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05/25/2023
Fractional Polynomials Models as Special Cases of Bayesian Generalized Nonlinear Models
We propose a framework for fitting fractional polynomials models as spec...
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10/10/2022
A copula-based boosting model for time-to-event prediction with dependent censoring
A characteristic feature of time-to-event data analysis is possible cens...
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07/01/2021
A Machine Learning Approach to Safer Airplane Landings: Predicting Runway Conditions using Weather and Flight Data
The presence of snow and ice on runway surfaces reduces the available ti...
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02/16/2021
Simple statistical models and sequential deep learning for Lithium-ion batteries degradation under dynamic conditions: Fractional Polynomials vs Neural Networks
Longevity and safety of Lithium-ion batteries are facilitated by efficie...
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11/27/2019
Modelling publication bias and p-hacking
Publication bias and p-hacking are two well-known phenomena which strong...
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11/09/2019