The advent of big data has transformed the landscape of statistical science, demanding methods that can handle unprecedented volume, velocity and variety. Traditional inference techniques, designed ...
Causal inference in observational settings seeks to estimate the effect of exposures, treatments or interventions on outcomes in the absence of random assignment. Unlike experimental designs, ...
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