1 code implementation • 18 Aug 2020 • Audrey M. Bertin, Benjamin S. Baumer
The advancement of scientific knowledge increasingly depends on ensuring that data-driven research is reproducible: that two people with the same data obtain the same results.
Computers and Society Computation K.3.2; K.7.4
no code implementations • 24 Oct 2017 • Amelia McNamara, Nicholas J. Horton, Benjamin S. Baumer
Donoho's JCGS (in press) paper is a spirited call to action for statisticians, who he points out are losing ground in the field of data science by refusing to accept that data science is its own domain.
3 code implementations • 23 Aug 2017 • Benjamin S. Baumer
Many interesting data sets available on the Internet are of a medium size---too big to fit into a personal computer's memory, but not so large that they won't fit comfortably on its hard disk.
Computation 62-07, 68U99
1 code implementation • 21 Jan 2017 • Michael J. Lopez, Gregory J. Matthews, Benjamin S. Baumer
Statistical applications in sports have long centered on how to best separate signal (e. g. team talent) from random noise.
Applications
1 code implementation • 14 Jan 2014 • Nicholas J. Horton, Benjamin S. Baumer, Hadley Wickham
Statistics students need to develop the capacity to make sense of the staggering amount of information collected in our increasingly data-centered world.
Computation Computers and Society Other Statistics 62-07
1 code implementation • 26 Dec 2013 • Benjamin S. Baumer, Shane T. Jensen, Gregory J. Matthews
Within baseball analytics, there is substantial interest in comprehensive statistics intended to capture overall player performance.
Applications 62P99
