nonparametric-estimation

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esosetrov / survival_and_duration_analysis

A comprehensive Python survival analysis workflow using statsmodels. Covers Kaplan-Meier estimation, log-rank tests, Cox proportional hazards regression, and alternative approaches like Nelson-Aalen and Accelerated Failure Time models with practical code examples.

survival-analysis kaplan-meier regression-models statsmodels time-to-event survival-curves log-rank-test accelerated-failure-time cox-proportional-hazards hazard-ratio nelson-aalen cumulative-hazard proportional-hazards-assumption nonparametric-estimation

Updated Dec 17, 2025
Jupyter Notebook

OthmaneAnalytics / sb-drift-experiments

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Reproducible experiments for direct nonparametric estimation of Schrödinger-bridge time-series drifts.

time-series statistical-inference kernel-methods reproducibility stochastic-processes optimal-transport schrodinger-bridge nonparametric-estimation

Updated Aug 5, 2026
Python

TsutomuTakeuchiTTT / union-selection-sieve

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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

Updated Sep 11, 2026
Jupyter Notebook

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