18 citations · 34 across the 8 of their papers we have counts for
8 papers
Post-Selection Inference for Multiverse Analysis in Mixed-Effects Models (PIMAX)
Anna Vesely, Angela Andreella
Sign-flipping score tests provide robust inference in generalized linear models under variance misspecification and form the basis of two recent inferential frameworks: post-select…
Inference on multiple quantiles in regression models by a rank-score approach
Riccardo De Santis, Anna Vesely, Angela Andreella
This paper tackles the challenge of performing multiple quantile regressions across different quantile levels and the associated problem of controlling the familywise error rate, a…
Selective inference for fMRI cluster-wise analysis, issues, and recommendations for critical vector selection: A comment on Blain et al
Angela Andreella, Anna Vesely, Weeda Wouter +1
Two permutation-based methods for simultaneous inference on the proportion of active voxels in cluster-wise brain imaging analysis have recently been published: Notip (Blain et al.…
Procrustes-based distances for exploring between-matrices similarity
Angela Andreella, Riccardo De Santis, Anna Vesely +1
The statistical shape analysis called Procrustes analysis minimizes the distance between matrices by similarity transformations. The method returns a set of optimal orthogonal matr…
Post-selection Inference in Multiverse Analysis (PIMA): an inferential framework based on the sign flipping score test
Paolo Girardi, Anna Vesely, Daniël Lakens +4
When analyzing data researchers make some decisions that are either arbitrary, based on subjective beliefs about the data generating process, or for which equally justifiable alter…
Resampling-Based Multisplit Inference for High-Dimensional Regression
Anna Vesely, Jelle J. Goeman, Livio Finos
We propose a novel resampling-based method to construct an asymptotically exact test for any subset of hypotheses on coefficients in high-dimensional linear regression. It can be e…