and Eric D. Feigelson eds.)
*Journal of the American Statistical Association*,
104, 418-419.

Kottas, A., Krnjajic, M. and Taddy, M. (2007).
``Model-based approaches to nonparametric
Bayesian quantile regression''

Proceedings of the *2007 Joint Statistical Meetings*,
IMS, pp. 1137-1148.

Kottas, A. (2007). "Survival Analysis, Nonparametric"
*Encyclopedia of Statistics in Quality and Reliability*
Ruggeri, F., Kenett, R. and Faltin, F.W. (eds). John Wiley &
Sons Ltd, Chichester, UK, pp. 1958-1962.

Morris, R.D., Kottas, A., Furfaro, R., Taddy, M.
and Ganapol, B. (2007). "An Analysis of the Uncertainties in Radiative
Transfer Models Used in Remote Sensed Data Product Generation"
Proceedings of the *NASA Science Technology Conference*, June 2007.

Kottas, A., Duan, J. and Gelfand, A.E. (2006).
"Bayesian Nonparametric Spatio-Temporal Models for Disease Incidence
Data"

Proceedings of the *2006 Joint Statistical Meetings*,
ASA Section on Bayesian Statistical Science, pp. 60-71.

Kottas, A., Mueller, P. and Quintana, F.A. (2003).
"A Nonparametric Bayesian Model for Multivariate Ordinal Data"

*Proceedings of the 2003 Joint Statistical Meetings*,
pp 2253-2257.

Bayarri, M.J., Berger, J.O., Higdon, D., Kennedy, M.C., Kottas,
A., Paulo, R., Sacks, J., Cafeo, J.A., Cavendish, J., Lin, C.H. and Tu,
J. (2002).
"A Framework for Validation of Computer Models"
* Proceedings of the Workshop on Foundations for V&V in the 21st
Century*, D. Pace and S. Stevenson (Editors). Society for Modeling
and Simulation International.

MacEachern, S.N., Kottas, A. and Gelfand, A.E. (2001).
"Spatial Nonparametric Bayesian Models"

* Proceedings of the 2001 Joint Statistical Meetings*.

thanos@soe.ucsc.edu
Last updated February 9, 2019