Carey E. Priebe is affiliated with Johns Hopkins University in the United States and has a substantial body of research primarily situated within the field of Computer Science. Their work spans topics related to Artificial Intelligence, Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Vision and Pattern Recognition, and Statistics and Probability.
The research topics associated with Priebe include:
Priebe has published extensively, with a strong presence in venues such as arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Applied Network Science, IEEE Transactions on Network Science and Engineering, and the Journal of Computational and Graphical Statistics.
Recent papers authored or co-authored by Priebe include:
Frequent collaborators in Priebe's research include Youngser Park, Hayden S. Helm, Joshua T Vogelstein, Vince Lyzinski, and Avanti Athreya. The volume of collaboration with these coauthors ranges from 20 to 43 joint publications.
In recognition of their contributions, Carey E. Priebe was named a Fellow of the American Statistical Association in 2002.
Katharina Eichler;Feng Li;Ashok Litwin-Kumar;Youngser Park
Carey E. Priebe;John M. Conroy;David J. Marchette;Youngser Park
Daniel L. Sussman;Minh Tang;Donniell E. Fishkind;Carey E. Priebe
Joshua T. Vogelstein;Youngser Park;Tomoko Ohyama;Rex A. Kerr
Kevin S. Woods;Christopher C. Doss;Kevin W. Bowyer;Jeffrey L. Solka
Da Zheng;Disa Mhembere;Randal Burns;Joshua Vogelstein
Samuel Carliles;Tamás Budavári;Sébastien Heinis;Carey Priebe
Joshua T. Vogelstein;John M. Conroy;Vince Lyzinski;Louis J. Podrazik
Minh Tang;Daniel L. Sussman;Carey E. Priebe
Vince Lyzinski;Minh Tang;Avanti Athreya;Youngser Park
Avanti Athreya;Donniell E. Fishkind;Minh Tang;Carey E. Priebe
Vince Lyzinski;Donniell E. Fishkind;Marcelo Fiori;Joshua T. Vogelstein
Minh Tang;Avanti Athreya;Daniel L. Sussman;Vince Lyzinski
Patrick Rubin-Delanchy;Carey E. Priebe;Minh Tang;Joshua Cape
Daniel L. Sussman;Minh Tang;Carey E. Priebe
Vince Lyzinski;Daniel L. Sussman;Minh Tang;Avanti Athreya
A. Athreya;C. E. Priebe;M. Tang;V. Lyzinski
Donniell E. Fishkind;Daniel L. Sussman;Minh Tang;Joshua T. Vogelstein
Heng Wang;Minh Tang;Youngser Park;Carey E. Priebe
Minh Tang;Avanti Athreya;Daniel L. Sussman;Vince Lyzinski
Avanti Athreya;Donniell E. Fishkind;Keith Levin;Vince Lyzinski
If you think any of the details on this page are incorrect, let us know.
For students studying Mathematics in the USA, exploring related online degrees can open doors to diverse career paths. A master in data analytics is an excellent option for those interested in turning mathematical skills into actionable business insights. This growing field leverages statistical analysis and computational techniques, making it a natural extension for math graduates.
For those looking to combine quantitative skills with leadership abilities, pursuing an MBA might be the next step. Many students consider enrolling in the easiest MBA programs to get into, which can provide flexibility and accessibility without sacrificing quality. Alternatively, easy online MBA programs offer a convenient option for working professionals aiming to enhance their managerial expertise while continuing to work.
For those interested in advanced business leadership roles, exploring the dba online programs can be a valuable step. These Doctorate of Business Administration programs combine rigorous research with practical business strategies, complementing mathematical analytical skills with high-level decision-making capabilities.
University of Oxford
Oklahoma State University
Collège de France
Minerva Foundation
Princeton University
Cornell University
Ames Research Center
Durham University
University of California, Davis
University of Freiburg
University of Guelph
University of Alabama at Birmingham
Government of the United Kingdom
Heinrich Heine University Düsseldorf
Durham University
University of Tübingen
