posted by organizer: monika93 || 1650 views || tracked by 2 users: [display]

SI AMiDA 2022 : Special Issue on Advanced Methods in Data Analysis

FacebookTwitterLinkedInGoogle

Link: https://www.degruyter.com/journal/key/stat/html
 
When N/A
Where N/A
Submission Deadline Jun 22, 2022
Categories    statistics   data analysis   nonparametric estimation   artificial intelligence
 

Call For Papers

SPECIAL ISSUE ON ADVANCED METHODS IN DATA ANALYSIS

GUEST EDITOR:

Christophe Chesneau, University of Caen, France

DEADLINE

The deadline for submissions is JUNE 22, 2022, but individual papers will be reviewed and published online on an ongoing basis.

DESCRIPTION

This thematic special issue in Open Statistics is devoted to the advanced methods in data analysis.

In recent years, many new techniques have been developed in the literature, revisiting traditional approaches thanks to technological advancements. Regression, machine learning, nonparametric estimation, statistical algorithms, Bayes methods,
and sampling techniques are all examples. The goal of this special issue is to compile a collection of original articles that apply these techniques to current data in a variety of fields (biology, medicine, agriculture, engineering, hydrology, finance, and so on). The importance of the analysis’ discussion, interpretations, and consequences for the future generation will be crucial.
Contributions to the Special Issue may address (but are not limited) to the following aspects:
• Contemporary data analysis
• Nonparametric estimation
• Statistical algorithm
• Machine learning
• Sampling
• Artificial intelligence
• Data mining
• Clustering
Authors are requested to submit their full revised papers complying with the general scope of the journal. The submitted papers will undergo the standard peer-review process before they can be accepted. Notification of acceptance will be communicated
as we progress with the review process.

ABOUT THE JOURNAL:

Open Statistics is a fully peer-reviewed, open access, electronic journal that publishes significant, original, and relevant works in all areas of statistics.

For more information, please visit our website

https://www.degruyter.com/journal/key/stat/html

CALL FOR PAPERS:

https://www.degruyter.com/publication/journal_key/STAT/downloadAsset/STAT_CFP%20Advanced%20Methods%20in%20Data%20Analysis.pdf

HOW TO SUBMIT

Manuscripts should be submitted to the journal via online submission system Editorial Manager available for this journal

https://www.editorialmanager.com/stat

In case of questions, please contact the Editorial Office of this journal at openstatistics@degruyter.com

Related Resources

SDM 2023   SDM 2023 : SIAM International Conference on Data Mining
EI-CFAIS 2023   2023 International Conference on Frontiers of Artificial Intelligence and Statistics (CFAIS 2023)
MDA 2024   19th International Conference on Mass Data Analysis of Images and Signals with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biomet
JCRAI 2023-Ei Compendex & Scopus 2023   2023 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2023)
SI-MLT 2023   Special Issue on MACHINE LEARNING IN TOURISM - Int. J. of Machine Learning and Cybernetics (Springer)
CFMAI 2023   2023 5th International Conference on Frontiers of Mathematics and Artificial Intelligence (CFMAI 2023)
SI on Big Data 2023   Special Issue on Big Data and Large-Scale Data Processing Applications
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
SI-DL4BDA 2023   Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis
ISCAI 2023   2023 5th International Symposium on Computing and Artificial Intelligence (ISCAI 2023)