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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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0111 · Aug 202019922001200920172026
2 results for “Propensity-to-Pay”
Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertaintycs.LG

The study explores machine learning for predicting customer propensity-to-pay uncertainty.

problem Improving customer experience, reducing financial hardship, and managing cash flow risks.
method Investigated machine learning models for predicting propensity-to-pay, focusing on uncertainty estimation.
result Novel Bayesian Neural Network model for binary classification of propensity-to-pay.
Machine LearningPropensity-to-PayUncertainty EstimationCustomer ExperienceFinancial Hardship
2020-08-27abs ↗pdf ↗
Towards a data-driven debt collection strategy based on an advanced machine learning frameworkq-fin.ST

This research improves debt collection strategies using advanced machine learning.

problem Accurate estimation of propensity to pay and cashflow for optimal debt collection.
method Developed a machine learning framework with pre-processing and model selection.
result The proposed model outperforms current industry strategies.
debt collectionmachine learningfinancial sectoramicable negotiationlegal process
2023-11-03abs ↗pdf ↗