TSPred Package for R : Framework for Nonstationary Time Series Prediction
R package for nonstationary spatial modeling with covariate-based covariance functions
Reduction of boundary effects in real-time time-frequency analysis
Parameter estimation for the non-stationary ETAS model based on the method of Lei et al. (2013, 2017)
R code for paper 'Bayesian model selection for unit root testing with multiple structural breaks'
Stochastic simulations of population abundance with known component density feedback on survival to test for ability to return ensemble feedback signal
Modeling non-stationary ETAS models using spline functions, with weight coefficients as function inputs
A Gaussian kernel function is used to smoothly weight the background probability, enabling the construction of a non-stationary ETAS model.
Research case
Add a description, image, and links to the nonstationarity topic page so that developers can more easily learn about it.
To associate your repository with the nonstationarity topic, visit your repo's landing page and select "manage topics."