Countries
International Conference on Statistical Methods...
2
May
Date
2 May (Saturday)
Time
Sat, 9:00 AM
Venue
Daegu, South Korea
Daegu, South Korea
📝 Useful Information
There are several upcoming international conferences in Daegu, South Korea, that focus on statistical methods and applied sciences throughout 2026.
Are you looking for information on a specific year or a particular sub-field of statistical methods, such as biostatistics or data science?
Featured Statistical Conferences in Daegu
Other Related Events in Daegu
•International Conference on Statistical Methods for Analyzing Engineering Data (ICSMAED)
•Date: May 2, 2026
•Location: Daegu, South Korea
•Type: Engineering and Statistics
•Description: This event provides a platform for global participants to share ideas and experiences in statistical methods specifically for engineering data.
•Website: ICSMAED 2026 Details
•International Conference on Mathematics, Statistics and Applied Science (ICMSA)
•Dates: February 18, 2026 and April 17, 2026
•Type: Mathematics and Applied Science
•Description: Organized by Sciencefora, this premier global platform addresses academic research and development challenges across various technological disciplines.
•Website: ICMSA 2026 Information
•International Conference on Statistical Learning and Artificial Intelligence Applications
•Date: July 13, 2026
•Type: Statistical Learning and AI
•Description: Part of a series of mathematics and statistics conferences held in South Korea focusing on modern applications of statistical learning.
•Website: ConferenceNext South Korea
•IEEE 19th International Conference on Advanced Motion Control (AMC2026): March 9–11, 2026. While focused on motion control, it includes data-driven technologies and is sponsored by the IEEE Industrial Electronics Society.
•International Conference on Big Data Technologies and Analytics Solutions: June 3, 2026. Focuses on big data and analytics solutions.
•International Conference on Manufacturing Models and Metrics (ICMMM): January 30, 2026. Focuses on manufacturing models and metrics.
Updated at 19 Mar 2026