Saved in:
| Main Authors: | Vanegas, Sebastian Calcetero, Badescu, Andrei L., Lin, X. Sheldon |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.15598 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Effective experience rating for large insurance portfolios via surrogate modeling
by: Calcetero-Vanegas, Sebastian, et al.
Published: (2022)
by: Calcetero-Vanegas, Sebastian, et al.
Published: (2022)
Claim Reserving via Inverse Probability Weighting: A Micro-Level Chain-Ladder Method
by: Calcetero-Vanegas, Sebastian, et al.
Published: (2023)
by: Calcetero-Vanegas, Sebastian, et al.
Published: (2023)
Marked Cox Models for IBNR Claims Count: Continuous and Discretized Approaches with Dirichlet-Driven Reporting Delays
by: Abdelrahman, Hassan, et al.
Published: (2024)
by: Abdelrahman, Hassan, et al.
Published: (2024)
A Portfolio-Anchored Frequency-Severity Risk Index for Trip and Driver Assessment Using Telematics Signals
by: Lee, Jongtaek, et al.
Published: (2026)
by: Lee, Jongtaek, et al.
Published: (2026)
Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
Assessing Driving Risk Through Unsupervised Detection of Anomalies in Telematics Time Series Data
by: Chan, Ian Weng, et al.
Published: (2024)
by: Chan, Ian Weng, et al.
Published: (2024)
Dispersion Modeling in Zero-inflated Tweedie Models with Applications to Insurance Claim Data Analysis
by: Gu, Yuwen
Published: (2024)
by: Gu, Yuwen
Published: (2024)
Left-Truncated Health Insurance Claims Data: Theoretical Review and Empirical Application
by: Weißbachm, Rafael, et al.
Published: (2021)
by: Weißbachm, Rafael, et al.
Published: (2021)
A Robust Framework for Two-Sample Mendelian Randomization under Population Heterogeneity
by: Tang, Dingke, et al.
Published: (2026)
by: Tang, Dingke, et al.
Published: (2026)
Data Mining of Telematics Data: Unveiling the Hidden Patterns in Driving Behaviour
by: Chan, Ian Weng, et al.
Published: (2023)
by: Chan, Ian Weng, et al.
Published: (2023)
Bayesian estimation of a multivariate TAR model when the noise process distribution belongs to the class of Gaussian variance mixtures
by: Vanegas, L. H., et al.
Published: (2025)
by: Vanegas, L. H., et al.
Published: (2025)
The FORSS Framework for Sample Size and Power Calculations With Win Statistics for Hierarchical Endpoints
by: Zhang, Baoshan, et al.
Published: (2026)
by: Zhang, Baoshan, et al.
Published: (2026)
The Negative Binomial Chain-Ladder: A Full Likelihood Model for Claim Count Reserving
by: Van Oirbeek, Robin
Published: (2026)
by: Van Oirbeek, Robin
Published: (2026)
A Model-Agnostic Bootstrap for Macro-Level Claims Reserving Under the Conditioning Principle
by: Van Oirbeek, Robin, et al.
Published: (2026)
by: Van Oirbeek, Robin, et al.
Published: (2026)
Graphical Finite Population Sampling
by: Panahbehagh, Bardia
Published: (2023)
by: Panahbehagh, Bardia
Published: (2023)
Finite Population Survey Sampling: An Unapologetic Bayesian Perspective
by: Banerjee, Sudipto
Published: (2023)
by: Banerjee, Sudipto
Published: (2023)
Statistics of Extremes for the Insurance Industry
by: Albrecher, Hansjoerg, et al.
Published: (2025)
by: Albrecher, Hansjoerg, et al.
Published: (2025)
A Generalized Framework for Approximate Co-Sufficient Sampling
by: Xie, Jie, et al.
Published: (2025)
by: Xie, Jie, et al.
Published: (2025)
An Estimand-Focused Approach for AUC Estimation, Generalization, and Comparison: From Non-representative Samples to Target Population
by: Liu, Jiajun, et al.
Published: (2025)
by: Liu, Jiajun, et al.
Published: (2025)
Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors
by: Ge, Lin, et al.
Published: (2023)
by: Ge, Lin, et al.
Published: (2023)
Scalable Sample-to-Population Estimation of Hyperbolic Space Models for Hypergraphs
by: Fritz, Cornelius, et al.
Published: (2025)
by: Fritz, Cornelius, et al.
Published: (2025)
Untangling Sample and Population Level Estimands in Bayesian Causal Computation
by: Oganisian, Arman
Published: (2025)
by: Oganisian, Arman
Published: (2025)
A Unified Framework for the Transportability of Population-Level Causal Measures
by: Boughdiri, Ahmed, et al.
Published: (2025)
by: Boughdiri, Ahmed, et al.
Published: (2025)
State-Space Representation of INGARCH Models and Their Application in Insurance
by: Ahn, Jae Youn, et al.
Published: (2025)
by: Ahn, Jae Youn, et al.
Published: (2025)
A Null Model for Mapper Subtype Claims
by: Topaz, Chad M.
Published: (2026)
by: Topaz, Chad M.
Published: (2026)
Robust Estimation of Loss Models for Lognormal Insurance Payment Severity Data
by: Poudyal, Chudamani
Published: (2021)
by: Poudyal, Chudamani
Published: (2021)
Rapid Scaling of Compositional Uncertainty from Sample to Population Levels
by: Wang, Yiran, et al.
Published: (2025)
by: Wang, Yiran, et al.
Published: (2025)
Alpha Estimation via Sample Splitting: A Two-Sample Framework for Stable-like Distributions
by: Potgieter, Cornelis J., et al.
Published: (2017)
by: Potgieter, Cornelis J., et al.
Published: (2017)
An Observation-Driven State-Space Model for Claims Size Modeling
by: Ahn, Jae Youn, et al.
Published: (2024)
by: Ahn, Jae Youn, et al.
Published: (2024)
Leveraging Neural Networks to Profile Health Care Providers with Application to Medicare Claims
by: Wu, Wenbo, et al.
Published: (2023)
by: Wu, Wenbo, et al.
Published: (2023)
L-Estimation of Population Quantiles Using Ranked Set Sampling
by: Jozani, Mohammad Jafari, et al.
Published: (2026)
by: Jozani, Mohammad Jafari, et al.
Published: (2026)
SHAP-Based Supervised Clustering for Sample Classification and the Generalized Waterfall Plot
by: Lin, Justin, et al.
Published: (2025)
by: Lin, Justin, et al.
Published: (2025)
An Efficient Framework for Robust Sample Size Determination
by: Hagar, Luke, et al.
Published: (2025)
by: Hagar, Luke, et al.
Published: (2025)
Coordinated Trading Strategies for Battery Storage in Reserve and Spot Markets
by: Seifert, Paul E., et al.
Published: (2024)
by: Seifert, Paul E., et al.
Published: (2024)
Semiparametric rank-based regression models as robust alternatives to parametric mean-based counterparts for censored responses under detection-limit
by: Xu, Y., et al.
Published: (2025)
by: Xu, Y., et al.
Published: (2025)
Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data
by: Manna, Alokesh, et al.
Published: (2024)
by: Manna, Alokesh, et al.
Published: (2024)
A Framework to Analyze Multiscale Sampling MCMC Methods
by: Seiffert, Lucas, et al.
Published: (2025)
by: Seiffert, Lucas, et al.
Published: (2025)
A Framework for Covariate-Adjusted Bivariate Causal Discovery
by: Purkayastha, Soumik, et al.
Published: (2025)
by: Purkayastha, Soumik, et al.
Published: (2025)
Neural Wasserstein Two-Sample Tests
by: Hu, Xiaoyu, et al.
Published: (2026)
by: Hu, Xiaoyu, et al.
Published: (2026)
Finite Population Sampling as n to N: Empirical Evidence for the Transition from Inference to Accuracy
by: Crowhurst, Mike
Published: (2026)
by: Crowhurst, Mike
Published: (2026)
Similar Items
-
Effective experience rating for large insurance portfolios via surrogate modeling
by: Calcetero-Vanegas, Sebastian, et al.
Published: (2022) -
Claim Reserving via Inverse Probability Weighting: A Micro-Level Chain-Ladder Method
by: Calcetero-Vanegas, Sebastian, et al.
Published: (2023) -
Marked Cox Models for IBNR Claims Count: Continuous and Discretized Approaches with Dirichlet-Driven Reporting Delays
by: Abdelrahman, Hassan, et al.
Published: (2024) -
A Portfolio-Anchored Frequency-Severity Risk Index for Trip and Driver Assessment Using Telematics Signals
by: Lee, Jongtaek, et al.
Published: (2026) -
Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)