On the Relation between Prediction and Imputation Accuracy under Missing Covariates von Ramosaj, Burim, Tulowietzki, Justus, Pauly, Markus

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Consistent and unbiased variable selection under indepedent features using Random Forest permutation importance von Ramosaj, Burim, Pauly, Markus

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Predicting missing values: a comparative study on non-parametric approaches for imputation von Ramosaj, Burim, Pauly, Markus

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Consistent estimation of residual variance with random forest Out-Of-Bag errors von Ramosaj, Burim, Pauly, Markus

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A cautionary tale on using imputation methods for inference in matched-pairs design von Ramosaj, Burim, Amro, Lubna, Pauly, Markus

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Asymptotic‐based bootstrap approach for matched pairs with missingness in a single arm von Amro, Lubna, Pauly, Markus, Ramosaj, Burim

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Enhancing endangered species monitoring by lowering data entry requirements with imputation techniques as a preprocessing step for the footprint identification technology (FIT) von Kistner, Frederick, Tulowietzki, Justus, Slaney, Larissa, Alibhai, Sky, Jewell, Zoe, Ramosaj, Burim, Pauly, Markus

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High-sensitivity cardiac troponin I after coronary artery bypass grafting for post-operative decision-making von Omran, Hazem, Deutsch, Marcus A, Groezinger, Elena, Zittermann, Armin, Renner, André, Neumann, Johannes T, Westermann, Dirk, Myles, Paul, Ramosaj, Burim, Pauly, Markus, Scholtz, Werner, Hakim-Meibodi, Kavous, Rudolph, Tanja K, Gummert, Jan, Rudolph, Volker

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Imputing missings in official statistics for general tasks – our vote for distributional accuracy von Thurow, Maria, Dumpert, Florian, Ramosaj, Burim, Pauly, Markus

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Interpretable Machines: Constructing Valid Prediction Intervals with Random Forests von Ramosaj, Burim

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Interpretable Machines: Constructing Valid Prediction Intervals with Random Forests von Ramosaj, Burim

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Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models von Ramosaj, Burim, Pauly, Markus

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Consistent Estimation of Residual Variance with Random Forest Out-Of-Bag Errors von Ramosaj, Burim, Pauly, Markus

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On the Relation between Prediction and Imputation Accuracy under Missing Covariates von Ramosaj, Burim, Tulowietzki, Justus, Pauly, Markus

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Who wins the Miss Contest for Imputation Methods? Our Vote for Miss BooPF von Ramosaj, Burim, Pauly, Markus

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Asymptotic based bootstrap approach for matched pairs with missingness in a single-arm von Amro, Lubna, Pauly, Markus, Ramosaj, Burim

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Universal Approximation Theorems of Fully Connected Binarized Neural Networks von Yayla, Mikail, Günzel, Mario, Ramosaj, Burim, Chen, Jian-Jia

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Goodness (of fit) of Imputation Accuracy: The GoodImpact Analysis von Thurow, Maria, Dumpert, Florian, Ramosaj, Burim, Pauly, Markus

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Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models von Ramosaj, Burim, Pauly, Markus

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A cautionary tale on using imputation methods for inference in matched pairs design von Ramosaj, Burim, Amro, Lubna, Pauly, Markus

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