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Stochastic Models in Phylogenetic Comparative Methods: Analytical Properties and Parameter Estimation

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Title: Stochastic Models in Phylogenetic Comparative Methods: Analytical Properties and Parameter Estimation
Authors: Bartoszek, Krzysztof
Issue Date: 16-Sep-2013
University: Göteborgs universitet. Naturvetenskapliga fakulteten
Institution: Department of Mathematical Sciences ; Institutionen för matematiska vetenskaper
Parts of work: Hansen T. F. & Bartoszek K. (2012). Interpreting the evolutionary regression: the interplay between observational and biological errors in phylogenetic comparative studies. Systematic Biology, 61(3):413-425.

Bartoszek K., Pienaar J., Mostad P., Andersson S. & Hansen T. F. (2012). A phylogenetic comparative method for studying multivariate adaptation. Journal of Theoretical Biology, 314:204-215.

Sagitov S. & Bartoszek K. (2012). Interspecies correlation for neutrally evolving traits. Journal of Theoretical Biology, 309:11-19.

Bartoszek K. & Sagitov S. Phylogenetic confidence intervals for the optimal trait value. (submitted)

Bartoszek K. Quantifying the effects of anagenetic and cladogenetic evolution. (submitted)

Bartoszek K., Jones G., Oxelman B. & Sagitov S. (2012). Time to a single hybridization event in a group of species with unknown ancestral history. Journal of Theoretical Biology, 322:1-6.

Date of Defence: 2013-10-18
Disputation: Fredagen den 18 oktober 2013, kl. 13.15, Hörsal Pascal, Mathematical Sciences, Chalmers Tvärgata 3
Degree: Doctor of Philosophy
Publication type: Doctoral thesis
Keywords: Adaptation
Birth-death process
Branching diffusion
Brownian motions
Conditioned branching process
General Linear Model
Measurement error
Multivariate phylogenetic comparative method
Ornstein-Uhlenbeck process
Phyletic gradualism
Phylogenetic inertia
Phylogenetic uncertainty
Punctuated equilibrium
Yule tree
Abstract: Phylogenetic comparative methods are well established tools for using inter-species variation to analyse phenotypic evolution and adaptation. They are generally hampered, however, by predominantly univariate approaches and failure to include uncertainty and measurement error in the phylogeny as well as the measured traits. This thesis addresses all these three issues. First, by investigating the effects of correlated measurement errors on a phylogenetic regression. Second, by developing a mult... more
ISBN: 978-91-628-8746-9
Appears in Collections:Doctoral Theses from University of Gothenburg / Doktorsavhandlingar från Göteborgs universitet
Doctoral Theses / Doktorsavhandlingar Institutionen för matematiska vetenskaper



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