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Andrew Poppick
Assistant Professor of Statistics

Department of Mathematics and Statistics
Carleton College
One North College Street
Northfield, MN 55057

Office: CMC 225
Phone: (507) 222-7791
E-mail: apoppick <at> carleton <dot> edu

My research is in statistical applications to climate, with an emphasis on characterizing temporal dependence and nonstationarity in climate processes. I also have broad interests in modeling spatial-temporal data and in spectral analysis of stationary and locally stationary processes.

I received my PhD in the Department of Statistics at the University of Chicago in June 2016, advised by Michael Stein and co-advised by Elisabeth Moyer.

Submitted or Published Manuscripts
    McKinnon, K. A., Poppick, A., Dunn-Sigouin, E., & Deser, C. (2017). An 'Observational Large Ensemble' to compare observed and modeled temperature trend uncertainty due to internal variability. Journal of Climate, 30(19): 7585-7598. journal

    Poppick, A., Moyer, E. J., & Stein, M. L. (2017). Estimating trends in the global mean temperature record. Advances in Statistical Climatology, Meteorology and Oceanography, 3(1): 33-53. journal

    Klavans, J., Poppick A., Sun, S., & Moyer, E. J. (2016). The influence of model resolution on temperature variability. Climate Dynamics, 48(8): 3035-3045. journal

    Poppick, A., McInerney, D. J., Moyer, E. J., & Stein, M. L. (2016). Temperatures in transient climates: improved methods for simulations with evolving temporal covariances. Annals of Applied Statistics, 10(1): 477-505. journal

    Poppick, A. & Stein, M. L. (2014). Using covariates to model dependence in nonstationary, high-frequency meteorological processes. Environmetrics, 25(5): 293-305. journal

Curriculum Vitae