The publications in each category below are given in reverse chronological order.
Articles for which I am the sole or corresponding author are shaded in grey (for those that care about that sort of thing).
You can also see me on: Google Scholar, Microsoft Academic, ORCID, or ResearchGate.
A Practical Implementation of Weighted Kernel Density Estimation for Handling Shape Constraints
Enforcing Shape Constraints on a Probability Density Estimate Using an Additive Adjustment Curve
Better Autologistic Regression
Large-Scale Transport of PM2.5 in the Lower Troposphere During Winter Cold Surges in China
Big Data in Biosciences
Dean, C. B., Bull, S., Khurram, N., and Wolters, M. A. (2017),
Wiley StatsRef: Statistics Reference Online.
Available here
Classification of Large-Scale Remote Sensing Images for Automatic Identification of Health Hazards
A Genetic Algorithm for Selection of Fixed-Size Subsets, with Application to Design Problems
Issues in the Identification of Smoke in Hyperspectral Satellite Imagery–-a Machine Learning Approach
A Greedy Algorithm for Unimodal Kernel Density Estimation by Data Sharpening
A Particle Swarm Algorithm with Broad Applicability in Shape-Constrained Estimation
Simulated Annealing Model Search for Subset Selection in Screening Experiments
Methods for Shape-Constrained Kernel Density Estimation
Wolters, M. A. (2012), Ph.D. Thesis, University of Western Ontario.
Link
A Greedy Algorithm for Unimodal Kernel Density Estimation by Data Sharpening
Wolters, M. A. (2009), Technical Report TR-09-01, Department of Statistical and Actuarial Sciences, University of Western Ontario.
PDF here
A Critical Look at Risk Measures: Why Statistics Don't Always Mean What they Say
Wolters, M. A. (2008), Fraser Forum, Feb. 2008, 24-27.
Real Risks: Statistical Thinking and Risk Perception
Wolters, M. A. (2007), Fraser Institute Digital Publications, Dec. 2007.
Link
Using Oversized Models to Find Active Variables in Screening Experiments
Wolters, M. A. (2007), M.Sc. Thesis, Simon Fraser Univeristy.
Link