FSML – A Modern Fortran Statistics and Machine Learning Library

FSML is a Modern Fortran statistics and machine learning library suitable for contemporary research problems and teaching. It includes procedures for basic statistics, hypothesis tests, linear and non-linear methods, and statistical distribution functions.

Authors

Sebastian G. Mutz (ORCID: https://orcid.org/0000-0001-8180-6150)

Institutions

University of Glasgow (GB)

Publication Details

Journal: The Journal of Open Source Software
Published: 2025-12-20
DOI: https://doi.org/10.21105/joss.09058
Primary Topic: Gaussian Processes and Bayesian Inference
Type: article
Field-Weighted Citation Impact: 0.00

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article

FSML – A Modern Fortran Statistics and Machine Learning Library

Sebastian G. Mutz

Dec 20, 2025

The Journal of Open Source Software

Gaussian Processes and Bayesian Inference

article

FSML – A Modern Fortran Statistics and Machine Learning Library

Sebastian G. Mutz

December 20, 2025article en

Abstract

The Journal of Open Source SoftwareVol. 10(116)

University of Glasgow (GB)

Openalex Percentile: Top 78%

Gaussian Processes and Bayesian Inference

DOI Open Access PDF OpenAlex

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FSML – A Modern Fortran Statistics and Machine Learning Library — Sebastian G. Mutz · The Journal of Open Source Software (2025) | TGRS Research Map | TGRS