Results 41 to 50 of about 45,763 (274)

Scaling limits for infinite-server systems in a random environment

open access: yesStochastic Systems, 2017
This paper studies the effect of an overdispersed arrival process on the performance of an infinite-server system. In our setup, a random environment is modeled by drawing an arrival rate Λ from a given distribution every Δ time units, yielding an i.i.d.
Mariska Heemskerk   +2 more
doaj   +1 more source

Drivers of Postharvest Loss among Citrus Farmers in Eastern Cape Province of South Africa: A Zero-Inflated Poisson (ZIP) Regression Model Analysis

open access: yesAgriculture, 2022
Reducing postharvest losses (PHLs) in the South African citrus industry is fundamental in ensuring food, income, and nutrition security. However, there is limited knowledge on the extent of postharvest losses, their diversity, and the associated ...
Siphiw’okuhle Nohamba   +3 more
doaj   +1 more source

Variable Selection and Model Averaging in Semiparametric Overdispersed Generalized Linear Models

open access: yes, 2007
We express the mean and variance terms in a double exponential regression model as additive functions of the predictors and use Bayesian variable selection to determine which predictors enter the model, and whether they enter linearly or flexibly.
Berger J. O.   +9 more
core   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao   +11 more
wiley   +1 more source

A New First-Order Integer-Valued Autoregressive Model with Bell Innovations

open access: yesEntropy, 2021
A Poisson distribution is commonly used as the innovation distribution for integer-valued autoregressive models, but its mean is equal to its variance, which limits flexibility, so a flexible, one-parameter, infinitely divisible Bell distribution may be ...
Jie Huang, Fukang Zhu
doaj   +1 more source

Linking Plant Metabolomics with Fungal Functional Dynamics Reveals a Noncanonical S‐R‐C Adaptive Trajectory

open access: yesAdvanced Science, EarlyView.
Using field‐based holo‐omics, we demonstrate that developmental shifts in sorghum leaf metabolomes drive a noncanonical fungal succession from stress tolerators (S) through ruderals (R) to competitors (C). Antifungal metabolites in young leaves select for S strategists with expanded genomes, transient maltose pulses during flowering favor fast‐growing ...
Peilin Chen, John W. Taylor, Cheng Gao
wiley   +1 more source

CONWAY-MAXWELL POISSON REGRESSION MODELING OF INFANT MORTALITY IN SOUTH SULAWESI

open access: yesMedia Statistika
Overdispersion is a common problem in count data that can lead to inaccurate parameter estimates in Poisson regression models. Quasi-Poisson and negative binomial regressions are often used to address overdispersion but have limitations, especially with ...
Oktaviana Oktaviana   +4 more
doaj   +1 more source

Skeletal pathologies in extant crocodilians as a window into the paleopathology of fossil archosaurs

open access: yesThe Anatomical Record, EarlyView.
Abstract Crocodilians, together with birds, are the only extant relatives to many extinct archosaur groups, making them highly important for interpreting paleopathological conditions in a phylogenetic disease bracketing model. Despite this, comprehensive data on osteopathologies in crocodilians remain scarce.
Alexis Cornille   +6 more
wiley   +1 more source

Quantifying overdispersion effects in count regression data [PDF]

open access: yes, 2002
The Poisson regression model is often used as a first model for count data with covariates. Since this model is a GLM with canonical link, regression parameters can be easily fitted using standard software.
Czado, Claudia, Sikora, I.
core   +1 more source

Immunologic Profiling Suggests an Association Between Treg Cell Dysfunction and Pain in Knee Osteoarthritis

open access: yesArthritis &Rheumatology, EarlyView.
Objective Pain is the hallmark symptom of osteoarthritis (OA), and its biologic drivers remain poorly understood. Although the role of innate immunity in OA has been extensively studied, the involvement of adaptive immunity, in particular Treg cells, is not well understood.
Marie Binvignat   +26 more
wiley   +1 more source

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