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HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach

Summary: HYPER enables what-if and how-to hypothetical reasoning over data with probabilistic causal dependencies, capturing cross-attribute effects from updates. Extending SQL with new operators, it defines semantics and algorithms grounded in causality and probabilistic databases, with optimizations and experimental evaluation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6461
Venue
SIGMOD
Year
2022
Pagerank
5.4137872e-05
Overall Rank
5,607 | 61.00%
DOI
10.1145/3514221.3526149

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