Educational & Professional Experience
Associate Professor, Department of Mathematics, Western Washington University, 2018-Present.
Assistant Professor, Department of Mathematics, Western Washington University, 2014-2018.
Postdoctoral Fellow/Visiting Assistant Professor, Department of Statistics, Colorado State University, 2013-2014.
Ph.D. (2013). University of California, Davis. See this link.
Time Series Analysis
Functional Data Analysis
I am recruiting both graduate and undergraduate research collaborators interested in various aspects of statistics. Please send me an e-mail.
Current Student Collaborators:
Ashley Hall (park visitation modeling using social media data)
Alex Kuhn (nonparametric multiple comparisons - theory)
Patrick Carroll (nonparametric multiple comparisons - simulation)
David Rice (high-frequency financial time series volatility modeling)
Sam Burnett (analysis of short return series - modeling)
Fiona Cleary (analysis of short return series - literature review and writing)
Former Student Collaborators (with at least six months of research):
Kevin Matheson (application of machine learning to star classification)
Russell Goebel (spatiotemporal modeling of social media data)
Grace McFarlane (longitudinal data analysis of diabetes patient records)
Austin Schmaltz (multiple comparisons of trajectory data and forecasting with social media)
Nick Odell (time series modeling of high-frequency stock data)
Beth Ann Brackett (spatiotemporal data visualization)
Riley Abel (nonparametric multiple comparisons)
Ryan Erps (robust hypothesis test for equality of variances)
Benjamin Hansen (modeling and forecasting of tropospheric ozone data)
Daniel Shelnut (multiple comparisons of growth curve data)
03/2020: David Rice won the Jarvis Memorial Summer Research Stipend - Summer 2020.
01/2020: Alex Kuhn and Patrick Carroll presented their poster "Effect Size Generalization of the General Parametric Model" at the 2020 Joint Mathematics Meetings in Denver, Colorado.
12/2019: Ashley Hall won the Western Washington University Washington Space Grant Academic Research Award for Future Science Teachers - Winter 2020.
11/2019: Ryan Erps became the first author of the Journal of Educational and Behavioral Statistics paper "A robust test for checking the homogeneity of variability measures and its application to the analysis of implicit attitudes".
07/2019: Ryan Erps became a contributor of the R package "intervcomp".
05/2019: Russell Goebel presented his poster "Modeling and Forecasting the Percent Changes in the National Park Visitation Counts Using Social Media Data" at the 2019 Symposium on Data Science and Statistics, Bellevue, Washington.
05/2019: Riley Abel became a co-author of the Behavior Research Methods paper "Nonparametric multiple comparisons".
03/2019: Carter Morfitt, Nick Harrison, Cory Leigh, and Durante Rodriguez won third place (tied) at the 2018 Fall USCLAP Competition (Introductory Statistics) for their paper titled "Predicting Park Visitation in the Twin Cities Metropolitan Area in Minnesota Using Geolocated Social Media Data".
07/2018: Kevin Matheson presented his poster "The Classification of Stellar Systems through Singular Spectrum Analysis" at the 2018 Joint Statistical Meetings, Vancouver, British Columbia, Canada.
03/2018: Nick Odell won the Undergraduate Research and Creative Activities Award - Winter 2018.
10/2017: Kevin Matheson presented his talk "Classification of Stellar Systems through Singular Spectrum Analysis" at the 2017 Northwestern Undergraduate Mathematics Symposium, Bellingham, Washington.
10/2017: Nick Odell presented his talk "Short-Term Volatility Curve Predictions Using Singular Spectrum Analysis" at the 2017 Northwestern Undergraduate Mathematics Symposium, Bellingham, Washington.
09/2017: Benjamin Hansen became the first author of the Environmetrics paper "Improved short-term point and interval forecasts of the daily maximum tropospheric ozone levels via singular spectrum analysis".
04/2017: Daniel Shelnut became a co-author of the PLoS ONE paper "Peripheral huntingtin silencing does not ameliorate central sign of disease in the B6.Htt Q111/+ mouse model of Huntington's disease".
01/2017: Riley Abel presented his talk "Nonparametric Multiple Comparisons Using Log Odds of the Relative Effects" at the 2017 Joint Mathematics Meetings in Atlanta, Georgia.
12/2015: Benjamin Hansen presented his poster "Forecasting Ambient O3 Concentration Using Singular Spectrum Analysis" at the 2015 American Geophysical Union Fall Meeting in San Francisco, California.
For a full list, please see the Google Scholar site.
Publications with Student Co-Authors (Indicated in Bold):
Erps, R.C. and Noguchi, K. (2019). A robust test for checking the homogeneity of variability measures and its application to the analysis of implicit attitudes. Journal of Educational and Behavioral Statistics, accepted.
Noguchi, K., Abel, R.S., Marmolejo-Ramos, F., and Konietschke, F. (2019). Nonparametric multiple comparisons. Behavior Research Methods, accepted.
Hansen, B. and Noguchi, K. (2017). Improved short-term point and interval forecasts of the daily maximum tropospheric ozone levels via singular spectrum analysis. Environmetrics 28; e2479.
Coffey, S.R.,Bragg, R.M., Minnig, S., Ament, S.A., Cantle, J.P., Glickenhaus, A., Shelnut, D., Carrillo, J.M., Shuttleworth, D.D., Rodier, J.-A., Noguchi, K., Bennett, C.F., Price, N.D., Kordasiewicz, H.B., Carroll, J.B. (2017). Peripheral huntingtin silencing does not ameliorate central sign of disease in the B6.Htt Q111/+ mouse model of Huntington's disease. PLoS ONE 12(4): e0175968.
Other Selected Publications:
Noguchi, K. and Marmolejo-Ramos, F. (2016). Assessing equality of means using the overlap of range-preserving confidence intervals. The American Statistician, 70(4), 325-334.
Noguchi, K., Aue, A., and Burman, P. (2016). Exploratory analysis and modeling of stock returns. Journal of Computational and Graphical Statistics, 25(2), 363-381.
Noguchi, K., Gel, Y.R., Brunner, E., and Konietschke, F. (2012). nparLD: An R software package for the nonparametric analysis of longitudinal data in factorial experiments. Journal of Statistical Software, 50(i12).