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Journal of Applied Statistics

For a Special Issue on

Computational Data Analysis and Applied Statistical Modelling: Advances from WCDANM 2026

Manuscript deadline

Special Issue Editor(s)

Milan Stehlik, Universidad de Valparaíso, Valparaíso, Chile
mlnstehlik@gmail.com

Luís Miguel Grilo, Universidade de Évora, Portugal
luis.grilo@uevora.pt

Journal information

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Computational Data Analysis and Applied Statistical Modelling: Advances from WCDANM 2026

This Special Issue features selected research from the X Workshop on Computational Data Analysis and Numerical Methods (WCDANM 2026) held at the University of Minho in Guimarães, Portugal. Led by Principal Guest Editor Professor Milan Stehlík and Co-Guest Editor Professor Luís Miguel Grilo, this volume focuses on innovative statistical methodologies motivated by practical data problems. While highlighting work from the workshop, this call is fully open to the general public. We invite all researchers to submit original papers that demonstrate how computational statistics and numerical methods solve real-world challenges.

Topics of Interest
    • Computational Data Analysis and advanced applied statistical modeling
    • Numerical Methods and computational algorithms for statistical inference
    • Biostatistics and Medicine applications including clinical and biomedical data analysis
    • Environmental Sciences modeling, ecology, and climate data applications
    • Engineering and Industry process optimization, quality control, and simulation
    • Finance, Insurance, and Management risk modeling and predictive analytics
    • Machine Learning and AI integrations within applied statistical frameworks


Submission Instructions

Please select "Advances from WCDANM 2026" from the dropdown list of special issue options at the "Manuscript" step when submitting your paper on the Journal of Applied Statistics Submission Portal.

Read the Instructions for Authors on Journal of Applied StatisticsSubmit an article to Journal of Applied Statistics

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