Papers read in 2017

  1. Baldridge, E., Harris, D. J., Xiao, X. & White, E. P. An extensive comparison of species-abundance distribution models. PeerJ 4, e2823 (2016) doi: 10.7717/peerj.2823.

  2. Thibault, K. M., White, E. P. & Ernest, S. K. M. Temporal Dynamics in the Structure and Composition of a Desert Rodent Community. Ecology 85, 2649–2655 (2004) doi: 10.1890/04-0321.

  3. Brown, B. L., Sokol, E. R., Skelton, J. & Tornwall, B. Making sense of metacommunities: dispelling the mythology of a metacommunity typology. Oecologia (2016). doi: 10.1007/s00442-016-3792-1

  4. Stroup, W. W. Rethinking the Analysis of Non-Normal Data in Plant and Soil Science. Agronomy Journal 107, 811–817 (2015) doi: 10.2134/agronj2013.0342

  5. Damgaard, C. & Weiner, J. It’s About Time: A Critique of Macroecological Inferences Concerning Plant Competition. Trends in Ecology and Evolution (2016) doi: 10.1016/j.tree.2016.12.001

  6. Walter, J. A., Sheppard, L. W., Anderson, T. L., Kastens, J. H., Bjørnstad, O. N., Liebhold, A. M., & Reuman, D. C. The geography of spatial synchrony. Ecology Letters, 20(7), 801–814 (2017). doi: 10.1111/ele.12782

  7. Dutilleul, P., Cumming, B. F., & Lontoc-Roy, M. Autocorrelogram and Periodogram Analyses of Palaeolimnological Temporal-Series from Lakes in Central and Western North America to Assess Shifts in Drought Conditions. In Tracking Environmental Change Using Lake Sediments (pp. 523–548). Springer, Dordrecht. (2012) doi: 10.1007/978-94-007-2745-8_16

  8. Smol, J. P., Birks, H. J. B., Lotter, A. F., & Juggins, S. The March Towards the Quantitative Analysis of Palaeolimnological Data. In Tracking Environmental Change Using Lake Sediments (pp. 3–17). Springer, Dordrecht. (2012) doi: 10.1007/978-94-007-2745-8_1

  9. Birks, H. J. B. Introduction and Overview of Part III. In Tracking Environmental Change Using Lake Sediments (pp. 331–353). Springer, Dordrecht. (2012) doi: 10.1007/978-94-007-2745-8_10

  10. Birks, H. J. B. Conclusions and Future Challenges. In Tracking Environmental Change Using Lake Sediments (pp. 643–673). Springer, Dordrecht. (2012) doi: 10.1007/978-94-007-2745-8_21

  11. Christensen, E., Harris, D., & Ernest, M. Repeated regime shifts in a desert rodent community. (2017) bioRxiv. doi: 10.1101/163931

  12. Bjørnstad, O. N. Nonlinearity and chaos in ecological dynamics revisited. Proceedings of the National Academy of Sciences of the United States of America, 112(20), 6252–6253 (2015). doi: 10.1073/pnas.1507708112

  13. Benincà, E., Huisman, J., Heerkloss, R., Jöhnk, K. D., Branco, P., Van Nes, E. H., … Ellner, S. P. (2008). Chaos in a long-term experiment with a plankton community. Nature, 451(7180), 822–825. doi: 10.1038/nature06512

  14. McCaffrey, D. F., Ellner, S., Gallant, A. R., & Nychka, D. W. Estimating the Lyapunov Exponent of a Chaotic System With Nonparametric Regression. Journal of the American Statistical Association, 87(419), 682–695 (1992). doi: 10.2307/2290206

  15. Nychka, D., Ellner, S., Gallant, A. R., & McCaffrey, D. Finding Chaos in Noisy Systems. Journal of the Royal Statistical Society. Series B, Statistical Methodology, 54(2), 39–426 (1992). Retrieved from

  16. Wegener, M. & Kauermann, G. Forecasting in nonlinear univariate time series using penalized splines. Statistical Papers 1–20 (2015). doi: 10.1007/s00362-015-0711-1

  17. Gelman, A. (2006) Multilevel (Hierarchical) Modeling: What It Can and Cannot Do. Technometrics 48, 432–435. doi: 10.1198/004017005000000661

  18. De Veaux, R. D. et al. (2017) Curriculum Guidelines for Undergraduate Programs in Data Science. Annu. Rev. Stat. Appl. 4, 15–30. doi: 10.1146/annurev-statistics-060116-053930

  19. Fasiolo, M., Goude, Y., Nedellec, R. & Wood, S. N. (2017) Fast calibrated additive quantile regression. arXiv [stat.ME] arxiv id: 1707.03307.