Journal of Statistical Software
Research Hotspot & Research Scope
OasisR: An R Package to Bring Some Order to the World of Segregation Measurement
Mihai Tivadar ·
Computer SciencebsamGP: An R Package for Bayesian Spectral Analysis Models Using Gaussian Process Priors
Seongil Jo · Taeryon Choi · Beomjo Park · Peter J. Lenk ·
Computer ScienceFuzzy Forests: Extending Random Forest Feature Selection for Correlated, High-Dimensional Data
Daniel Conn · Tuck C. Ngun · Gang Li · Christina M. Ramirez ·
Computer SciencesingleCellHaystack is implemented as an R package, and includes additional functions for clustering and visualization of genes with interesting expression patterns.
As the electronics industry reaches the limits of lithographic processing at sub-10nm dimensions, alternate approaches to meet the demand for increasing device density, reducing package size and im.
The geometric analysis, Gibbs free energy analysis, OH/NH-stretching vibrational frequency calculation, and atoms in molecules (AIM) analysis were conducted to determine the interactions in the complexes.
The X-ray diffraction and electron probe microanalysis investigation of the unreduced and reduced ilmenite revealed the conversion of the FexOy-SiO2-Al2O3 system to Na2O-SiO2-Al2O3 by sodium carbonate.
Using deep learning classifiers, we have the potential to integrate cell- and region-specific annotations with clinical, genetic, and molecular data, providing unbiased data for clinicopathological correlations that will enhance our knowledge of the neurodegeneration.
To overcome these disadvantages, we trained a deep convolutional neural network (CNN) with residual learning for seismic data denoising.
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The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics. The Journal of Statistical Software is a peer-reviewed open-access scientific journal that publishes papers related to statistical software. The Journal of Statistical Software was founded in 1996 by Jan de Leeuw of the Department of Statistics at the University of California, Los Angeles. Its current editors-in-chief are Achim Zeileis, Bettina Grün, Edzer Pebesma, and Torsten Hothorn. It is published by the Foundation for Open Access Statistics. The journal charges no author fees or subscription fees.