Nonparametric functional data analysis encompasses statistical methods for data represented as continuous curves or functions rather than scalar or vector measurements. These techniques avoid rigid ...

Clustering is commonly used in single-cell RNA-sequencing (scRNA-seq) pipelines to characterize cellular heterogeneity. However, current methods face two main limitations. First, they require ...

Albert Sun examined data on hundreds of thousands of immigration arrests in newly available government records. The federal deployments that have swept through major cities as part of President ...

ABSTRACT: In a previous article, an R script was developed and divided into three parts to implement the multivariate normality (MVN) Q-test based on both the chi-square approximation and the ...

Wells Fargo’s Paul Christopher, Northern Trust’s Carl Tannenbaum and Parametric’s Nisha Patel, join 'The Exchange' to discuss the upcoming Fed decision. Got a confidential news tip? We want to hear ...

Abstract: We introduce a nonparametric data-driven classifier that harnesses the statistical properties of the data through the cumulant generating function of the training data. Its implementation is ...

The Expectation Maximization (EM) algorithm is used to reduce Poisson noise in CT images. The repository provides derivations and evaluations with the Cramer-Rao Lower Bound (CRLB).

ABSTRACT: The objectives of this paper are to demonstrate the algorithms employed by three statistical software programs (R, Real Statistics using Excel, and SPSS) for calculating the exact two-tailed ...