Interpretable Prediction Rule Ensembles in the Presence of Missing Data
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Schroeder, Vincent, Schwerter, Jakob, Fokkema, Marjolein, Doebler, Philipp |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Adapting tree-based multiple imputation methods for multi-level data? A simulation study
par: Föge, Nico, et autres
Publié: (2024)
par: Föge, Nico, et autres
Publié: (2024)
Cross-Course Generalizability of SRL-Aligned Predictive Models Using Digital Learning Traces
par: Schwerter, Jakob, et autres
Publié: (2026)
par: Schwerter, Jakob, et autres
Publié: (2026)
Early Prediction of Student Performance Using Bayesian Updating with Informative Priors Across Cohorts
par: Schwerter, Jakob, et autres
Publié: (2026)
par: Schwerter, Jakob, et autres
Publié: (2026)
Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study
par: Schwerter, Jakob, et autres
Publié: (2024)
par: Schwerter, Jakob, et autres
Publié: (2024)
Estimating Extreme Wave Surges in the Presence of Missing Data
par: McVittie, James H., et autres
Publié: (2025)
par: McVittie, James H., et autres
Publié: (2025)
Evaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies
par: Schwerter, Jakob, et autres
Publié: (2024)
par: Schwerter, Jakob, et autres
Publié: (2024)
Inverse Probability Weighting of Count Exposures in the Presence of Missing Data: A Simulation Study
par: Danka, Martin N., et autres
Publié: (2026)
par: Danka, Martin N., et autres
Publié: (2026)
Constructing a T-test for Value Function Comparison of Individualized Treatment Regimes in the Presence of Multiple Imputation for Missing Data
par: Lu, Minxin, et autres
Publié: (2023)
par: Lu, Minxin, et autres
Publié: (2023)
Interpretable Machine Learning for Cognitive Aging: Handling Missing Data and Uncovering Social Determinant
par: Mao, Xi, et autres
Publié: (2025)
par: Mao, Xi, et autres
Publié: (2025)
Prediction with Missing Data: Target Probabilities and Missingness Mechanisms
par: Catoire, Pierre, et autres
Publié: (2026)
par: Catoire, Pierre, et autres
Publié: (2026)
Weighted Parameter Estimators of the Generalized Extreme Value Distribution in the Presence of Missing Observations
par: McVittie, James H., et autres
Publié: (2025)
par: McVittie, James H., et autres
Publié: (2025)
Model Determination for High-Dimensional Longitudinal Data with Missing Observations: An Application to Microfinance Data
par: Rüter, Lotta, et autres
Publié: (2024)
par: Rüter, Lotta, et autres
Publié: (2024)
Analysis of Linked Files: A Missing Data Perspective
par: Kamat, Gauri, et autres
Publié: (2024)
par: Kamat, Gauri, et autres
Publié: (2024)
Predictive Uncertainty in Short-Term PV Forecasting under Missing Data: A Multiple Imputation Approach
par: Pashmchi, Parastoo, et autres
Publié: (2026)
par: Pashmchi, Parastoo, et autres
Publié: (2026)
Predicting Stock Price of Construction Companies using Weighted Ensemble Learning
par: Song, Xinyuan
Publié: (2023)
par: Song, Xinyuan
Publié: (2023)
Matrix Factorization-Based Solar Spectral Irradiance Missing Data Imputation with Uncertainty Quantification
par: Ke, Yuxuan, et autres
Publié: (2025)
par: Ke, Yuxuan, et autres
Publié: (2025)
A Sensitivity Analysis Framework for Quantifying Confidence in Decisions in the Presence of Data Uncertainty
par: Wadekar, Adway S., et autres
Publié: (2025)
par: Wadekar, Adway S., et autres
Publié: (2025)
Generalizing Trimming Bounds for Endogenously Missing Outcome Data Using Random Forests
par: Samii, Cyrus, et autres
Publié: (2023)
par: Samii, Cyrus, et autres
Publié: (2023)
Correcting for Missing Data When Evaluating Surrogate Markers in a Clinical Trial
par: Lotspeich, Sarah C., et autres
Publié: (2026)
par: Lotspeich, Sarah C., et autres
Publié: (2026)
Beyond Missing Data: Questionnaire Uncertainty Responses as Early Digital Biomarkers of Cognitive Decline and Neurodegenerative Diseases
par: Lu, Yukun, et autres
Publié: (2025)
par: Lu, Yukun, et autres
Publié: (2025)
Modeling Information Blackouts in Missing Not-At-Random Time Series Data
par: Sunesh, Aman, et autres
Publié: (2026)
par: Sunesh, Aman, et autres
Publié: (2026)
Inference on the Miss Distance in a Conjunction
par: Carpenter, J. Russell, et autres
Publié: (2025)
par: Carpenter, J. Russell, et autres
Publié: (2025)
Nonparametric Mean and Variance Adaptive Classification Rule for High-Dimensional Data with Heteroscedastic Variances
par: Oh, Seungyeon, et autres
Publié: (2024)
par: Oh, Seungyeon, et autres
Publié: (2024)
Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
par: Kim, Seongmin, et autres
Publié: (2025)
par: Kim, Seongmin, et autres
Publié: (2025)
A Data-Consistent Approach to Ensemble Filtering
par: Spence, Rylan, et autres
Publié: (2026)
par: Spence, Rylan, et autres
Publié: (2026)
A District-level Ensemble Model to Enhance Dengue Prediction and Control for the Mekong Delta Region of Vietnam
par: Areed, Wala Draidi, et autres
Publié: (2024)
par: Areed, Wala Draidi, et autres
Publié: (2024)
Diagnostic Evaluation of Spread–Skill Relationships for Convection‐Permitting Ensemble Prediction System
par: Jingzhuo Wang, et autres
Publié: (2026)
par: Jingzhuo Wang, et autres
Publié: (2026)
A Comparison of Full Information Maximum Likelihood and Machine Learning Missing Data Analytical Methods in Growth Curve Modeling
par: Tang, Dandan, et autres
Publié: (2023)
par: Tang, Dandan, et autres
Publié: (2023)
Missing Data Imputation With Granular Semantics and AI-driven Pipeline for Bankruptcy Prediction
par: Chakraborty, Debarati, et autres
Publié: (2024)
par: Chakraborty, Debarati, et autres
Publié: (2024)
Spatially Robust Inference with Predicted and Missing at Random Labels
par: Salerno, Stephen, et autres
Publié: (2026)
par: Salerno, Stephen, et autres
Publié: (2026)
Accounting for Missing Data in Public Health Research Using a Synthesis of Statistical and Mathematical Models
par: Zivich, Paul N, et autres
Publié: (2025)
par: Zivich, Paul N, et autres
Publié: (2025)
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values
par: Caruso, Camillo Maria, et autres
Publié: (2023)
par: Caruso, Camillo Maria, et autres
Publié: (2023)
An integrated selection and routing policy for urban waste collection
par: Wouda, Niels A., et autres
Publié: (2024)
par: Wouda, Niels A., et autres
Publié: (2024)
Extending Explainable Ensemble Trees to Regression Contexts
par: Massimo Aria, et autres
Publié: (2025)
par: Massimo Aria, et autres
Publié: (2025)
Constructing Interpretable Prediction Models with 1D DNNs: An Example in Irregular ECG Classification
par: Lancia, Giacomo, et autres
Publié: (2024)
par: Lancia, Giacomo, et autres
Publié: (2024)
Imputation of Nonignorable Missing Data in Surveys Using Auxiliary Margins Via Hot Deck and Sequential Imputation
par: Yang, Yanjiao, et autres
Publié: (2024)
par: Yang, Yanjiao, et autres
Publié: (2024)
Subgroup detection in linear growth curve models with generalized linear mixed model (GLMM) trees
par: Fokkema, Marjolein, et autres
Publié: (2023)
par: Fokkema, Marjolein, et autres
Publié: (2023)
The Missing Covariate Indicator Method is Nearly Valid Almost Always
par: Xu, Gang, et autres
Publié: (2021)
par: Xu, Gang, et autres
Publié: (2021)
A Comparative Evaluation of a Conditional Median-Based Bayesian Growth Curve Modeling Approach with Missing Data
par: Tang, Dandan, et autres
Publié: (2025)
par: Tang, Dandan, et autres
Publié: (2025)
Noisy Non‐Negative Tucker Decomposition With Sparse Factors and Missing Data
par: Xiongjun Zhang, et autres
Publié: (2025)
par: Xiongjun Zhang, et autres
Publié: (2025)
Documents similaires
-
Adapting tree-based multiple imputation methods for multi-level data? A simulation study
par: Föge, Nico, et autres
Publié: (2024) -
Cross-Course Generalizability of SRL-Aligned Predictive Models Using Digital Learning Traces
par: Schwerter, Jakob, et autres
Publié: (2026) -
Early Prediction of Student Performance Using Bayesian Updating with Informative Priors Across Cohorts
par: Schwerter, Jakob, et autres
Publié: (2026) -
Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study
par: Schwerter, Jakob, et autres
Publié: (2024) -
Estimating Extreme Wave Surges in the Presence of Missing Data
par: McVittie, James H., et autres
Publié: (2025)