نتایج جستجو برای: nonparametric topological data analysis
تعداد نتایج: 4542861 فیلتر نتایج به سال:
Introduction: Graph theoretical analysis of functional Magnetic Resonance Imaging (fMRI) data has provided new measures of mapping human brain in vivo. Of all methods to measure the functional connectivity between regions, Linear Correlation (LC) calculation of activity time series of the brain regions as a linear measure is considered the most ubiquitous one. The strength of the dependence obl...
Since December 2019, many statistical spatial–temporal methods have been developed to track and predict the spread of COVID-19 pandemic. In this paper, we analyzed dataset which includes number biweekly infected cases registered in Ontario from March 2020 end June 2021. We made use Bayesian Spatial–temporal models Area-to-point (ATP) Area-to-area (ATA) Poisson Kriging models. With models, effec...
The nonparametric and the nuisance parameter approaches to consistently testing statistical models are both attempts to estimate topological measures of distance between a parametric and a nonparametric t, and neither dominates in experiments. This topological uniication allows us to greatly extend the nuisance parameter approach. How and why the nuisance parameter approach works and how it can...
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