3 citations · 4 across the 3 of their papers we have counts for
4 papers
The Content of Statistics and Data Science Collaborations: the QQQ Framework
Ilana M. Trumble, Jessica L. Alzen, Leanna L. House +1
For today's applied statisticians and data scientists, collaboration is a reality. Statisticians (and data scientists) may collaborate with domain experts across academic fields, i…
Estimating conditional probabilities of historical migrations in the transatlantic slave trade using kriging and Markov decision process models
Ashton Wiens, Henry B. Lovejoy, Zachary Mullen +1
Intra-African conflicts during the collapse of the kingdom of Oyo from 1817 to 1836 resulted in the enslavement of an estimated 121,000 people who were then transported to coastal…
Mapping the uncertainty of 19th century West African slave origins using a Markov decision process model
Zachary Mullen, Ashton Wiens, Eric Vance +1
The advent of modern computers has added an increased emphasis on channeling computational power and statistical methods into digital humanities. Including increased statistical ri…
The ASCCR Frame for Learning Essential Collaboration Skills
Eric A. Vance, Heather S. Smith
Statistics and data science are especially collaborative disciplines that typically require practitioners to interact with many different people or groups. Consequently, interdisci…