Results 111 to 120 of about 3,733,122 (330)
Material‐Induced Nuclear Deformation Controls Chromatin Architecture in Adipose Stem Cells
Tuning cell and cytoskeleton mechanics modulated nuclear shape and heterochromatin organization in ASCs. Distinct cytoskeletal architectures induced nuclear morphologies from oblate to prolate ellipsoids. Large elongated cells with a structured actin cap exhibited high nuclear strain, driving nuclear envelope deformation and heterochromatin ...
Carlo F. Natale +6 more
wiley +1 more source
BAYESIAN MULTIVARIATE POISSON REGRESSION
The paper proposes a regression model for the multivariate Poisson distribution. So far inference in multivariate Poisson distributions has been prevented by the fact that computation of the probability mass function is difficult. Bayesian methods of inference are proposed which are organized around computational methods based on Gibbs sampling with ...
openaire +2 more sources
On the inconsistency of the MLE in certain heteroskedastic regression models [PDF]
This paper studies the possibility of inconsistency of the maximum likelihood estimators for certain heteroskedastic regression models. These include the Poisson regression model and the ARCH models.
Adrián R. Pagan, Hernán Sabau
core
On the feasibility of semi-algebraic sets in Poisson regression
Designing experiments for generalized linear models is difficult because optimal designs depend on unknown parameters. The local optimality approach is to study the regions in parameter space where a given design is optimal.
Kahle, Thomas
core +1 more source
A semi-nonparametric Poisson regression model for analyzing motor vehicle crash data
This paper develops a semi-nonparametric Poisson regression model to analyze motor vehicle crash frequency data collected from rural multilane highway segments in California, US.
X. Ye, Ke Wang, Y. Zou, D. Lord
semanticscholar +1 more source
IGF‐1 deficiency underlies poor ovarian response (POR), as reduced levels in follicular fluid and granulosa cells impair antral follicle formation and compromise reproductive outcomes. Including IGF‐1 as a biomarker significantly enhances the accuracy of models predicting both PORrisk and pregnancy success.
Zhu Hu +9 more
wiley +1 more source
Identification of Fertility Preference Determinants Using Poisson Regression
Background and Objectives: Changes in ideals and aspirations of childbearing are important factors in fertility behavior. Nowadays, fertility rate reduction below the replacement level and decreased childbearing ideals are the most common fertility ...
A Bagheri +2 more
doaj
Compound Poisson Processes, Latent Shrinkage Priors and Bayesian Nonconvex Penalization
In this paper we discuss Bayesian nonconvex penalization for sparse learning problems. We explore a nonparametric formulation for latent shrinkage parameters using subordinators which are one-dimensional L\'{e}vy processes. We particularly study a family
Li, Jin, Zhang, Zhihua
core +1 more source
A real‐world model of structured animal product restriction practiced for religious reasons reveals the dynamic adaptability of the human gut microbiome to dietary change and uncovers reductions in diversity and rare taxa loss. Integrated microbiome, metabolomic, and proteomic analyses uncover coordinated taxonomic and molecular shifts and identify ...
Christina Emmanouil +7 more
wiley +1 more source
Application of negative binomial regression in analyzing factors that influence stunting in toddlers
Stunting is a growth and development disorder caused by a lack of nutrition. This research aims to determine the significant factors that influence cases of stunting among toddlers in North Sumatra province in 2022. By using Negative Binomial Regression,
Allifiyani Tamimi, Ismail Husein
doaj +1 more source

