Publications

*M. Czekanski, S. Kimmel, R.T. Witter (2023). Robust and Space-Efficient Dual Adversary Quantum Query Algorithms. European Symposium on Algorithms 2023.

A. Lyford, M. Czekanski (2020). Teaching students to estimate complex probabilities of board game events through simulation. Teaching Statistics, 42(3), 117–125.

M. Czekanski, A. Lyford (2020). Scratch off tickets: A good investment? Math Horizons, 27 (3). 18–20.

*names ordered alphabetically

Talks

M. Czekanski, A. Lyford (2021). Probabilistic Decision Making—Looking Beyond Expected Value. Joint Math Meetings 2021. Virtual. January 2021.

M. Czekanski, A. Lyford (2020). Scratch off tickets: A good investment! Hudson River Undergraduate Mathematics Conference. Holyoke, MA. April 2020 (Canceled due to Covid).

M. Czekanski, A. Lyford (2020). Making Money on Scratch Tickets—The Impact of Prize Structures. Joint Math Meetings 2020. Denver, Colorado. January 2020.

A. Lyford, M. Czekanski (2019) Teaching introduction to data science as a creative writing class. United States Conference on Teaching Statistics (USCOTS). State College, Pennsylvania. May 2019.

Software

R

Michael Czekanski, Alex Lyford, Tom Rahr and Tina Chen (2020). CamelUp (CRAN) CamelUp Board Game as a Teaching Aid for Introductory Statistics. R package version 2.0.0.

Michael Czekanski and Alex Lyford (2020). mcStats (CRAN) Visualize Results of Statistical Hypothesis Tests. R package version 0.1.2.

Python

R. Teal Witter and Michael Czekanski (2019). QuantumQueryOptimizer (PyPI) A toolkit to find the optimal quantum query complexity and query optimal quantum algorithm of arbitrary Boolean functions. Python package version 0.1.3