Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study
Fuente:
arXiv
Saved in:
| Main Authors: | Schwerter, Jakob, Romero, Andrés, Dumpert, Florian, Pauly, Markus |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies
by: Schwerter, Jakob, et al.
Published: (2024)
by: Schwerter, Jakob, et al.
Published: (2024)
Adapting tree-based multiple imputation methods for multi-level data? A simulation study
by: Föge, Nico, et al.
Published: (2024)
by: Föge, Nico, et al.
Published: (2024)
Cross-Course Generalizability of SRL-Aligned Predictive Models Using Digital Learning Traces
by: Schwerter, Jakob, et al.
Published: (2026)
by: Schwerter, Jakob, et al.
Published: (2026)
Feature Selection for Latent Factor Models
by: Kansabanik, Rittwika, et al.
Published: (2024)
by: Kansabanik, Rittwika, et al.
Published: (2024)
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records
by: Li, Wenrui, et al.
Published: (2021)
by: Li, Wenrui, et al.
Published: (2021)
Multivariate Time Series Data Imputation via Distributionally Robust Regularization
by: Liao, Che-Yi, et al.
Published: (2026)
by: Liao, Che-Yi, et al.
Published: (2026)
Predictive Uncertainty in Short-Term PV Forecasting under Missing Data: A Multiple Imputation Approach
by: Pashmchi, Parastoo, et al.
Published: (2026)
by: Pashmchi, Parastoo, et al.
Published: (2026)
Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R Implementation
by: Obster, Fabian, et al.
Published: (2024)
by: Obster, Fabian, et al.
Published: (2024)
High-Dimensional Statistical Process Control via Manifold Fitting and Learning
by: Tas, Burak I., et al.
Published: (2025)
by: Tas, Burak I., et al.
Published: (2025)
Enhancing Credit Default Prediction Using Boruta Feature Selection and DBSCAN Algorithm with Different Resampling Techniques
by: Ampomah, Obu-Amoah, et al.
Published: (2025)
by: Ampomah, Obu-Amoah, et al.
Published: (2025)
ACT-Tensor: Tensor Completion Framework for Financial Dataset Imputation
by: Mo, Junyi, et al.
Published: (2025)
by: Mo, Junyi, et al.
Published: (2025)
How to Simulate Realistic Survival Data? A Simulation Study to Compare Realistic Simulation Models
by: Thurow, Maria, et al.
Published: (2023)
by: Thurow, Maria, et al.
Published: (2023)
Revealing the temporal dynamics of antibiotic anomalies in the infant gut microbiome with neural jump ODEs
by: Adamov, Anja, et al.
Published: (2025)
by: Adamov, Anja, et al.
Published: (2025)
Data-driven Calibration Sample Selection and Forecast Combination in Electricity Price Forecasting: An Application of the ARHNN Method
by: Serafin, Tomasz, et al.
Published: (2025)
by: Serafin, Tomasz, et al.
Published: (2025)
Simulation-Based Optimisation of Batting Order and Bowling Plans in T20 Cricket
by: Ganesh, Tinniam V
Published: (2026)
by: Ganesh, Tinniam V
Published: (2026)
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
by: Chen, Jianmin, et al.
Published: (2022)
by: Chen, Jianmin, et al.
Published: (2022)
Expert-Guided Class-Conditional Goodness-of-Fit Scores for Interpretable Classification with Informative Missingness: An Application to Seismic Monitoring
by: Cohen, Shahar, et al.
Published: (2026)
by: Cohen, Shahar, et al.
Published: (2026)
A Comprehensive Case Study on the Performance of Machine Learning Methods on the Classification of Solar Panel Electroluminescence Images
by: Song, Xinyi, et al.
Published: (2024)
by: Song, Xinyi, et al.
Published: (2024)
Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age
by: Matabuena, Marcos
Published: (2025)
by: Matabuena, Marcos
Published: (2025)
Prediction of Coffee Ratings Based On Influential Attributes Using SelectKBest and Optimal Hyperparameters
by: Agyemang, Edmund, et al.
Published: (2025)
by: Agyemang, Edmund, et al.
Published: (2025)
Interpretable Prediction Rule Ensembles in the Presence of Missing Data
by: Schroeder, Vincent, et al.
Published: (2024)
by: Schroeder, Vincent, et al.
Published: (2024)
Identifying Factors to Help Improve Existing Decomposition-Based PMI Estimation Methods
by: Nau, Anna-Maria, et al.
Published: (2024)
by: Nau, Anna-Maria, et al.
Published: (2024)
Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
by: Zheng, Fangnan, et al.
Published: (2026)
by: Zheng, Fangnan, et al.
Published: (2026)
Evaluating Imputation Techniques for Short-Term Gaps in Heart Rate Data
by: Gupta, Vaibhav, et al.
Published: (2025)
by: Gupta, Vaibhav, et al.
Published: (2025)
Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics
by: Zhao, Chen, et al.
Published: (2023)
by: Zhao, Chen, et al.
Published: (2023)
Robustness is Important: Limitations of LLMs for Data Fitting
by: Liu, Hejia, et al.
Published: (2025)
by: Liu, Hejia, et al.
Published: (2025)
CLVAE: A Variational Autoencoder for Long-Term Customer Revenue Forecasting
by: Näf, Jeffrey, et al.
Published: (2026)
by: Näf, Jeffrey, et al.
Published: (2026)
Topological Feature Search Method for Multichannel EEG: Application in ADHD classification
by: Cai, Tianming, et al.
Published: (2024)
by: Cai, Tianming, et al.
Published: (2024)
Comprehensive Benchmarking of Machine Learning Methods for Risk Prediction Modelling from Large-Scale Survival Data: A UK Biobank Study
by: Oexner, Rafael R., et al.
Published: (2025)
by: Oexner, Rafael R., et al.
Published: (2025)
Feature Augmentations for High-Dimensional Learning
by: Zhu, Xiaonan, et al.
Published: (2025)
by: Zhu, Xiaonan, et al.
Published: (2025)
Enforcing tail calibration when training probabilistic forecast models
by: Wessel, Jakob Benjamin, et al.
Published: (2025)
by: Wessel, Jakob Benjamin, et al.
Published: (2025)
Forecasting the future development in quality and value of professional football players
by: van Arem, Koen W., et al.
Published: (2025)
by: van Arem, Koen W., et al.
Published: (2025)
Learning Individual Reproductive Behavior from Aggregate Fertility Rates via Neural Posterior Estimation
by: Ciganda, Daniel, et al.
Published: (2025)
by: Ciganda, Daniel, et al.
Published: (2025)
Double Machine Learning Methods for Estimating Average Treatment Effects: A Comparative Study
by: Tan, Xiaoqing, et al.
Published: (2022)
by: Tan, Xiaoqing, et al.
Published: (2022)
Selecting Hyperparameters for Tree-Boosting
by: Koster, Floris Jan, et al.
Published: (2026)
by: Koster, Floris Jan, et al.
Published: (2026)
Statistical Reinforcement Learning in the Real World: A Survey of Challenges and Future Directions
by: Gazi, Asim H., et al.
Published: (2026)
by: Gazi, Asim H., et al.
Published: (2026)
A Survey and Comparative Evaluation of Intrinsic Dimension Estimators under the Manifold Hypothesis
by: Bi, Zelong, et al.
Published: (2025)
by: Bi, Zelong, et al.
Published: (2025)
Advancing Tabular Stroke Modelling Through a Novel Hybrid Architecture and Feature-Selection Synergy
by: Islam, Yousuf, et al.
Published: (2025)
by: Islam, Yousuf, et al.
Published: (2025)
Learning Penalty for Optimal Partitioning via Automatic Feature Extraction
by: Nguyen, Tung L, et al.
Published: (2025)
by: Nguyen, Tung L, et al.
Published: (2025)
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules
by: Wessel, Jakob Benjamin, et al.
Published: (2024)
by: Wessel, Jakob Benjamin, et al.
Published: (2024)
Similar Items
-
Evaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies
by: Schwerter, Jakob, et al.
Published: (2024) -
Adapting tree-based multiple imputation methods for multi-level data? A simulation study
by: Föge, Nico, et al.
Published: (2024) -
Cross-Course Generalizability of SRL-Aligned Predictive Models Using Digital Learning Traces
by: Schwerter, Jakob, et al.
Published: (2026) -
Feature Selection for Latent Factor Models
by: Kansabanik, Rittwika, et al.
Published: (2024) -
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records
by: Li, Wenrui, et al.
Published: (2021)