A Survey on Causal Discovery and Estimation: Theory, Methods, and Applications

Author(s)	Pavan Nithin Mullapudi
Country	United States
Abstract	The ability to understand and leverage causality separates true intelligence from mere pattern recognition. This survey examines recent advances in causal discovery and estimation techniques, their theoretical foundations, computational implementations, and cross-domain applications. Causal discovery has evolved from a theoretical construct into a practical toolkit for reliable decision-making across diverse domains. We present a comprehensive overview of modern approaches to causal structure identification and effect estimation, emphasizing both methodological innovations and real-world applications in finance, supply chain management, and healthcare.
Field	Engineering
Published In	Volume 16, Issue 1, January-June 2025
Published On	2025-06-22
Cite This	A Survey on Causal Discovery and Estimation: Theory, Methods, and Applications - Pavan Nithin Mullapudi - IJAIDR Volume 16, Issue 1, January-June 2025. DOI 10.71097/IJAIDR.v16.i1.1449
DOI	https://doi.org/10.71097/IJAIDR.v16.i1.1449
Short DOI	https://doi.org/g9q33t

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Journal of Advances in Developmental Research