www.jstatsoft.org Open in urlscan Pro
138.232.16.156  Public Scan

Submitted URL: http://www.jstatsoft.org/
Effective URL: https://www.jstatsoft.org/index
Submission: On May 17 via api from US — Scanned from AT

Form analysis 0 forms found in the DOM

Text Content

 * Main Navigation
 * Main Content
 * Sidebar

 * Register
 * Login

Toggle navigation




 * Information on Mission
 * Information for Authors
 * Style Guide
 * Volumes
   * Current
   * Archives
 * About
   * About the Journal
   * Editorial Team
   * Submissions
   * Privacy Statement
   * Contact

 * Register
 * Login

 * Search

Established in 1996, the Journal of Statistical Software publishes articles on
statistical software along with the source code of the software itself and
replication code for all empirical results. Furthermore, shorter code snippets
are published as well as book reviews and software reviews. All contents are
freely available online under open licenses. We aim to present research that
demonstrates the joint evolution of computational and statistical methods and
facilitates their application in practice. Implementations can use languages and
environments like R, Python, Julia, MATLAB, SAS, Stata, C, C++, Fortran, among
others. See our mission statement for more details.


RECENT PUBLICATIONS (VOL. 109)


ARTICLES


BIZICOUNT: BIVARIATE ZERO-INFLATED COUNT COPULA REGRESSION USING R

John M. Niehaus, Lin Zhu, Scott J. Cook, Mikyoung Jun
Vol. 109, Issue 1

Paper R package (bizicount) Replication materials


SCIKIT-FDA: A PYTHON PACKAGE FOR FUNCTIONAL DATA ANALYSIS

Carlos Ramos-Carreño, José Luis Torrecilla, Miguel Carbajo-Berrocal, Pablo
Marcos, Alberto Suárez
Vol. 109, Issue 2

Paper Python package (scikit-fda) Replication materials


OPENTSNE: A MODULAR PYTHON LIBRARY FOR T-SNE DIMENSIONALITY REDUCTION AND
EMBEDDING

Pavlin G. Poličar, Martin Stražar, Blaž Zupan
Vol. 109, Issue 3

Paper Python package (openTSNE) Replication materials


MAGI: A PACKAGE FOR INFERENCE OF DYNAMIC SYSTEMS FROM NOISY AND SPARSE DATA VIA
MANIFOLD-CONSTRAINED GAUSSIAN PROCESSES

Samuel W. K. Wong, Shihao Yang, S. C. Kou
Vol. 109, Issue 4

Paper R package (magi) Replication materials


FUNGP: AN R PACKAGE FOR GAUSSIAN PROCESS REGRESSION WITH SCALAR AND FUNCTIONAL
INPUTS

José Betancourt, François Bachoc, Thierry Klein, Déborah Idier, Jérémy Rohmer,
Yves Deville
Vol. 109, Issue 5

Paper R package (funGp) R replication code Supplementary data (R binary format)
View All Issues
You can help us to improve our editorial management system by reporting possible
issues [read more].


JOURNAL INFORMATION


JOURNAL INFORMATION

Publisher:Foundation for Open Access Statistics
Editors-in-chief:Bettina Grün, Torsten Hothorn, Rebecca Killick, Nathalie
Vialaneix, Achim Zeileis
Board:Editorial Team
ISSN:1548-7660
CODEN:JSSOBK



LATEST ANNOUNCEMENTS


LATEST ANNOUNCEMENTS

 * Transition to new editorial system
   2021-09-27
 * New editorial team members
   2021-03-19
 * Changes in editorial team
   2017-01-29


SPONSORED BY




SUPPORT


As a matter of principle, JSS charges no author fees or subscription fees. Our
editors, reviewers, and programmers are volunteers. Universität Innsbruck,
Universität Zürich, and UCLA Statistics provide support staff, website
maintenance, website hosting, and some graduate student support. Because of our
success and growth we do need more resources in the future. You can support us
by becoming a member of the Foundation for Open Access Statistics at
www.foastat.org, and by contributing on their donation page.
Internal
 * Information for Librarians
 * Announcements
 * About the Journal
 * Editorial Team
 * Information on Mission
 * Contact
 * Privacy Statement


External
 * JSS @Facebook
 * JSS @Twitter
 * American Statistical Association Publications
 * Journal of Computational and Graphical Statistics
 * Current Index to Statistics
 * JSS in SCImago Journal Database
 * JSS in Directory of Open Access Journals
 * JSS BibTeX Database (1996-2015)
 * JSS in IDEAS