@article{ksepka_ware_lamm_2014, title={Flying rocks and flying clocks: Disparity in fossil and molecular dates for birds}, volume={281}, number={1788}, journal={Proceedings of the Royal Society of London. Series B}, author={Ksepka, D. T. and Ware, J. L. and Lamm, K. S.}, year={2014} }
 @article{ksepka_benton_carrano_gandolfo_head_hermsen_joyce_lamm_patane_phillips_et al._2011, title={Synthesizing and databasing fossil calibrations: divergence dating and beyond}, volume={7}, number={6}, journal={Biology Letters}, author={Ksepka, D. T. and Benton, M. J. and Carrano, M. T. and Gandolfo, M. A. and Head, J. J. and Hermsen, E. J. and Joyce, W. G. and Lamm, K. S. and Patane, J. S. L. and Phillips, M. J. and et al.}, year={2011}, pages={801–803} }
 @article{lamm_redelings_2009, title={Reconstructing ancestral ranges in historical biogeography: properties and prospects}, volume={47}, ISSN={["1759-6831"]}, DOI={10.1111/j.1759-6831.2009.00042.x}, abstractNote={Abstract  Recent years have witnessed a proliferation of quantitative methods for biogeographic inference. In particular, novel parametric approaches represent exciting new opportunities for the study of range evolution. Here, we review a selection of current methods for biogeographic analysis and discuss their respective properties. These methods include generalized parsimony approaches, weighted ancestral area analysis, dispersal–vicariance analysis, the dispersal–extinction–cladogenesis model and other maximum likelihood approaches, and Bayesian stochastic mapping of ancestral ranges, including a novel approach to inferring range evolution in the context of island biogeography. Some of these methods were developed specifically for problems of ancestral range reconstruction, whereas others were designed for more general problems of character state reconstruction and subsequently applied to the study of ancestral ranges. Methods for reconstructing ancestral history on a phylogenetic tree differ not only in the types of ancestral range states that are allowed, but also in the various historical events that may change the ancestral ranges. We explore how the form of allowed ancestral ranges and allowed transitions can both affect the outcome of ancestral range estimation. Finally, we mention some promising avenues for future work in the development of model‐based approaches to biogeographic analysis.}, number={5}, journal={JOURNAL OF SYSTEMATICS AND EVOLUTION}, author={Lamm, Kristin S. and Redelings, Benjamin D.}, year={2009}, month={Sep}, pages={369–382} }