Collocation Techniques for Structured Populations Modeled by Delay Equations

2020 ◽  
pp. 43-62 ◽  
Author(s):  
Alessia Andò ◽  
Dimitri Breda
Keyword(s):  
Delay Equations ◽  
Structured Populations

scholarly journals Numerical continuation and delay equations: A novel approach for complex models of structured populations

2020 ◽  
Vol 13 (9) ◽  
pp. 2619-2640 ◽  
Author(s):  
Alessia Andò ◽  
◽  
Dimitri Breda ◽  
Francesca Scarabel ◽  
◽  
...  
Keyword(s):  
Delay Equations ◽  
Structured Populations ◽  
Numerical Continuation ◽  
Novel Approach ◽  
Complex Models

scholarly journals Twin semigroups and delay equations

2021 ◽  
Vol 286 ◽  
pp. 332-410
Author(s):  
O. Diekmann ◽  
S.M. Verduyn Lunel
Keyword(s):  
Delay Equations

scholarly journals Frequency responses of age-structured populations: Pacific salmon as an example

2010 ◽  
Vol 78 (4) ◽  
pp. 239-249 ◽  
Author(s):  
Lee Worden ◽  
Louis W. Botsford ◽  
Alan Hastings ◽  
Matthew D. Holland
Keyword(s):  
Pacific Salmon ◽  
Structured Populations ◽  
Frequency Responses ◽  
Age Structured

scholarly journals Hierarchical Analysis of Nucleotide Diversity in Geographically Structured Populations

Genetics ◽  
1996 ◽  
Vol 142 (2) ◽  
pp. 629-639 ◽  
Author(s):  
Kent E Holsinger ◽  
Roberta J Mason-Gamer
Keyword(s):  
Nucleotide Diversity ◽  
Restriction Site ◽  
Rooted Tree ◽  
Structured Populations ◽  
Hierarchical Analysis ◽  
Restriction Site Variation ◽  
Hierarchical Levels ◽  
Site Variation ◽  
The Mean ◽  
Mean Time

Abstract Existing methods for analyzing nucleotide diversity require investigators to identify relevant hierarchical levels before beginning the analysis. We describe a method that partitions diversity into hierarchical components while allowing any structure present in the data to emerge naturally. We present an unbiased version of Nei's nucleotide diversity statistics and show that our modification has the same properties as Wright's  F  ST. We compare its statistical properties with several other F  ST estimators, and we describe how to use these statistics to produce a rooted tree of relationships among the sampled populations in which the mean time to coalescence of haplotypes drawn from populations belonging to the same node is smaller than the mean time to coalescence of haplotypes drawn from populations belonging to different nodes. We illustrate the method by applying it to data from a recent survey of restriction site variation in the chloroplast genome of Coreopsis grandiflora.

Sign in / Sign up

Export Citation Format

Share Document