Results 81 to 90 of about 538,072 (320)
Objective Bayesian analysis for the multivariate skew-t model
, 2017 We perform a Bayesian analysis of the p-variate skew-t model, providing a new parameterization, a set of non-informative priors and a sampler specifically designed to explore the posterior density of the model parameters.
Liseo, Brunero, Parisi, Antonio
core +1 more source
International Forum of Allergy &Rhinology, EarlyView.ABSTRACT Objectives To evaluate the impact of the extent of resection and adjuvant radiotherapy (RT) on treatment outcomes in patients with early‐stage olfactory neuroblastoma (ONB) without definite dural invasion. Methods A retrospective review of ONB cases from two centers within a single institution between 1992 and 2023 was performed ...
Tae‐Bin Won +8 more
wiley +1 more source
Entropy, 2017 Copula functions have been extensively used to describe the joint behaviors of extreme hydrological events and to analyze hydrological risk. Advanced marginal distribution inference, for example, the maximum entropy theory, is particularly beneficial for
Aijun Guo +4 more
doaj +1 more source
Government expenditure and economic growth: Evidence from trivariate causality testing [PDF]
This paper seeks to examine if the relative size of government (measured as the share of total expenditure in GNP can be determined to Granger cause the rate of economic growth, or if the rate of economic growth can be determined to Granger cause the ...
George Vamvoukas, John Loizides
core
Cerebral Small Vessel Disease in Older Adults With Olfactory Dysfunction
International Forum of Allergy &Rhinology, EarlyView.ABSTRACT Background Poor vascular health has been associated with age‐related declines in sensory functions, including olfaction. The current study was designed to test the hypothesis that cerebral small vessel disease underlies poor olfactory function due to structural declines in brain regions that support olfaction.
Mark A. Eckert +3 more
wiley +1 more source
Generalized bi-additive modelling for categorical data [PDF]
Generalized linear modelling (GLM) is a versatile technique, which may be viewed as a generalization of well-known techniques such as least squares regression, analysis of variance, loglinear modelling, and logistic regression.
Groenen, P.J.F., Koning, A.J.
core +1 more source
Prevalence of exclusive breastfeeding and its determinants in first 6 months of life: A prospective study [PDF]
, 2009 Background: Exclusive breastfeeding for first 6 months of life is recommended under Infant and Young Child Feeding practices in India. The objective of present study was to estimate the prevalence of exclusive breastfeeding during first 6 months of life ...
Amin, Chikitsa D +2 more
core +1 more source
Annals of Neurology, EarlyView.Objectives To examine volumetric magnetic resonance imaging (vMRI) in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD), compared to multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), and healthy controls (HC). Methods Standardized vMRI in MOGAD were compared to age, sex, and disease duration matched MS (5:1),
Amy Kunchok +10 more
wiley +1 more source
Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis
EURASIP Journal on Advances in Signal Processing, 2008 The aim of this paper was to compare empirical mode decomposition (EMD) and two new extended methods of  EMD named complex empirical mode decomposition (complex-EMD) and bivariate empirical mode decomposition (bivariate-EMD).
Jacques Duchêne +3 more
doaj +1 more source
Analysis of Bivariate Coupling by Means of Recurrence [PDF]
, 2007 In the analysis of coupled systems, various techniques have been developed to model and detect dependencies from observed bivariate time series. Most well-founded methods, like Granger-causality and partial coherence, are based on the theory of linear systems: on correlation functions, spectra and vector autoregressive processes.
Norbert Marwan +8 more
openaire +2 more sources