Research Interests

Causal Inference, Data Science, Statistical Shape Analysis, Topological Data Analysis

For more information please go to https://works.bepress.com/robert-paige/

My research has been funded by the National Security Agency and is presently funded by the National Science Foundation.

The title of my NSF funded collaborative (with Dr. Vic Patrangenaru at FSU) research project is

Collaborative Research : Advances in the Theory and Practice of Non-Euclidean Statistics

Feel free to contact me if you are an undergraduate or graduate student interested in doing statistics research

Books in Progress

Paige, R.L. and Patrangenaru, V. (2023) Geometric-Topological Statistical Methods for the Analysis of Image Data in R (under contract with Chapman & Hall)

Teaching Schedule for Fall 2023

Stat 3117 Introduction to Probability and Statistics (syllabus available on Canvas)

Stat 5001 Foundations of Statistical Learning (syllabus available on Canvas)

Teaching (New Courses Developed)

Stat 5001 Causal Data Science (To be offered for the first time in Spring 2024)

Stat 5001 Statistical Shape Analysis (hopefully offered again in Fall 2024)

Stat 5001 Topological Data Analysis

Stat 5001 Computational Bayesian Methods using Python

Stat 5001 Foundations of Statistical Learning

Stat 5001 Design and Analysis of Clinical Trials

Stat 5001 Design and Analysis of Epidemiological Studies

Stat 5001 Statistical Data Analysis with R

Education

• PhD. in Statistics, Colorado State University
• M.S. in Mathematics, Colorado State University
• B.S. in Mathematics (Concentration in Actuarial Science), Colorado State University