Reference implementation of a conditional-likelihood rectangular-sieve estimator for bivariate union-selected data with truncation and one-sided censoring.
python statistics astronomy reproducible-research survival-analysis maximum-likelihood-estimation truncation incomplete-data censoring bivariate-data conditional-likelihood-estimation sieve-estimation luminosity-function nonparametric-estimation
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Sep 11, 2026 - Jupyter Notebook