Saved in:
| Main Authors: | Rüter, Lotta, Schienle, Melanie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.02440 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simple Macroeconomic Forecast Distributions for the G7 Economies
by: Becker, Friederike, et al.
Published: (2024)
by: Becker, Friederike, et al.
Published: (2024)
Predicting Value at Risk for Cryptocurrencies With Generalized Random Forests
by: Buse, Rebekka, et al.
Published: (2022)
by: Buse, Rebekka, et al.
Published: (2022)
Probabilistic intraday electricity price forecasting using generative machine learning
by: Chen, Jieyu, et al.
Published: (2025)
by: Chen, Jieyu, et al.
Published: (2025)
Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
by: Teng, Wen, et al.
Published: (2024)
by: Teng, Wen, et al.
Published: (2024)
Determination of Optimum Warranty Region for Two Dimensional Dependent Data
by: Das, Rathin, et al.
Published: (2025)
by: Das, Rathin, et al.
Published: (2025)
Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
by: Yang, Cheng-Han, et al.
Published: (2026)
by: Yang, Cheng-Han, et al.
Published: (2026)
Penalized Linear Models for Highly Correlated High-Dimensional Immunophenotyping Data
by: Dong, Xiaoru, et al.
Published: (2025)
by: Dong, Xiaoru, et al.
Published: (2025)
Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning Approaches
by: Tang, Dandan, et al.
Published: (2024)
by: Tang, Dandan, et al.
Published: (2024)
Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
by: Li, Qiushuang, et al.
Published: (2025)
by: Li, Qiushuang, et al.
Published: (2025)
Flexible Models for Simple Longitudinal Data
by: Ogden, Helen
Published: (2024)
by: Ogden, Helen
Published: (2024)
Bayesian Joint Modeling of Zero-Inflated Longitudinal Data and Survival with a Cure Fraction: Application to AIDS Data
by: Baghfalaki, Taban, et al.
Published: (2025)
by: Baghfalaki, Taban, et al.
Published: (2025)
Interpretable Machine Learning for Cognitive Aging: Handling Missing Data and Uncovering Social Determinant
by: Mao, Xi, et al.
Published: (2025)
by: Mao, Xi, et al.
Published: (2025)
Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
by: Kim, Seongmin, et al.
Published: (2025)
by: Kim, Seongmin, et al.
Published: (2025)
Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
by: Bhuyan, Prajamitra, et al.
Published: (2026)
by: Bhuyan, Prajamitra, et al.
Published: (2026)
Bayesian Variable Selection for High-Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies
by: Bae, Youngho, et al.
Published: (2024)
by: Bae, Youngho, et al.
Published: (2024)
DataMap: A Portable Application for Visualizing High-Dimensional Data
by: Ge, Xijin
Published: (2025)
by: Ge, Xijin
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)
Modeling Information Blackouts in Missing Not-At-Random Time Series Data
by: Sunesh, Aman, et al.
Published: (2026)
by: Sunesh, Aman, et al.
Published: (2026)
Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional Data with Application to Microbiome Data Analysis
by: Li, Danning, et al.
Published: (2024)
by: Li, Danning, et al.
Published: (2024)
Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
by: Goh, Yong Chen, et al.
Published: (2024)
by: Goh, Yong Chen, et al.
Published: (2024)
Multi-state Models For Disease Histories Based On Longitudinal Data
by: Wiegrebe, Simon, et al.
Published: (2025)
by: Wiegrebe, Simon, et al.
Published: (2025)
Multiscale Multi-Type Spatial Bayesian Analysis for High-Dimensional Data with Application to Wildfires and Migration
by: Zhou, Shijie, et al.
Published: (2024)
by: Zhou, Shijie, et al.
Published: (2024)
Analysis of Linked Files: A Missing Data Perspective
by: Kamat, Gauri, et al.
Published: (2024)
by: Kamat, Gauri, et al.
Published: (2024)
Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data
by: Park, Seeun, et al.
Published: (2024)
by: Park, Seeun, et al.
Published: (2024)
cardinalR: Generating Interesting High-Dimensional Data Structures
by: Gamage, Jayani P., et al.
Published: (2025)
by: Gamage, Jayani P., et al.
Published: (2025)
Multiple Imputation Method for High-Dimensional Neuroimaging Data
by: Lu, Tong, et al.
Published: (2023)
by: Lu, Tong, et al.
Published: (2023)
Spatial Joint Species N-Mixture Models for Multi-Source Observational Data with Application to Wild Deer Population Abundance
by: Hurley, Aoife K., et al.
Published: (2023)
by: Hurley, Aoife K., et al.
Published: (2023)
Order Determination for Functional Data
by: Zhang, Chi, et al.
Published: (2025)
by: Zhang, Chi, et al.
Published: (2025)
High-Dimensional Multi-Study Robust Factor Model for Analyzing RNA Sequencing Data from Heterogeneous Sources
by: Jiang, Xiaolu, et al.
Published: (2025)
by: Jiang, Xiaolu, et al.
Published: (2025)
Covariance Regression for High Dimensional Neural Data via Graph
by: Wei, Ganchao
Published: (2024)
by: Wei, Ganchao
Published: (2024)
Accounting for Missing Data in Public Health Research Using a Synthesis of Statistical and Mathematical Models
by: Zivich, Paul N, et al.
Published: (2025)
by: Zivich, Paul N, et al.
Published: (2025)
Nonparametric Mean and Variance Adaptive Classification Rule for High-Dimensional Data with Heteroscedastic Variances
by: Oh, Seungyeon, et al.
Published: (2024)
by: Oh, Seungyeon, et al.
Published: (2024)
PROFIT: Projection-based Test in Longitudinal Functional Data
by: Koner, Salil, et al.
Published: (2021)
by: Koner, Salil, et al.
Published: (2021)
Matrix Factorization-Based Solar Spectral Irradiance Missing Data Imputation with Uncertainty Quantification
by: Ke, Yuxuan, et al.
Published: (2025)
by: Ke, Yuxuan, et al.
Published: (2025)
Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles
by: Feldman, Joseph, et al.
Published: (2024)
by: Feldman, Joseph, et al.
Published: (2024)
Prediction with Missing Data: Target Probabilities and Missingness Mechanisms
by: Catoire, Pierre, et al.
Published: (2026)
by: Catoire, Pierre, et al.
Published: (2026)
A Multivariate Multilevel Longitudinal Functional Model for Repeatedly Observed Human Movement Data
by: Gunning, Edward, et al.
Published: (2024)
by: Gunning, Edward, et al.
Published: (2024)
Bridging the Gap: Introducing Joint Models for Longitudinal and Time-to-event Data in the Social Sciences
by: Potts, Sophie, et al.
Published: (2025)
by: Potts, Sophie, et al.
Published: (2025)
A Comparison of Full Information Maximum Likelihood and Machine Learning Missing Data Analytical Methods in Growth Curve Modeling
by: Tang, Dandan, et al.
Published: (2023)
by: Tang, Dandan, et al.
Published: (2023)
Generalizing Trimming Bounds for Endogenously Missing Outcome Data Using Random Forests
by: Samii, Cyrus, et al.
Published: (2023)
by: Samii, Cyrus, et al.
Published: (2023)
Similar Items
-
Simple Macroeconomic Forecast Distributions for the G7 Economies
by: Becker, Friederike, et al.
Published: (2024) -
Predicting Value at Risk for Cryptocurrencies With Generalized Random Forests
by: Buse, Rebekka, et al.
Published: (2022) -
Probabilistic intraday electricity price forecasting using generative machine learning
by: Chen, Jieyu, et al.
Published: (2025) -
Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
by: Teng, Wen, et al.
Published: (2024) -
Determination of Optimum Warranty Region for Two Dimensional Dependent Data
by: Das, Rathin, et al.
Published: (2025)