Results 91 to 100 of about 70,213 (199)

Sex‐Specific Gene Expression Ontogeny During Gonadal Development in Post‐Metamorphic Xenopus tropicalis

open access: yesMolecular Reproduction and Development, Volume 93, Issue 4, April 2026.
Post‐metamorphic gonadal development in Xenopus tropicalis was analyzed through integrated morphometric, histological, and transcriptional approaches. Males showed upregulation of cyp17, amh, and amhr2, whereas females exhibited an increased aldh1a2 and ddx4.
Daniele Marini   +3 more
wiley   +1 more source

D-Vine Copula basierte Quantilsregression und die Simplifying Assumption für Vine Copulas

open access: yes, 2017
In the first part of this thesis we propose a novel semiparametric approach to perform quantile regression using D-vine copulas, a subclass of the flexible class of vine copula models. Various applications and the extension to discrete data are presented.
Kraus, Daniel
core  

Patient‐reported outcomes, postoperative pain and pain relief after day‐case surgery (POPPY): chronic post‐surgical pain prevalence and associations*

open access: yesAnaesthesia, Volume 81, Issue 4, Page 489-499, April 2026.
Summary Introduction Day‐case surgical activity is increasing in the UK yet there is a lack of data on the prevalence of chronic post‐surgical pain in this population. This study uses data from the POPPY study to estimate the prevalence of chronic post‐surgical pain after day‐case surgery, its relationship with quality of life and also explores ...
Adam B. Brayne   +2177 more
wiley   +1 more source

Nonparametric estimation of simplified vine copula models: comparison of methods

open access: yesDependence Modeling, 2017
In the last decade, simplified vine copula models have been an active area of research. They build a high dimensional probability density from the product of marginals densities and bivariate copula densities.
Nagler Thomas   +2 more
doaj   +1 more source

Alternative Approaches for Estimating Highest‐Density Regions

open access: yesInternational Statistical Review, Volume 94, Issue 1, Page 97-120, April 2026.
Summary Among the variety of statistical intervals, highest‐density regions (HDRs) stand out for their ability to effectively summarise a distribution or sample, unveiling its distinctive and salient features. An HDR represents the minimum size set that satisfies a certain probability coverage, and current methods for their computation require ...
Nina Deliu, Brunero Liseo
wiley   +1 more source

Selektion dünnbesetzter Vine Copulas in ultrahohen Dimensionen

open access: yes, 2017
This thesis considers the selection of sparse vine copulas, very flexible dependence models with widespread applications, in ultra high dimensions. We use both directed and undirected graphical models as well as univariate model selection methods to ...
Müller, Dominik Thomas
core  

Copulas in finance and insurance [PDF]

open access: yes, 2008
Copulas provide a potential useful modeling tool to represent the dependence structure among variables and to generate joint distributions by combining given marginal distributions. Simulations play a relevant role in finance and insurance.
Romera, Rosario, Molanes, Elisa M.
core   +1 more source

Gaussian Process Vine Copulas for Multivariate Dependence

open access: yes, 2013
Copulas allow to learn marginal distributions separately from the multivariate dependence structure (copula) that links them together into a density function. Vine factorizations ease the learning of high-dimensional copulas by constructing a hierarchy of conditional bivariate copulas. However, to simplify inference, it is common to assume that each of
Lopez-Paz, D.   +2 more
openaire   +4 more sources

Statistical Inference of Vine Copulas using the R-Package VineCopula

open access: yes, 2014
In this talk, the R-package VineCopula will be presented and illustrated by means of an example data set. The package contains functions for statistical inference of vine copulas and tools for exploratory data analysis and selection of bivariate copulas ...
Brechmann, Eike
core   +1 more source

Simplified vine copula models: State of science and affairs

open access: yesRisk Sciences
Vine copula models have become highly popular practical tools for modeling multivariate dependencies. To maintain tractability, a commonly employed simplifying assumption is that conditional copulas remain unchanged by the conditioning variables.
Thomas Nagler
doaj   +1 more source

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