David Spade
- Associate Professor, Mathematical Sciences
- Associate Chair, Mathematical Sciences
Education
Ph.D. Statistics, 2013, The Ohio State University, Columbus, OH, USA
M.S. Statistics, 2010, The Ohio State University, Columbus, OH, USA
B.S. Mathematics, 2006, West Liberty State College, West Liberty, WV, USA
Office Hours
MW 9:00 AM-10:00 AM MTHSTAT 871
TR 10:00 AM-11:00 AM MTHSTAT 563/563G/763
Teaching Schedule
| Course Num | Title |
|---|---|
| MTHSTAT 563-001 | Regression Analysis |
| MTHSTAT 563G-001 | Regression Analysis |
| MTHSTAT 763-001 | Regression Analysis |
| MTHSTAT 871-001 | Mathematical Statistics I |
Courses Taught
MATH 231 Calculus and Analytic Geometry I
MATH 233 Calculus and Analytic Geometry III
MTHSTAT 215 Elementary Statistical Analysis
MTHSTAT 361/362 Introduction to Mathematical Statistics I and II
MTHSTAT 563/563G/763 Regression Analysis
MTHSTAT 564/564G/764 Time Series Analysis
MTHSTAT 871/872 Mathematical Statistics I and II
PH 711 Intermediate Biostatistics
PH 722 Introduction to Bayesian Statistical Analysis
Teaching Interests
Prof. Spade enjoys teaching an array of courses, but particularly enjoys teaching courses in statistical theory, linear regression, and biostatistics.
Research Interests
Prof. Spade has several research interests. Among them are Statistical Ecology, Bioinformatics, Markov chain Monte Carlo methods, and statistical phylogenetics.
Selected Publications
Journal of Plankton Research, 47(2):fbae026.
2) Spade, D.A., Aliyu, I., van Horen, J., and Strickler, J.R., (2024) “A Class of Statistical
Models for Daphnia Motion over Small Time Scales.” Mathematical Biosciences,
367:109114.
3) Spade, D.A., (2022) “Approximate Bounding of Mixing Time for Multiple-Step Gibbs
Samplers.” Monte Carlo Methods and Applications, 28(3):221–233.
4) Spade, D.A., (2021) “Approximate Verification of Geometric Ergodicity for Multiple-
Step Metropolis Transition Kernels.” Hacetteppe Journal of Mathematics and Statistics,
51(1):239–252.
5) Spade, D.A., (2021) ”Estimating Drift and Minorization Coefficients for Gibbs
Sampling Algorithms.” Monte Carlo Methods and Applications, 27(3):195–209.
6) Spade, D.A., (2021) “A Monte Carlo Integration Approach to Estimating Drift and
Minorization Coefficients for Metropolis-Hastings Samplers.” Brazilian Journal of
Probability and Statistics, 35(3):466–483.
7) Spade, D.A., (2020) “Geometric Ergodicity of a Metropolis-Hastings Algorithm for
Bayesian Inference of Phylogenetic Branch Lengths.” Computational Statistics. DOI:
https://doi.org/10.1007/s00180-020-00969-1.