Estimation and Selection for High-Order Markov Chains with Bayesian Mixture Transition Distribution Models
Heiner, M. and Kottas, A. (2021), Journal of Computational and Graphical Statistics.
(link to article)
Autoregressive Density Modeling with the Gaussian Process Mixture Transition Distribution
Heiner, M. and Kottas, A. (2021), Journal of Time Series Analysis.
(link to article)
Structured priors for sparse probability vectors with application to model selection in Markov chains
Heiner, M., Kottas, A., and Munch, S. (2019), Statistics and Computing, 29.
(link to article)
(link to SharedIt copy)
Modeling the offensive-defensive interaction and resulting outcomes in basketball
Lamas, L., Santana, F., Heiner, M., Ugrinowitsch, C., and Fellingham, G. (2015), PloS one, 10, e0144435.
(link to article)
Skill importance in women’s soccer
Heiner, M., Fellingham, G., and Thomas, C. (2014), Journal of Quantitative Analysis in Sports, 10, 287-302.
(link to article)
Bayesian Nonparametric Density Autoregression with Lag Selection
Heiner, M. and Kottas, A. (2021+), arXiv preprint arXiv:.
(link)
Model-based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France
Heiner, M., Heaton, M., Abbott, B., White, P., Minaudo, C., Dupas, R. (2021+).
Multivariate Receptor Modeling with Widely Dispersed Lichens as Bioindicators of Air Quality
Heiner, M., Grimm, T., Smith, H., Leavitt, S., Christensen, W., Carling, G., St. Clair, L. (2021+).
Trophic interactions, climate change and secondary wildfire interact to control soil water availability after wildfire
Gilman, J., Gill, R., Heiner, M., Hansen, N., (2021+).