The Paired Swap Permutation Test is an exact non-parametric procedure that compares explanatory power of two dependent predictors via symmetric within-subject swapping for categorical data and ECDF mapping for continuous data.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
stat.ME 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces penalized spline SCR models fitted via Laplace-approximate penalized marginal likelihood to flexibly model nonlinear covariate effects on density and approximate LGCP activity centre processes.
citing papers explorer
-
Exact Comparison of Explanatory Strength of Two Dependent Predictors
The Paired Swap Permutation Test is an exact non-parametric procedure that compares explanatory power of two dependent predictors via symmetric within-subject swapping for categorical data and ECDF mapping for continuous data.
-
Spatial Capture-Recapture With Penalized Regression Splines to Flexibly Model Wildlife Density and Distribution
Introduces penalized spline SCR models fitted via Laplace-approximate penalized marginal likelihood to flexibly model nonlinear covariate effects on density and approximate LGCP activity centre processes.