Deep learning has proven to be more effective than other methods in medi...
The statistical shape analysis called Procrustes analysis minimizes the
...
In comparative neuroanatomy, the characterization of brain cytoarchitect...
When analyzing data researchers make some decisions that are either
arbi...
Generalized linear models usually assume a common dispersion parameter. ...
Functional alignment between subjects is an important assumption of
func...
We propose a novel resampling-based method to construct an asymptoticall...
Between the years 2015 and 2019, members of the Horizon 2020-funded
Inno...
Sum-based global tests are highly popular in multiple hypothesis testing...
We develop a general permutation-based closed testing method to compute ...
The Procrustes method allows to align matrices into a common space using...
Permutation testing in linear models, where the number of nuisance
coeff...
The massive diffusion of social media fosters disintermediation and chan...
In the past two decades, psychological science has experienced an
unprec...
Generalized linear models are often misspecified due to overdispersion,
...
In this article we provide initial findings regarding the problem of sol...