The determinants of olympic success - tobit model for panel data
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Apr 28, 2024 - R
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tobit-regression
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Aug 27, 2021 - Python
Regression Models for predicting Loss Given Default (LGD) by accounting for the limits of the LGD variable, typically 0% to 100%. In a default scenario, The models predict the expected loss for a loan, where the response variable (LGD) is bounded by total recovery (0) and total loss (1).
regression-models latent-variable-models maximum-likelihood-estimation loss credit-risk truncated-distribution tobit-regression censored-regression loss-given-default
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Oct 7, 2025 - Jupyter Notebook
tobitbayes: Bayesian sparse Tobit regression for censored response via Gibbs sampler
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Nov 20, 2025 - R
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