78 citations · 92 across the 6 of their papers we have counts for
8 papers
Integrating computing in the statistics and data science curriculum: Creative structures, novel skills and habits, and ways to teach computational thinking
Nicholas J. Horton, Johanna S. Hardin
Nolan and Temple Lang (2010) argued for the fundamental role of computing in the statistics curriculum. In the intervening decade the statistics education community has acknowledge…
"Playing the whole game": A data collection and analysis exercise with Google Calendar
Albert Y. Kim, Johanna Hardin
We provide a computational exercise suitable for early introduction in an undergraduate statistics or data science course that allows students to 'play the whole game' of data scie…
A Unified Framework for Random Forest Prediction Error Estimation
Benjamin Lu, Johanna Hardin
We introduce a unified framework for random forest prediction error estimation based on a novel estimator of the conditional prediction error distribution function. Our framework e…
Using GitHub Classroom To Teach Statistics
Jacob Fiksel, Johanna S. Hardin, Leah R. Jager +1
Git and GitHub are common tools for keeping track of multiple versions of data analytic content, which allow for more than one person to simultaneously work on a project. GitHub Cl…
Dynamic Data in the Statistics Classroom
Johanna Hardin
The call for using real data in the classroom has long meant using datasets which are culled, cleaned, and wrangled prior to any student working with the observations. However, an…
Resistant Multiple Sparse Canonical Correlation
Jacob Coleman, Joseph Replogle, Gabriel Chandler +1
Canonical Correlation Analysis (CCA) is a multivariate technique that takes two datasets and forms the most highly correlated possible pairs of linear combinations between them. Ea…
Network Analysis with the Enron Email Corpus
Johanna Hardin, Ghassan Sarkis, P. C. Urc
We use the Enron email corpus to study relationships in a network by applying six different measures of centrality. Our results came out of an in-semester undergraduate research se…
A method for generating realistic correlation matrices
Johanna Hardin, Stephan Ramon Garcia, David Golan
Simulating sample correlation matrices is important in many areas of statistics. Approaches such as generating Gaussian data and finding their sample correlation matrix or generati…