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06/27/2023
NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images
Deep learning has proven to be more effective than other methods in medi...
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01/15/2023
Procrustes-based distances for exploring between-matrices similarity
The statistical shape analysis called Procrustes analysis minimizes the ...
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11/14/2022
MR-NOM: Multi-scale Resolution of Neuronal cells in Nissl-stained histological slices via deliberate Over-segmentation and Merging
In comparative neuroanatomy, the characterization of brain cytoarchitect...
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10/06/2022
Post-selection Inference in Multiverse Analysis (PIMA): an inferential framework based on the sign flipping score test
When analyzing data researchers make some decisions that are either arbi...
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09/28/2022
Inference in generalized linear models with robustness to misspecified variances
Generalized linear models usually assume a common dispersion parameter. ...
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09/16/2022
Enhanced hyperalignment via spatial prior information
Functional alignment between subjects is an important assumption of func...
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05/25/2022
Resampling-Based Multisplit Inference for High-Dimensional Regression
We propose a novel resampling-based method to construct an asymptoticall...
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05/16/2021
Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
Between the years 2015 and 2019, members of the Horizon 2020-funded Inno...
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02/23/2021
Permutation-based true discovery guarantee by sum tests
Sum-based global tests are highly popular in multiple hypothesis testing...
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12/01/2020
Permutation-based true discovery proportions for fMRI cluster analysis
We develop a general permutation-based closed testing method to compute ...
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08/11/2020
The von Mises-Fisher Procrustes model in functional Magnetic Resonance Imaging data
The Procrustes method allows to align matrices into a common space using...
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01/06/2020
Permutation testing in high-dimensional linear models: an empirical investigation
Permutation testing in linear models, where the number of nuisance coeff...
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12/23/2019
(Mis)Information Operations: An Integrated Perspective
The massive diffusion of social media fosters disintermediation and chan...
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09/30/2019
Enhancing statistical inference in psychological research via prospective and retrospective design analysis
In the past two decades, psychological science has experienced an unprec...
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09/09/2019
Robust testing in generalized linear models by sign-flipping score contributions
Generalized linear models are often misspecified due to overdispersion, ...
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04/22/2019