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kcg2015 / Loss_Given_Default_Prediction_Models

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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
  • Updated Oct 7, 2025
  • Jupyter Notebook

RidhimaGupta4 / Predicting-Freshwater-Ecological-Quality-using-Seasonal-GAMMs

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National abundance trend analysis of England’s river macroinvertebrates (1990–2024). Implements a custom R pipeline using Arrow for big data and seasonal interval-censored GAMMs (mgcv) to reconcile legacy categorical records with modern numeric counts.

data-science r sustainability bayesian-inference biodiversity mgcv time-series-analysis ecological-modelling gamms environmental-data censored-regression
  • Updated Apr 1, 2026

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