NEW COURSE Fall Semester, 2000
Statistics 260: Evolution and Statistics
Instructor: David Steinsaltz
Office: 347 Evans
email: dstein@stat.berkeley.edu
Course Outline
The Darwinian theory of evolution has attracted enormous interest in recent
years, with applications, or supposed applications, to almost every field
of human interest, from philosophy through psychology to computer programming
to economics (not intended to assert a linear ordering). This theory, like
statistical mechanics and quantum mechanics, is inherently stochastic,
and the attempts to make hard science out of it almost invariably require
probabilistic and statistical models. These models are often mathematically
complicated, and are perhaps equally often absurd. The aim of this course
will be to strike one small path through the ever more tangled thicket
of evolutionary theory. Significant attention will be paid to sorting out
the often head-spinning twists of logic which underly many of the more
extravagant claims in the field. To this end, there will be, an admixture
of philosophical readings to the course diet of mathematical and biological
topics. We will also devote some attention to the reverse question: Not
just, what mathematics and statistics can tell us about evolution, but
what an evolutionary approach can tell us about the foundations of statistics.
Main topics:
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Random walks and genetic drift.
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Random games and the evolution of communication and cooperation.
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Branching processes.
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Random dynamical systems and selection.
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Statistical arguments in evolutionary psychology.
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Evolutionary approaches to demography and life-history theory.
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Evolutionary epistemology and the foundations of statistics.
Prerequisites: This course is concerned primarily with mathematical
methods, which will require some prior mathematical training. Knowledge
of basic concepts of probability and statistics, on the level of Statistics
20 and 134, will be assumed. A mathematical background including linear
algebra and multivariable calculus would also be extremely helpful. Some
familiarity with biological principles, in particular genetics, will also
be required. Those interested in the course who are quite strong in one
of these areas (or in another related discipline, such as anthropology
or philosophy), but weak in mathematics should come speak with the instructor.
Texts
Required: Most readings will be articles, which will be made available
in a reader at some copy shop.
Recommended: Conceptual Issues in Evolutionary Biology by Elliott Sober,
MIT Press
Course Time: The course time will be changed at the first
meeting (Monday, Aug. 28). Those interested in the course who cannot come
then should contact the instructor.