Results 41 to 50 of about 370,919 (284)
Nonparametric Bayesian Negative Binomial Factor Analysis
, 2017 A common approach to analyze a covariate-sample count matrix, an element of which represents how many times a covariate appears in a sample, is to factorize it under the Poisson likelihood. We show its limitation in capturing the tendency for a covariate
Zhou, Mingyuan
core +1 more source
Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt +5 more
wiley +1 more source
On the Accuracy of the Generalized Gamma Approximation to Generalized Negative Binomial Random Sums
Mathematics, 2021 We investigate the proximity in terms of zeta-structured metrics of generalized negative binomial random sums to generalized gamma distribution with the corresponding parameters, extending thus the zeta-structured estimates of the rate of convergence in ...
Irina Shevtsova, Mikhail Tselishchev
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Transform methods for testing the negative binomial hypothesis
Statistica, 2007 We employ the empirical probability generating function in constructing a goodness-of-fit test for negative binomial distributions. The proposed tests, which are formed as weighted integrals, are shown to be consistent and their asymptotic null ...
Simos G. Meintanis
doaj +1 more source
An Overview of Modern Applications of Negative Binomial Modelling in Ecology and Biodiversity
Diversity, 2022 Negative binomial modelling is one of the most commonly used statistical tools for analysing count data in ecology and biodiversity research. This is not surprising given the prevalence of overdispersion (i.e., evidence that the variance is greater than ...
Jakub Stoklosa +2 more
doaj +1 more source
Analysis of generalized negative binomial distributions attached to hyperbolic Landau levels
, 2016 To each hyperbolic Landau level of the Poincar\'e disc is attached a generalized negative binomial distribution. In this paper, we compute the moment generating function of this distribution and supply its decomposition as a perturbation of the negative ...
Gnedenko B. V. +7 more
core +3 more sources
Arthritis Care &Research, EarlyView.Objective A leading cause of death among patients with scleroderma (SSc), interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M. Padilla +13 more
wiley +1 more source
ZERO INFLATED NEGATIVE BINOMIAL MODELS IN SMALL AREA ESTIMATION [PDF]
, 2008 The problem of over-dispersion in Poisson data is usually solved by introducing prior distributions which lead to negative binomial models. Poisson data sometime is also suffered by excess zero problems, a condition when data contains too many zero or ...
Indahwati, Indahwati +2 more
core
The combinatorial structure of beta negative binomial processes
, 2016 We characterize the combinatorial structure of conditionally-i.i.d. sequences of negative binomial processes with a common beta process base measure. In Bayesian nonparametric applications, such processes have served as models for latent multisets of ...
Heaukulani, Creighton, Roy, Daniel M.
core +1 more source