Evolving Marked Point Processes with Application to Wildland Fire Regime Modeling (Publications)
W.J. Braun and J.E. Stafford. Estimating Conditional and Multivariate Density Functions in the Presence of Interval Censoring. Submitted to Environmetrics, August, 2015 and currently under revision. W.J. Braun, X.J. Hu, and X. Kang. Data Sharpening Guided by Global Constraint in Local Regression. Submitted to Computational Statistics and Data Analysis, October, 2015. Ainsworth, L.M. and Dean, C.B. (2016), Zero-inflated Spatial Models. Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data, Lecture Notes in Statistics- Proceedings of the 2015 International Symposium in Statistics, 75-96, doi: 10.1007/978-3-319-31260-6. Hosseini, R., Newlands, N.K., Dean, C.B., Takemura, A. (2015), Statistical Modeling of Soil Moisture, Integrating Satellite Remote-Sensing (SAR) and Ground-Based Data, Remote Sensing 7, 2752-2780. Wolters, M.A., and Dean, C.B. (2015), Issues in the Identification of Smoke in Hyperspectral Satellite Imagery: a Machine Learning Approach, Current Air Quality Issues, Mejadkoorki, F. (ed.), In-Tech, doi: 10.5772/60214. Marchal, Jean, Steve G. Cumming, and Eliot JB McIntire. “Exploiting Poisson additivity to predict fire frequency from maps of fire weather and land cover in boreal forests of Québec, Canada.” Ecography (2016). Da Zhong (Dexen) Xi, Charmaine Dean, Steve Taylor; Joint Models for the Duration and Size of BC Forest Fires (paper in progress). Alisha Albert-Green, W. John Braun, Charmaine Dean; A Spatio-Temporal Cluster Process for Modelling Storm Cells (Paper in progress) Alisha Albert-Green; Thesis: Joint Models for Spatial and Spatio-Temporal Point Processes. Peter Hall, John Braun, Thierry Duchesne (2017). Empirical Fourier methods for interval censored data. (paper in progress). Pier-Olivier Tremblay, Steve Cumming, Thierry Duchesne (2017). Finding factors associated with fire size using a two-stage survival analysis approach. (paper in progress). Amy A. Morin, Alisha Albert-Green, Douglas G. Woolford and David L. Martell. A framework for exploring spatial differences in the control time of forest fires in Ontario, Canada. (paper in progress). Han, L., Braun, W.J. and Loeppky, J. Random coefficient minification models. Statistical Papers, 1–22, 2018. Xiong, Y., Hu, X.J. and Braun, W.J. On the use of Moran’s I statistic with spatio-temporal observations. Submitted to Computational Statistics and Data Analysis, 2016. Marchal, J., Cumming, S.G., and McIntire, E.J.B. (01/2017) Exploiting Poisson additivity to predict fire frequency from maps of fire weather and land cover in boreal forests of Québec, Canada. Ecography 40(1), 200-209. 10.1111/ecog.01849. Marchal, J., Cumming, S.G., and McIntire, E.J.B. (01/2017) Land cover, more than monthly fire weather, drives fire-size distribution in Southern Québec forests: Implications for fire risk management.PLoS ONE 12(6), e0179294. https://doi.org/10.1371/journal.pone.0179294 Tremblay, P-O., Duchesne, T., and Cumming, S. (2018) Survival analysis and classification methods for forest fire size. Accepted for publication in PLOS ONE. Albert-Green, A, Braun, W. J., Dean, C.B. and Miller, C. A Hierarchical Point Process with Application to Storm Cell Modelling. Under revision for Canadian Journal of Statistics. Albert-Green, A., Dean, C.B. and Braun, W.J. A General Framework for the Joint Modelling of Multivariate Zero-Inflated Spatial Processes. Submitted to the Journal of Agricultural, Biological and Environmental Statistics. Xiong, Hu and Braun. On the use of Moran’s I statistic with spatio-temporal observations. Submitted to the Journal of Nonparametric Statistics. Wang, Braun and Woolford. Fitting a stochastic fire spread model to data. To be submitted to Environmetrics. Wang, Braun and Brown. Data sharpening to reduce bias in local polynomial derivative estimation (in preparation). Albert-Green, A., Guttorp, P. and Thorarinsdottir, T. Does Bayes Beat Squinting? Estimating Unobserved Aspects of a Spatial Cluster Process (in preparation).