Phylogenetic effective sample size

被引:10
|
作者
Bartoszek, Krzysztof [1 ]
机构
[1] Uppsala Univ, Dept Math, S-75106 Uppsala, Sweden
关键词
Biodiversity; Effective sample size; Measurement error; Ornstein-Uhlenbeck process; Phylogenetic comparative methods; Quantitative trait evolution; INTERSPECIES CORRELATION; EVOLUTIONARY REGRESSION; BRANCH LENGTHS; DIVERSITY; MODELS; SPECIATION; ADAPTATION; SELECTION; PATTERN; FREEDOM;
D O I
10.1016/j.jtbi.2016.06.026
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper I address the question-how large is a phylogenetic sample? I propose a definition of a phylogenetic effective sample size for Brownian motion and Ornstein-Uhlenbeck processes-the regression effective sample size. I discuss how mutual information can be used to define an effective sample size in the non-normal process case and compare these two definitions to an already present concept of effective sample size (the mean effective sample size). Through a simulation study I find that the AIC(c) is robust if one corrects for the number of species or effective number of species. Lastly I discuss how the concept of the phylogenetic effective sample size can be useful for biodiversity quantification, identification of interesting clades and deciding on the importance of phylogenetic correlations. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:371 / 386
页数:16
相关论文
共 50 条
  • [31] Effective Sample Size with the Bivariate Gaussian Common Component Model
    Dal Canton, Leticia Ellen
    Guedes, Luciana Pagliosa Carvalho
    Uribe-Opazo, Miguel Angel
    Maltauro, Tamara Cantu
    STATS, 2023, 6 (04): : 1019 - 1036
  • [32] Effective sample size, dimensionality, and generalization in covariate shift adaptation
    Polo, Felipe Maia
    Vicente, Renato
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (25): : 18187 - 18199
  • [33] Effective sample size for importance sampling based on discrepancy measures
    Martino, Luca
    Elvira, Victor
    Louzada, Francisco
    SIGNAL PROCESSING, 2017, 131 : 386 - 401
  • [34] EFFECTIVE SAMPLE-SIZE FOR TESTS OF CENSORED SURVIVAL DATA
    BENEDETTI, J
    SEINFELD, J
    SATHER, H
    BIOMETRICS, 1978, 34 (04) : 726 - 726
  • [35] Quantification of prior impact in terms of effective current sample size
    Wiesenfarth, Manuel
    Calderazzo, Silvia
    BIOMETRICS, 2020, 76 (01) : 326 - 336
  • [36] Effective sample size, dimensionality, and generalization in covariate shift adaptation
    Felipe Maia Polo
    Renato Vicente
    Neural Computing and Applications, 2023, 35 : 18187 - 18199
  • [37] Calculating the SNP-effective sample size from an alignment
    Haubold, B
    Wiehe, T
    BIOINFORMATICS, 2002, 18 (01) : 36 - 38
  • [38] Flexible Effective Sample Size Based on the Message Importance Measure
    Li, Zhefan
    Fan, Pingyi
    Dong, Yunquan
    IEEE OPEN JOURNAL OF SIGNAL PROCESSING, 2020, 1 : 216 - 229
  • [39] Estimating effective population size using RADseq: Effects of SNP selection and sample size
    Marandel, Florianne
    Charrier, Gregory
    Lamy, Jean-Baptiste
    Le Cam, Sabrina
    Lorance, Pascal
    Trenkel, Verena M.
    ECOLOGY AND EVOLUTION, 2020, 10 (04): : 1929 - 1937
  • [40] A Nonparametric Approach for Estimating the Effective Sample Size in Gaussian Approximation of Expected Value of Sample Information
    Li, Linke
    Jalal, Hawre
    Heath, Anna
    MEDICAL DECISION MAKING, 2025,