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Conceptual review traces early probabilistic thought and inference in Vedic literature, highlighting historical foundational principles for modern data analytics.
The Vedic corpus of India provides one of the earliest intellectual frameworks for systematic reasoning, measurement, and probabilistic thought. Texts such as the Sulba Sutras and Jyotisha reveal sophisticated approaches to geometry, enumeration, and astronomical tabulation, while philosophical traditions like Nyaya and Vaisheshika articulate principles of inference and uncertainty. This article examines the Vedic roots of statistical thinking, traces their evolution into structured methodologies, and highlights their relevance to contemporary data analytics.
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Soma Dhar (2026) studied this question.
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