Introduces quantile-based effectiveness persistence function as tail mean divided by quantile, shows equivalence to first L-moment of scaled tail, and develops nonparametric estimator with bootstrap equivalence test for biosimilar evaluation.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
method 1
citation-polarity summary
fields
stat.ME 3years
2026 3verdicts
UNVERDICTED 3roles
method 1polarities
use method 1representative citing papers
A Dirichlet-Gamma bootstrap for macro-level claims reserving satisfies the conditioning principle exactly, delivering O(I^{-1/2}) coverage error and inheriting calibration from any development-proportion method.
A negative binomial chain-ladder model is obtained from a Poisson-Gamma mixture that supplies a generative interpretation for the dispersion parameter and unifies the chain-ladder family under one likelihood.
citing papers explorer
-
Quantile-Based Effectiveness Persistence Function: A Tail-Focused Metric with Theory, Estimation, and Application to Biosimilar Evaluation
Introduces quantile-based effectiveness persistence function as tail mean divided by quantile, shows equivalence to first L-moment of scaled tail, and develops nonparametric estimator with bootstrap equivalence test for biosimilar evaluation.
-
A Model-Agnostic Bootstrap for Macro-Level Claims Reserving Under the Conditioning Principle
A Dirichlet-Gamma bootstrap for macro-level claims reserving satisfies the conditioning principle exactly, delivering O(I^{-1/2}) coverage error and inheriting calibration from any development-proportion method.
-
The Negative Binomial Chain-Ladder: A Full Likelihood Model for Claim Count Reserving
A negative binomial chain-ladder model is obtained from a Poisson-Gamma mixture that supplies a generative interpretation for the dispersion parameter and unifies the chain-ladder family under one likelihood.