arXiv Open Access 2017

Conducting Highly Principled Data Science: A Statistician's Job and Joy

Xiao-Li Meng

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Abstrak

Highly Principled Data Science insists on methodologies that are: (1) scientifically justified, (2) statistically principled, and (3) computationally efficient. An astrostatistics collaboration, together with some reminiscences, illustrates the increased roles statisticians can and should play to ensure this trio, and to advance the science of data along the way.

Topik & Kata Kunci

stat.OT

Penulis (1)

Xiao-Li Meng

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Meng, X. (2017). Conducting Highly Principled Data Science: A Statistician's Job and Joy. https://arxiv.org/abs/1712.00544

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Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓