Saved in:
| Main Author: | Wüthrich, Mario V. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.05993 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Model Monitoring: A General Framework with an Application to Non-life Insurance Pricing
by: Brauer, Alexej, et al.
Published: (2025)
by: Brauer, Alexej, et al.
Published: (2025)
Robust Functional Regression with Discretely Sampled Predictors
by: Kalogridis, Ioannis, et al.
Published: (2023)
by: Kalogridis, Ioannis, et al.
Published: (2023)
Calibration Bands for Mean Estimates within the Exponential Dispersion Family
by: Delong, Łukasz, et al.
Published: (2025)
by: Delong, Łukasz, et al.
Published: (2025)
IV regression with distribution-valued outcomes
by: Van Dijcke, David, et al.
Published: (2026)
by: Van Dijcke, David, et al.
Published: (2026)
Bias correction for quantile regression estimators
by: Franguridi, Grigory, et al.
Published: (2020)
by: Franguridi, Grigory, et al.
Published: (2020)
Encompassing Tests for Nonparametric Regressions
by: Lapenta, Elia, et al.
Published: (2022)
by: Lapenta, Elia, et al.
Published: (2022)
Modeling lower-truncated and right-censored insurance claims with an extension of the MBBEFD class
by: Gatti, Selim, et al.
Published: (2023)
by: Gatti, Selim, et al.
Published: (2023)
Functional Adaptive Huber Linear Regression
by: Peng, Ling, et al.
Published: (2024)
by: Peng, Ling, et al.
Published: (2024)
On the Optimality of Functional Sliced Inverse Regression
by: Chen, Rui, et al.
Published: (2023)
by: Chen, Rui, et al.
Published: (2023)
Geographically Weighted Regression for Air Quality Low-Cost Sensor Calibration
by: Poggi, Jean-Michel, et al.
Published: (2025)
by: Poggi, Jean-Michel, et al.
Published: (2025)
Topological Criteria for Hypothesis Testing with Finite-Precision Measurements
by: Boeken, Philip, et al.
Published: (2026)
by: Boeken, Philip, et al.
Published: (2026)
A Note on the Generalized Cape Cod Reserving Method
by: Richman, Ronald, et al.
Published: (2026)
by: Richman, Ronald, et al.
Published: (2026)
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
by: Wang, Peng, et al.
Published: (2022)
by: Wang, Peng, et al.
Published: (2022)
From Asymptotic to Finite-Sample Minimax Robust Hypothesis Testing
by: Gül, Gökhan
Published: (2026)
by: Gül, Gökhan
Published: (2026)
Domain Generalization by Functional Regression
by: Holzleitner, Markus, et al.
Published: (2023)
by: Holzleitner, Markus, et al.
Published: (2023)
On Uncertainty Calibration for Equivariant Functions
by: Berman, Edward, et al.
Published: (2025)
by: Berman, Edward, et al.
Published: (2025)
Functional Linear Regression of Cumulative Distribution Functions
by: Zhang, Qian, et al.
Published: (2022)
by: Zhang, Qian, et al.
Published: (2022)
Optimal Rates for Functional Linear Regression with General Regularization
by: Gupta, Naveen, et al.
Published: (2024)
by: Gupta, Naveen, et al.
Published: (2024)
Asymptotic Theory for Linear Functionals of Kernel Ridge Regression
by: Tuo, Rui, et al.
Published: (2024)
by: Tuo, Rui, et al.
Published: (2024)
Testing Monotonicity in a Finite Population
by: Chen, Jiafeng, et al.
Published: (2025)
by: Chen, Jiafeng, et al.
Published: (2025)
Finite-Sample Inference for Sparsely Permuted Linear Regression
by: Ota, Hirofumi, et al.
Published: (2026)
by: Ota, Hirofumi, et al.
Published: (2026)
A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference)
by: Chatterjee, Anirban, et al.
Published: (2024)
by: Chatterjee, Anirban, et al.
Published: (2024)
Return-to-Baseline Testing via Empirically Calibrated e-processes
by: Regis, Marta, et al.
Published: (2026)
by: Regis, Marta, et al.
Published: (2026)
Hypothesis Testing for Penalized Estimating Equations with Cross-Fitted Covariance Calibration
by: Zhou, Jing, et al.
Published: (2026)
by: Zhou, Jing, et al.
Published: (2026)
Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
by: Cao, Cheng, et al.
Published: (2023)
by: Cao, Cheng, et al.
Published: (2023)
Finite Sample Confidence Regions for Linear Regression Parameters Using Arbitrary Predictors
by: Guille-Escuret, Charles, et al.
Published: (2024)
by: Guille-Escuret, Charles, et al.
Published: (2024)
Detecting Parameter Instabilities in Functional Concurrent Linear Regression
by: Basu, Rupsa, et al.
Published: (2026)
by: Basu, Rupsa, et al.
Published: (2026)
Dyson Equation for Correlated Linearizations and Test Error of Random Features Regression
by: Latourelle-Vigeant, Hugo, et al.
Published: (2023)
by: Latourelle-Vigeant, Hugo, et al.
Published: (2023)
Power Bounds and Efficiency Loss for Asymptotically Optimal Tests in IV Regression
by: Moreira, Marcelo J., et al.
Published: (2026)
by: Moreira, Marcelo J., et al.
Published: (2026)
Simultaneous Frequentist Calibration of Confidence Regions for Multiple Functionals in Constrained Inverse Problems
by: Batlle, Pau, et al.
Published: (2025)
by: Batlle, Pau, et al.
Published: (2025)
When Stein-Type Test Detects Equilibrium Distributions of Finite N-Body Systems
by: Shim, Jae Wan
Published: (2026)
by: Shim, Jae Wan
Published: (2026)
Statistically Significant Linear Regression Coefficients Solely Driven By Outliers In Finite-sample Inference
by: Reichel, Felix
Published: (2025)
by: Reichel, Felix
Published: (2025)
Estimation and Inference for Change Points in Functional Regression Time Series
by: Kumar, Shivam, et al.
Published: (2024)
by: Kumar, Shivam, et al.
Published: (2024)
Bayesian Models for Joint Selection of Features and Auto-Regressive Lags: Theory and Applications in Environmental and Financial Forecasting
by: Manna, Alokesh, et al.
Published: (2025)
by: Manna, Alokesh, et al.
Published: (2025)
Finite-length Analysis on Tail probability for Markov Chain and Application to Simple Hypothesis Testing
by: Watanabe, Shun, et al.
Published: (2014)
by: Watanabe, Shun, et al.
Published: (2014)
Finite-Sample Identification of Linear Regression Models with Residual-Permuted Sums
by: Szentpéteri, Szabolcs, et al.
Published: (2024)
by: Szentpéteri, Szabolcs, et al.
Published: (2024)
Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression
by: Szentpéteri, Szabolcs, et al.
Published: (2024)
by: Szentpéteri, Szabolcs, et al.
Published: (2024)
Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions
by: Bettache, Nayel
Published: (2024)
by: Bettache, Nayel
Published: (2024)
An observation‐driven state‐space model for claims size modelling
by: Jae Youn Ahn, et al.
Published: (2025)
by: Jae Youn Ahn, et al.
Published: (2025)
Model-free Bootstrap and Conformal Prediction in Regression: Conditionality, Conjecture Testing, and Pertinent Prediction Intervals
by: Wang, Yiren, et al.
Published: (2021)
by: Wang, Yiren, et al.
Published: (2021)
Similar Items
-
Model Monitoring: A General Framework with an Application to Non-life Insurance Pricing
by: Brauer, Alexej, et al.
Published: (2025) -
Robust Functional Regression with Discretely Sampled Predictors
by: Kalogridis, Ioannis, et al.
Published: (2023) -
Calibration Bands for Mean Estimates within the Exponential Dispersion Family
by: Delong, Łukasz, et al.
Published: (2025) -
IV regression with distribution-valued outcomes
by: Van Dijcke, David, et al.
Published: (2026) -
Bias correction for quantile regression estimators
by: Franguridi, Grigory, et al.
Published: (2020)