Submit a Manuscript to the Journal

Research in Statistics

For a Special Issue on

The VIII Workshop on Computational Data Analysis and Numerical Methods (WCDANM)

Manuscript deadline
07 November 2023

Cover image - Research in Statistics

Special Issue Editor(s)

Milan Stehlik, Institute of Applied Statistics, Johannes Kepler University Linz, Austria and Instituto de Estadística, Universidad de Valparaíso, Chile
[email protected]

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The VIII Workshop on Computational Data Analysis and Numerical Methods (WCDANM)

This Special Issue devoted to the VIII Workshop on Computational Data Analysis and Numerical Methods (WCDANM) encourages the submission of full papers associated with WCDANM. Authors who presented at the conference are welcome to submit full papers based on the results presented at WCDANM, and the journal welcomes submissions beyond the conference as well.

Papers should describe research related to the areas of Mathematics and Statistics in general, with particular relevance in Computational Data Analysis and Numerical Methods in theoretical and/or practical field, using new techniques. Special emphasis is given to applications in Medicine, Biology, Biotechnology, Engineering, Industry, Environmental Sciences, Finance, Insurance, Management and Administration. The WCDANM special issue topics include, but are not limited to, the following:

  • Probability Theory
  • Distribution Theory
  • Stochastic Processes
  • Simulation
  • Parametric and Nonparametric Inference
  • Multivariate Analysis
  • Bayesian Inference
  • Regression Analysis
  • Statistical Modeling
  • Estimation Theory
  • Decision Theory
  • Econometrics
  • Statistical Tomography and Image Processing
  • Statistical Process Control
  • Time Series
  • Structural Equation Modeling
  • Data Mining
  • Big Data
  • Machine Learning
  • Data Analysis
  • Sampling Theory

Submission Instructions

Please be sure to choose the appropriate Special Issue title, "VIII Workshop on Computational Data Analysis and Numerical Methods," when submitting your paper.

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