An Observation-Driven State-Space Model for Claims Size Modeling
Fuente:
arXiv
Guardado en:
| Autores principales: | Ahn, Jae Youn, Jeong, Himchan, Wüthrich, Mario V. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
State-Space Representation of INGARCH Models and Their Application in Insurance
por: Ahn, Jae Youn, et al.
Publicado: (2025)
por: Ahn, Jae Youn, et al.
Publicado: (2025)
Modeling Insurance Claims using Bayesian Nonparametric Regression
por: Abadi, Mostafa Shams Esfand, et al.
Publicado: (2023)
por: Abadi, Mostafa Shams Esfand, et al.
Publicado: (2023)
An observation‐driven state‐space model for claims size modelling
por: Jae Youn Ahn, et al.
Publicado: (2025)
por: Jae Youn Ahn, et al.
Publicado: (2025)
State-Space Modeling of Shape-constrained Functional Time Series
por: Hiraki, Daichi, et al.
Publicado: (2024)
por: Hiraki, Daichi, et al.
Publicado: (2024)
Markov-switching State Space Models for Uncovering Musical Interpretation
por: McDonald, Daniel J., et al.
Publicado: (2019)
por: McDonald, Daniel J., et al.
Publicado: (2019)
A Null Model for Mapper Subtype Claims
por: Topaz, Chad M.
Publicado: (2026)
por: Topaz, Chad M.
Publicado: (2026)
A Network-Guided Penalized Regression with Application to Proteomics Data
por: Ahn, Seungjun, et al.
Publicado: (2025)
por: Ahn, Seungjun, et al.
Publicado: (2025)
One-Shot Individual Claims Reserving
por: Richman, Ronald, et al.
Publicado: (2026)
por: Richman, Ronald, et al.
Publicado: (2026)
Application of Propensity Score Models and Causal Estimators in Observational Studies under Model Misspecification
por: Das, Apu Chandra, et al.
Publicado: (2026)
por: Das, Apu Chandra, et al.
Publicado: (2026)
Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
por: Xu, Tianchen, et al.
Publicado: (2023)
por: Xu, Tianchen, et al.
Publicado: (2023)
Robust Power and Sample Size Calculations in Quasi-likelihood Models: Methods and Practice
por: Yuan, Shijie, et al.
Publicado: (2026)
por: Yuan, Shijie, et al.
Publicado: (2026)
Modeling climate extremes using the four-parameter kappa distribution for $r$-largest order statistics
por: Shin, Yire, et al.
Publicado: (2020)
por: Shin, Yire, et al.
Publicado: (2020)
Population Size Estimation with Many Lists and Heterogeneity: A Conditional Log-Linear Model Among the Unobserved
por: Rubio, Mateo Dulce, et al.
Publicado: (2024)
por: Rubio, Mateo Dulce, et al.
Publicado: (2024)
Modeling Extreme Events: Univariate and Multivariate Data-Driven Approaches
por: Buriticá, Gloria, et al.
Publicado: (2024)
por: Buriticá, Gloria, et al.
Publicado: (2024)
Partially Directed Configuration Model with Homophily and Respondent-Driven Sampling
por: Sepulveda-Peñaloza, Alejandro, et al.
Publicado: (2025)
por: Sepulveda-Peñaloza, Alejandro, et al.
Publicado: (2025)
Understanding Spatial Regression Models from a Weighting Perspective in an Observational Study of Superfund Remediation
por: Woodward, Sophie M., et al.
Publicado: (2025)
por: Woodward, Sophie M., et al.
Publicado: (2025)
Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
por: Yang, Cheng-Han, et al.
Publicado: (2026)
por: Yang, Cheng-Han, et al.
Publicado: (2026)
Sample Size Calculations for the Development of Risk Prediction Models that Account for Performance Variability
por: Pavlou, Menelaos, et al.
Publicado: (2025)
por: Pavlou, Menelaos, et al.
Publicado: (2025)
From Chain-Ladder to Individual Claims Reserving
por: Richman, Ronald, et al.
Publicado: (2026)
por: Richman, Ronald, et al.
Publicado: (2026)
A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data
por: Guo, Xingche, et al.
Publicado: (2023)
por: Guo, Xingche, et al.
Publicado: (2023)
A Dynamic Latent Space Model for Healthcare Mobility Networks: the Italian National Health Service case
por: Manente, Cecilia, et al.
Publicado: (2026)
por: Manente, Cecilia, et al.
Publicado: (2026)
Assessing Climate-Driven Mortality Risk: A Stochastic Approach with Distributed Lag Non-Linear Models
por: Min, Jiacheng, et al.
Publicado: (2025)
por: Min, Jiacheng, et al.
Publicado: (2025)
Sample Size Selection under an Infill Asymptotic Domain
por: Natoli, Cory W., et al.
Publicado: (2024)
por: Natoli, Cory W., et al.
Publicado: (2024)
A Zero-Inflated Beta Mixture Model for Marginal Mediation Analysis with Compositional Microbiome Mediators
por: Ahn, Seungjun, et al.
Publicado: (2026)
por: Ahn, Seungjun, et al.
Publicado: (2026)
Bayesian Power and Sample Size Calculations for Bayes Factors in the Binomial Setting
por: Kelter, Riko, et al.
Publicado: (2025)
por: Kelter, Riko, et al.
Publicado: (2025)
Generalized logistic model for $r$ largest order statistics, with hydrological application
por: Shin, Yire, et al.
Publicado: (2024)
por: Shin, Yire, et al.
Publicado: (2024)
Optimal and Efficient Sample Size Re-estimation: A Dynamic Cost Framework
por: Jin, Rui, et al.
Publicado: (2025)
por: Jin, Rui, et al.
Publicado: (2025)
Sample Size Calculations for Developing Clinical Prediction Models: Overview and pmsims R package
por: Shamsutdinova, Diana, et al.
Publicado: (2026)
por: Shamsutdinova, Diana, et al.
Publicado: (2026)
Bayesian Functional Analysis for Untargeted Metabolomics Data with Matching Uncertainty and Small Sample Sizes
por: Ma, Guoxuan, et al.
Publicado: (2023)
por: Ma, Guoxuan, et al.
Publicado: (2023)
Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies
por: Wu, Dongxiao, et al.
Publicado: (2023)
por: Wu, Dongxiao, et al.
Publicado: (2023)
Data-Efficient Generative Modeling of Non-Gaussian Global Climate Fields via Scalable Composite Transformations
por: Brachem, Johannes, et al.
Publicado: (2026)
por: Brachem, Johannes, et al.
Publicado: (2026)
Designing Efficient Hybrid and Single-Arm Trials: External Control Borrowing and Sample Size Calculation
por: Gao, Yujing, et al.
Publicado: (2025)
por: Gao, Yujing, et al.
Publicado: (2025)
Unified and Simple Sample Size Calculations for Individual or Cluster Randomized Trials with Skewed or Ordinal Outcomes
por: Tu, Shengxin, et al.
Publicado: (2025)
por: Tu, Shengxin, et al.
Publicado: (2025)
Propensity Score Matching: Should We Use It in Designing Observational Studies?
por: Wan, Fei
Publicado: (2024)
por: Wan, Fei
Publicado: (2024)
Assessing Vaccine Effectiveness in Observational Studies via Nested Trial Emulation
por: DeMonte, Justin B., et al.
Publicado: (2024)
por: DeMonte, Justin B., et al.
Publicado: (2024)
Bayesian Network Propensity Score to Evaluate Treatment Effects in Observational Studies
por: Di Serio, Clelia, et al.
Publicado: (2025)
por: Di Serio, Clelia, et al.
Publicado: (2025)
Model Selection for Causal Modeling in Missing Exposure Problems
por: Shi, Yuliang, et al.
Publicado: (2024)
por: Shi, Yuliang, et al.
Publicado: (2024)
Visualisation for Exploratory Modelling Analysis of Bayesian Hierarchical Models
por: Akinfenwa, Oluwayomi, et al.
Publicado: (2024)
por: Akinfenwa, Oluwayomi, et al.
Publicado: (2024)
Spatiotemporal Modeling and Forecasting at Scale with Dynamic Generalized Linear Models
por: Pherwani, Pranay, et al.
Publicado: (2024)
por: Pherwani, Pranay, et al.
Publicado: (2024)
A Bayesian Method for Adverse Effects Estimation in Observational Studies with Truncation by Death
por: Sisti, Anthony, et al.
Publicado: (2024)
por: Sisti, Anthony, et al.
Publicado: (2024)
Ejemplares similares
-
State-Space Representation of INGARCH Models and Their Application in Insurance
por: Ahn, Jae Youn, et al.
Publicado: (2025) -
Modeling Insurance Claims using Bayesian Nonparametric Regression
por: Abadi, Mostafa Shams Esfand, et al.
Publicado: (2023) -
An observation‐driven state‐space model for claims size modelling
por: Jae Youn Ahn, et al.
Publicado: (2025) -
State-Space Modeling of Shape-constrained Functional Time Series
por: Hiraki, Daichi, et al.
Publicado: (2024) -
Markov-switching State Space Models for Uncovering Musical Interpretation
por: McDonald, Daniel J., et al.
Publicado: (2019)