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Statistical Theory and Related Fields call for papers

Current call-for-papers opportunities for Statistical Theory and Related Fields. Ranking signals: Indexed (Active), JIF 1.3. Use the official publisher page to verify scope and submission rules.

Accepting CFPs for Statistical Theory and Related Fields

Reliability with AI in Industrial Engineering and Economics

Deadline 2026-10-31Taylor & FrancisIndexed (Active)

Journal: Statistical Theory and Related Fields

In the era of rapid digital transformation, Artificial Intelligence (AI) has become a key enabler in industrial engineering and economic decision-making. AI-driven solutions have shown immense potential in predictive maintenance, risk management, quality control, and system optimization. However, as industries and economies increasingly rely on AI-powered systems, ensuring their reliability, robustness, and long-ter…

Statistical Learning and Intelligent Optimization in the Era of Data-Centric AI

Deadline 2026-12-05Taylor & FrancisIndexed (Active)

Journal: Statistical Theory and Related Fields

Statistical learning and intelligent optimization have become central to the advancement of data centric artificial intelligence, providing powerful frameworks for extracting knowledge, making predictions, and supporting decision making in increasingly complex data environments. Statistical learning methods offer rigorous approaches for modeling uncertainty, identifying patterns, and developing reliable predictive s…

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