This repo is code and methods for a general class of smoothing estimators for change-point regression functions. Articles associated with this work are:
- Thompson, J.R.J. (2024) Iterative Smoothing for Change-point Regression Function Estimation, Journal of Applied Statistics, 1–25.
For ease of usage, the methods for this paper have been coerced into the R package nonsmooth through the function alc().
The experimental fire data used in the article is associated with the following papers:
- Thompson, J.R.J., Wang, X.J., & Braun, W.J. (2020) A mouse model for studying fire spread rates using experimental micro-fires. Journal of Environmental Statistics, 9(1), 1-19.
- Wang, X.J., Thompson, J.R.J., Braun, W.J., & Woolford, D.G. (2019) Fitting a stochastic fire spread model to data. Advances in Statistical Climatology, Meteorology and Oceanography, 5(1), 57-66.
The micro-fire imagery data is available through a Github R package firedata. For any questions about data access or otherwise, please contact me at john.thompson@ubc.ca.