Saved in:
| Main Authors: | Steinmeister, Louis, Pauly, Markus |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.18550 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Human Vs. Machines: Who Wins In Semiconductor Market Forecasting?
by: Steinmeister, Louis, et al.
Published: (2024)
by: Steinmeister, Louis, et al.
Published: (2024)
Confidence Intervals for Random Forest Permutation Importance with Missing Data
by: Föge, Nico, et al.
Published: (2025)
by: Föge, Nico, et al.
Published: (2025)
Enhancing Forecasts Using Real-Time Data Flow and Hierarchical Forecast Reconciliation, with Applications to the Energy Sector
by: Neubauer, Lukas, et al.
Published: (2024)
by: Neubauer, Lukas, et al.
Published: (2024)
Permutation Tests Based on the Copula-Graphic Estimator and Their Use for Survival Tree Construction
by: Baur, Pauline, et al.
Published: (2025)
by: Baur, Pauline, et al.
Published: (2025)
A Simulation Study to Compare Inferential Properties when Modelling Ordinal Outcomes: The Case for the (Plain but Robust) Proportional Odds Model
by: Inerle, Stefan, et al.
Published: (2026)
by: Inerle, Stefan, et al.
Published: (2026)
Quadratic Form based Multiple Contrast Tests for Comparison of Group Means
by: Sattler, Paavo, et al.
Published: (2024)
by: Sattler, Paavo, et al.
Published: (2024)
Billions-Scale Forecast Reconciliation
by: Wang, Tianyu, et al.
Published: (2026)
by: Wang, Tianyu, et al.
Published: (2026)
Nonlinear Probabilistic Forecast Reconciliation
by: Biswas, Anubhab, et al.
Published: (2026)
by: Biswas, Anubhab, et al.
Published: (2026)
Multiple Comparison Procedures for Simultaneous Inference in Functional MANOVA
by: Munko, Merle, et al.
Published: (2024)
by: Munko, Merle, et al.
Published: (2024)
Variable selection in linear mixed model meta-regression with suspected interaction effects -- How can tree-based methods help?
by: Igelmann, Jan-Bernd, et al.
Published: (2026)
by: Igelmann, Jan-Bernd, et al.
Published: (2026)
Scaleable Dynamic Forecast Reconciliation
by: Hollyman, Ross, et al.
Published: (2024)
by: Hollyman, Ross, et al.
Published: (2024)
High-dimensional Autoregressive Modeling for Time Series with Hierarchical Structures
by: Li, Lan, et al.
Published: (2025)
by: Li, Lan, et al.
Published: (2025)
Reconciliating Bayesian and frequentist approaches to robustness against outliers
by: Gagnon, Philippe, et al.
Published: (2024)
by: Gagnon, Philippe, et al.
Published: (2024)
Optimal Forecast Reconciliation with Uncertainty Quantification
by: Møller, Jan Kloppenborg, et al.
Published: (2024)
by: Møller, Jan Kloppenborg, et al.
Published: (2024)
Single CASANOVA? Not in multiple comparisons
by: Dormuth, Ina, et al.
Published: (2024)
by: Dormuth, Ina, et al.
Published: (2024)
Early and Late Buzzards: Comparing Different Approaches for Quantile-based Multiple Testing in Heavy-Tailed Wildlife Research Data
by: Baumeister, Marléne, et al.
Published: (2024)
by: Baumeister, Marléne, et al.
Published: (2024)
Change-Point Testing for Risk Measures in Time Series
by: Fan, Lin, et al.
Published: (2018)
by: Fan, Lin, et al.
Published: (2018)
Multiple Imputation of Hierarchical Nonlinear Time Series Data with an Application to School Enrollment Data
by: Liu, Daphne H., et al.
Published: (2024)
by: Liu, Daphne H., et al.
Published: (2024)
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity
by: Kamarthi, Harshavardhan, et al.
Published: (2024)
by: Kamarthi, Harshavardhan, et al.
Published: (2024)
Multivariate and Multiple Contrast Testing in General Covariate-adjusted Factorial Designs
by: Baumeister, Marléne, et al.
Published: (2025)
by: Baumeister, Marléne, et al.
Published: (2025)
Why is Regularization Underused? An Empirical Study on Trust and Adoption of Statistical Methods
by: Thiel, Konstantin Emil, et al.
Published: (2026)
by: Thiel, Konstantin Emil, et al.
Published: (2026)
Cross-Temporal Forecast Reconciliation at Digital Platforms with Machine Learning
by: Rombouts, Jeroen, et al.
Published: (2024)
by: Rombouts, Jeroen, et al.
Published: (2024)
Balancing Accuracy and Costs in Cross-Temporal Hierarchies: Investigating Decision-Based and Validation-Based Reconciliation
by: Abolghasemi, Mahdi, et al.
Published: (2024)
by: Abolghasemi, Mahdi, et al.
Published: (2024)
Stationarity of Manifold Time Series
by: Zhu, Junhao, et al.
Published: (2024)
by: Zhu, Junhao, et al.
Published: (2024)
Inference for competing risks based on area between curves statistics
by: Mack, Simon, et al.
Published: (2026)
by: Mack, Simon, et al.
Published: (2026)
Time Series Forecasting with Many Predictors
by: Huang, Shuo-Chieh, et al.
Published: (2024)
by: Huang, Shuo-Chieh, et al.
Published: (2024)
Penalized Subgrouping of Heterogeneous Time Series
by: Crawford, Christopher M., et al.
Published: (2024)
by: Crawford, Christopher M., et al.
Published: (2024)
Network Estimation for Stationary Time Series
by: Shelley, Madeline A., et al.
Published: (2025)
by: Shelley, Madeline A., et al.
Published: (2025)
Wavelet Based Time Series Models with Time-Varying Thresholds
by: Davis, Rhea, et al.
Published: (2026)
by: Davis, Rhea, et al.
Published: (2026)
An Autoregressive Model for Time Series of Random Objects
by: Bulté, Matthieu, et al.
Published: (2024)
by: Bulté, Matthieu, et al.
Published: (2024)
Hybrid Smoothing for Anomaly Detection in Time Series
by: Hofkes, Matthew, et al.
Published: (2024)
by: Hofkes, Matthew, et al.
Published: (2024)
Sequential Change-point Detection for Binomial Time Series
by: Liu, Yajun, et al.
Published: (2024)
by: Liu, Yajun, et al.
Published: (2024)
Private Federated Learning for High-dimensional Time Series
by: Chen, Kejun, et al.
Published: (2026)
by: Chen, Kejun, et al.
Published: (2026)
Mean Independent Component Analysis for Multivariate Time Series
by: Lee, Chung Eun, et al.
Published: (2025)
by: Lee, Chung Eun, et al.
Published: (2025)
Simultaneous Inference for Time Series Functional Linear Regression
by: Cui, Yan, et al.
Published: (2022)
by: Cui, Yan, et al.
Published: (2022)
Autoregressive with Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series
by: Okuno, Akifumi, et al.
Published: (2023)
by: Okuno, Akifumi, et al.
Published: (2023)
Forecasting of Multiple Seasonal Categorical Time Series Using Fourier Series with Application to AQI Data of Kolkata
by: Ghosh, Anirban, et al.
Published: (2026)
by: Ghosh, Anirban, et al.
Published: (2026)
Maximum Risk Minimization with Random Forests
by: Freni, Francesco, et al.
Published: (2025)
by: Freni, Francesco, et al.
Published: (2025)
Spatial Transcriptomics Iterative Hierarchical Clustering (stIHC): A Novel Method for Identifying Spatial Gene Co-Expression Modules
by: Higgins, Catherine, et al.
Published: (2025)
by: Higgins, Catherine, et al.
Published: (2025)
Approximate Factor Models for Functional Time Series
by: Otto, Sven, et al.
Published: (2022)
by: Otto, Sven, et al.
Published: (2022)
Similar Items
-
Human Vs. Machines: Who Wins In Semiconductor Market Forecasting?
by: Steinmeister, Louis, et al.
Published: (2024) -
Confidence Intervals for Random Forest Permutation Importance with Missing Data
by: Föge, Nico, et al.
Published: (2025) -
Enhancing Forecasts Using Real-Time Data Flow and Hierarchical Forecast Reconciliation, with Applications to the Energy Sector
by: Neubauer, Lukas, et al.
Published: (2024) -
Permutation Tests Based on the Copula-Graphic Estimator and Their Use for Survival Tree Construction
by: Baur, Pauline, et al.
Published: (2025) -
A Simulation Study to Compare Inferential Properties when Modelling Ordinal Outcomes: The Case for the (Plain but Robust) Proportional Odds Model
by: Inerle, Stefan, et al.
Published: (2026)