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12/09/2021
On the Relation between Prediction and Imputation Accuracy under Missing Covariates
Missing covariates in regression or classification problems can prohibit...
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03/09/2021
Interpretable Machines: Constructing Valid Prediction Intervals with Random Forests
An important issue when using Machine Learning algorithms in recent rese...
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02/04/2021
Universal Approximation Theorems of Fully Connected Binarized Neural Networks
Neural networks (NNs) are known for their high predictive accuracy in co...
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01/19/2021
Goodness (of fit) of Imputation Accuracy: The GoodImpact Analysis
In statistical survey analysis, (partial) non-responders are integral el...
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12/10/2019
Asymptotic based bootstrap approach for matched pairs with missingness in a single-arm
The issue of missing values is an arising difficulty when dealing with p...
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12/05/2019
Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models
Variable selection in sparse regression models is an important task as a...
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12/15/2018
Consistent Estimation of Residual Variance with Random Forest Out-Of-Bag Errors
The issue of estimating residual variance in regression models has exper...
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06/18/2018
A cautionary tale on using imputation methods for inference in matched pairs design
Imputation procedures in biomedical fields have turned into statistical ...
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11/30/2017