Ryan Parker is a Senior Research Statistician Developer at JMP. In addition to developing the Functional Data Explorer platform for JMP Pro, he is also responsible for the Gaussian Process platform and the Bootstrap/Simulate features. Ryan has contributed to the assess variable importance technique in JMP Profiler, as well as variable clustering. He studied statistics at North Carolina State University, earning a Ph.D. in 2015.
Presentations
- Peaks, Pipes, Presets, Profiles, and Python in JMP® 18 Plenary
- An Introduction To Spectral Data Analysis With Functional Data Explorer in JMP® Pro 17 (2023-EU-30MP-1264) Plenary
- An Introduction to Spectral Data Analysis with Functional Data Explorer in JMP Pro 17 (2022-US-30MP-1158) Plenary
- Analyzing Functional Data with Direct Functional PCA in Functional Data Explorer (2021-US-30MP-913) Plenary