Princeton Series in Theoretical and Computational Biology8
Simon A. Levin, Series Editor
The Princeton Series in Theoretical and Computational Biology builds upon the existing strengths and reputation of Princeton University Press within its biology, mathematics, and computer science publishing programs. Books in this series span theoretical biology, computational biology, mathematics, and computer science as applied to problems and questions in biology.
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A powerful new approach to interpreting population-genetic data in evolution and ecology
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A pioneer in evolutionary game theory looks at selfishness and cooperation
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This textbook provides an authoritative introduction to both classical and coalescent approaches to population genetics. Written for graduate students and advanced undergraduates by one of the world's leading authorities in the field...
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Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in...
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The 1918-19 influenza epidemic killed more than fifty million people worldwide. The SARS epidemic of 2002-3, by comparison, killed fewer than a thousand. The success in containing the spread of SARS was due largely to the rapid global...
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Quantitative approaches to evolutionary biology traditionally consider evolutionary change in isolation from an important pressure in natural selection: the demography of coevolving populations. In Analysis of Evolutionary Processes...
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Individual-based models are an exciting and widely used new tool for ecology. These computational models allow scientists to explore the mechanisms through which population and ecosystem ecology arises from how individuals interact with...
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The formulation, analysis, and re-evaluation of mathematical models in population biology has become a valuable source of insight to mathematicians and biologists alike. This book presents an overview and selected sample of these...