User:Carl Boettiger/Notebook/Stochastic Population Dynamics/2010/05/24
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Status on Structured Populations
Revisit Phil Holmes notes on free-response protocol / information theory and Neyman-Pearson theorem.
A couple good articles today, see Mendeley for details.
1. Goel AK, Vattam SS, Rugaber S, et al. Learning Functional and Causal Abstractions of Classroom Aquaria The SBF Theory of Understanding of Complex Systems ACT : Interactive Construction of SBF Models. In Review. 2010.
2. Crutchfield JP, Whalen S. Structural Drift : The Population Dynamics of Sequential Learning. In review. 2010:1-14.
3. Raghib M, Hill Na, Dieckmann U. A multiscale maximum entropy moment closure for locally regulated space-time point process models of population dynamics. Journal of mathematical biology. 2010. Available at: http://www.ncbi.nlm.nih.gov/pubmed/20446087.
4. Lindegren M, Möllmann C, Nielsen A, et al. Ecological forecasting under climate change: the case of Baltic cod. Proceedings. Biological sciences / The Royal Society. 2010. Available at: http://www.ncbi.nlm.nih.gov/pubmed/20236982.
5. Berkley Ha, Kendall BE, Mitarai S, Siegel Da. Turbulent dispersal promotes species coexistence. Ecology Letters. 2010;13(3):360-371. Available at: http://blackwell-synergy.com/doi/abs/10.1111/j.1461-0248.2009.01427.x.
Apparently R doesn't have a convenient generalized eigenvalue solver (for case of a matrix on either side). Wrote quick interface to the gsl lapack routines. Github's gists seem an ideal way to store and share such code snippets, so here it is embedded.