Abstract: Fitting overdispersed count data accurately and efficiently is instrumental for statistical modeling. Failing to capture the overdispersed nature of data ...
Introduction: In occupational epidemiology, accurately quantifying exposure-response relationships is crucial. Methods: We introduce a threshold Cox model that includes a change point term to identify ...
In this valuable contribution, the authors present a novel and versatile probabilistic tool for classifying tracking behaviors and understanding parameters for different types of single-particle ...
Single-cell transcriptome sequencing results of rats intervened with specific mode electroacupuncture (an emerging method for opening the blood-brain barrier).
ABSTRACT: This work presents the analyses of earthquake magnitude scales and seismicity parameters across the Nubian-Eurasian Plate Boundary Region. We developed magnitude conversion models using ...
Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...
Is your feature request related to a problem? Please describe. Yes, my feature request is related to a problem raised during a project (link) of mine. The project involved utilising dynamic Bayesian ...
(Beyond Pesticides, January 14, 2025) Women with occupational pesticide exposure have elevated rates of breast cancer, according to a study in Immunopharmacology and Immunotoxicology. Based on an ...
Let (Yt)t≥1 be a sequence of i.i.d. observations and {fθ, θ ∈ ℝd} be a parametric model. We introduce a new online algorithm for computing a sequence (θ̂t)t≥1, which is shown to converge almost surely ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback