My statistical research concerns advances in Bayesian computation, especially methodological improvements to Markov chain Monte Carlo. I study methods that assess the convergence of MCMC, methods that estimate the rate of this convergence, and methods that improve the rate of this convergence. I am also interested in applied projects from any discipline. In the past I have worked on applications of statistics/probability to biodefense, education, transportation, law, genetics, sports, and medicine. I am currently involved in projects from the areas of radiation detection and naval engineering. I like to work on several projects at once, because I have found that solutions to statistical problems from one subject area often translate very nicely to other subject areas. If you have ideas for collaboration, please contact me!
VanDerwerken, D. and Kenter, F. "A Generative Markov Model for Bowling Scores." Submitted 2017.
VanDerwerken, D. "When exactly is a random variable realized?" Submitted 2017.
VanDerwerken, D. and Judge, C. "Statistical analysis of vertical accelerations of planing craft: Common pitfalls and how to avoid them." Ocean Engineering. Accepted 2017.
VanDerwerken, D. and Schmidler, S. "Monitoring Joint Convergence of MCMC Samplers." Journal of Computational and Graphical Statististics. Accepted 2017.
VanDerwerken, D. "Not Every Gibbs Sampler is a Special Case of Metropolis-Hastings." Communications in Statistics – Theory and Methods. Accepted 2016.
VanDerwerken, D., Rothert, J., and Nguelifack, B. "Does the threat of suspension curb dangerous behavior in soccer? A case study from the Premier League." Journal of Sports Economics. Accepted 2016.
VanDerwerken, D. "Bayesian Assessment of Genetic Risk in Families with a Balanced Translocation." Journal of Genetic Counseling, 2015, 24, 541-547.
Bowles, R., Karikari I., VanDerwerken, D., Sinclair, M., Bell, R., Riebe, K. Huebner, J.,Kraus, V., Sempowski, G., and Setton, L. "In vivo luminescent imaging of NF-κB activity and NF-κB-related serum cytokine levels predict pain sensitivities in a rodent model of peripheral neuropathy." European Journal of Pain, 2015.
Whiting, E., Feinauer, E., and VanDerwerken, D. "Taking a closer look at Latino parents at one Spanish-English two-way immersion charter school." Journal of Multilingual and Multicultural Development, 2012, 33, 497-510.
Li D., Truong, T., Bills, T., Holt, B., VanDerwerken, D., Williams, J.R., Acharya, A., Robison, R., Tolley, H.D., and Lee, M. "GC/MS Method for Positive Detection of Bacillus anthracis Endospores." Analtyical Chemistry, 2012, 84, 1637-1644.
Truong, T., Nackos, A., Williams, J.R., VanDerwerken, D., Kimball, J., Murray, J., Hawkes, J., Harvey, D., Tolley, H.D., Robison, R., Bartholomew, C., and Lee, M. "Differentiation of Bacillus endospore species from fatty acid methyl ester biomarkers." Analytical Methods, 2010, 2, 638-644.
VanDerwerken, D., Rothert, J., and Nguelifack, B. "Does the threat of suspension curb dangerous behavior in soccer? A case study from the Premier League." VoxEU.org, published 09 February 2017.
VanDerwerken, D. and Schmidler, S. "Parallel Markov Chain Monte Carlo." arXiv:1312.7479v1, 2013.
VanDerwerken, D. “What Petri dishes have to do with your research.” Significance, 2012, 3, 40-42.
VanDerwerken, D. “The next President: Will your vote decide it?” Significance, 2012, issue 5, 23-26.
VanDerwerken, D. “Proactive versus Reactive Truing: A Simulation Study on Locomotive Wheel Maintenance Practice,” GE Global Research Internal Report (Class 2), August 2012.
VanDerwerken, D. “Bootstrapped Confidence Bounds for the Cumulative Intensity Function of the Power Law Process with Time-Censored Data,” GE Global Research Internal Report (Class 2), August 2012.
VanDerwerken, D. “Assessing Dependencies Among Locomotive Subsystems,” GE Global Research Internal Report (Class 3), August 2011.