A multivariate correlated poisson generalized inverse gaussian regression model for dependent count data: Estimation and testing procedures. [PDF]
Hanike Y, Purhadi, Choiruddin A.
europepmc +1 more source
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
Modeling growth performance of heterogeneous rabbits in a pastured system using nonlinear, spline and random regression models. [PDF]
Bashiru HA, Oseni SO.
europepmc +1 more source
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
An Asymptotic Analysis of Bivalent Monoclonal Antibody-Antigen Binding. [PDF]
Heirene LA +3 more
europepmc +1 more source
Vortex rings: existence and asymptotic estimates
A. Friedman, B. Turkington
semanticscholar +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
Expected Mitochondrial Haplotype Richness in Remaining Populations of the Critically Endangered European Mink <i>Mustela lutreola</i> and Its Conservation Implications. [PDF]
Skorupski J +7 more
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
Stability of Partially Congested Travelling Wave Solutions for the Dissipative Aw-Rascle System. [PDF]
Deléage É, Mehmood MA.
europepmc +1 more source

