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Found 5 papers, 2 papers with code
A copula-based boosting model for time-to-event prediction with dependent censoring
A characteristic feature of time-to-event data analysis is possible censoring of the event time.
A Decision Support System for Safer Airplane Landings: Predicting Runway Conditions Using XGBoost and Explainable AI
In this study, XGBoost is used to create a combined runway assessment system, which includes a classification model to identify slippery conditions and a regression model to predict the level of slipperiness.
Multivariable Fractional Polynomials for lithium-ion batteries degradation models under dynamic conditions
We conclude that the MFP regression is effective and competitive with contemporary works, and provides several additional advantages e. g. in terms of interpretability, generalisability, and implementability.
Modelling publication bias and p-hacking
Publication bias and p-hacking are two well-known phenomena which strongly affect the scientific literature and cause severe problems in meta-analysis studies.
Methodology Applications
A U-statistic estimator for the variance of resampling-based error estimators
Thus, it has minimal variance among all unbiased estimators and is asymptotically normally distributed.
