A batch process for high dimensional imputation

Waggoner, Philip

doi:10.1007/s00180-023-01325-9

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Leveraging the ever-increasing amount and availability of data produced and recorded through online interactions, artificial intelligence (AI), and more specifically machine learning (ML), are areas where enormous advances have been made. Applications are wonderfully diverse, from task-specific applications (e.g., [9][10][11][12]), to larger-scale ecosystems covering every part of a data modeling pipeline, from making sense out of messy data to building predictive models, all within a unified software interface such as H2O [13][14][15], scikit-learn [16], or tidymodels [17]. Despite the ease of use of these new technologies, the latter underscores a current point of tension in statistical computing, as the field is split around polyvalent, easy-to-use, fast-to-build tools and languages; and low-level languages or dedicated, sometimes model-class-specific, ecosystems used for production or for particular applications.…”

Section: Artificial Intelligencementioning

confidence: 99%

Where Are We Going with Statistical Computing? From Mathematical Statistics to Collaborative Data Science

Makowski

Waggoner

2023

Mathematics

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The field of statistical computing is rapidly developing and evolving. Shifting away from the formerly siloed landscape of mathematics, statistics, and computer science, recent advancements in statistical computing are largely characterized by a fusing of these worlds; namely, programming, software development, and applied statistics are merging in new and exciting ways. There are numerous drivers behind this advancement, including open movement (encompassing development, science, and access), the advent of data science as a field, and collaborative problem-solving, as well as practice-altering advances in subfields such as artificial intelligence, machine learning, and Bayesian estimation. In this paper, we trace this shift in how modern statistical computing is performed, and that which has recently emerged from it. This discussion points to a future of boundless potential for the field.

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Section: Artificial Intelligencementioning

confidence: 99%