This repository supports a novel site‑specific approach for detecting non‑stationarity in daily rainfall and building Bayesian stationary and non‑stationary spatial correlation models for data imputation. The imputed data are then used to generate Bayesian IDF curves.

Ba(yesian) Ra(infall extremes) N(etwork design). This repository presents Bayesian, Maximum Likelihood, and L-moments inference methods' effect on IDF curve computation — and how those choices impact urban drainage design.

Random number generation, sampling and subsampling, exploratory data analysis, Markov chain Monte Carlo methods, density estimation and EM algorithm.