The Variance-Gamma Product Distribution. [PDF]
Gaunt RE, Li S, Sutcliffe HL.
europepmc +1 more source
Asymptotic and approximative distribution of a statistic by resampling with or without replacement
M. Donegani
openalex +2 more sources
Rank‐based estimation of propensity score weights via subclassification
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang +3 more
wiley +1 more source
Free Vibration Analysis of Thin Functionally Graded Plate Bands with Microstructure as a Function of Material Inhomogeneity Distribution and Boundary Conditions. [PDF]
Jędrysiak J, Kaźmierczak-Sobińska M.
europepmc +1 more source
Asymptotics of fixed point distributions for inexact Monte Carlo algorithms [PDF]
M. A. Clark, A.D. Kennedy
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Subuniformity of harmonic mean p$$ p $$‐values
Abstract We obtain several inequalities on the generalized means of dependent p$$ p $$‐values. In particular, the weighted harmonic mean of p$$ p $$‐values is strictly subuniform under several dependence assumptions of p$$ p $$‐values, including independence, negative upper orthant dependence, the class of extremal mixture copulas, and some Clayton ...
Yuyu Chen +3 more
wiley +1 more source
Power and Sample Size Calculation for Multivariate Longitudinal Trials Using the Longitudinal Rank Sum Test. [PDF]
Ghosh D +3 more
europepmc +1 more source
Predicting cervical cancer DNA methylation from genetic data using multivariate CMMP
Abstract Epigenetic modifications link the environment to gene expression and play a crucial role in tumour development. DNA methylation, in particular, is gaining attention in cancer research, including cervical cancer, the focus of this study.
Hang Zhang +5 more
wiley +1 more source
Enumeration of rooted binary perfect phylogenies. [PDF]
Shiff CE, Rosenberg NA.
europepmc +1 more source
An observation‐driven state‐space model for claims size modelling
Abstract State‐space models are popular in econometrics. Recently, these models have gained some popularity in the actuarial literature. The best known state‐space models are of the Kalman‐filter type. These are called parameter‐driven because the observations do not impact the state‐space dynamics.
Jae Youn Ahn +2 more
wiley +1 more source

