Results 61 to 70 of about 527,420 (298)
Objective The ALS Functional Rating Scale–Revised decline rate compresses trajectory shape into a single number, potentially missing distinct phenotypes. We tested whether shape identifies phenotypes that rate does not distinguish, and whether post‐hoc analysis recovers a hidden ultrarapid subgroup. Methods From the Piemonte and Valle d'Aosta register (
Andrea Calvo +20 more
wiley +1 more source
Nonparametric Bayesian dictionary learning algorithm based on structural similarity
Though nonparametric Bayesian methods possesses significant superiority with respect to traditional comprehensive dictionary learning methods,there is room for improvement of this method as it needs more consideration over the structural similarity and ...
Daoguang DONG +4 more
doaj +2 more sources
A Fleming-Viot Process and Bayesian Nonparametrics [PDF]
Published at http://dx.doi.org/10.1214/105051606000000600 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Walker, Stephen G. +2 more
openaire +3 more sources
Bayesian Geoadditive Seemingly Unrelated Regression [PDF]
Parametric seemingly unrelated regression (SUR) models are a common tool for multivariate regression analysis when error variables are reasonably correlated, so that separate univariate analysis may result in inefficient estimates of covariate effects. A
Steiner, Winfried J. +3 more
core +1 more source
Supplementation with mannan oligosaccharides (MOS) enhances growth, disease resistance, antioxidant capacity, and gut microbiota diversity while suppressing inflammation, apoptosis, and strengthening intestinal barrier integrity in zebrafish challenged with LPS or DSS.
Zhiyuan Lu +4 more
wiley +1 more source
Untangling sample and population level estimands in Bayesian causal computation
Model-based Bayesian inference for sample and population-level causal estimands has been growing in popularity. This literature routinely emphasizes clear specification of the target estimand, however blind implementation of standard computational ...
Oganisian Arman
doaj +1 more source
pyrichlet: A Python Package for Density Estimation and Clustering Using Gaussian Mixture Models
Bayesian nonparametric models have proven to be successful tools for clustering and density estimation. While there exists a nourished ecosystem of implementations in R, for Python there are only a few. Here we develop a Python package called pyrichlet,
Fidel Selva +2 more
doaj +1 more source
A Bayesian nonparametric method for prediction in EST analysis
Background Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library, several statistical prediction problems arise.
Prünster Igor +2 more
doaj +1 more source
Quantile pyramids for Bayesian nonparametrics [PDF]
Polya trees fix partitions and use random probabilities in order to construct random probability measures. With quantile pyramids we instead fix probabilities and use random partitions.
Hjort, Nils Lid, Walker, Stephen G.
core +1 more source
Aim This study aimed to describe the pharmacokinetics (PK) of levetiracetam (LEV) in term neonates treated for neonatal seizures secondary to hypoxic–ischemic encephalopathy (HIE). Methods Fifteen neonates were included and received a loading dose ranging from 30 to 60 mg/kg followed by eight maintenance doses corresponding to one‐fourth of the loading
Léo Mimram +9 more
wiley +1 more source

