This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to probabilistic, generative, and self-learning systems. AI-driven DQ frameworks ...
Abstract: The problem of statistical inference in its various forms has been the subject of decades-long extensive research. Most of the effort has been focused on characterizing the behavior as a ...
Genevieve Carlton holds a Ph.D. in history from Northwestern University and earned tenure at the University of Louisville. Drawing on over 15 years of experience in higher education, Genevieve ...
My book 'Practical Guide to Applied Conformal Prediction: Learn and apply the best uncertainty frameworks to your industry applications' can be ordered on Amazon Amazon USA 🇺🇸, Amazon UK 🇬🇧, ...
1 Statistics Program, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia 2 Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, ...
Abstract: The debiased estimator is a crucial tool in statistical inference for high-dimensional model parameters. However, constructing such an estimator involves estimating the high-dimensional ...
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