Modeling complex phenotypes: Generalized linear models using spectrogram predictors of animal communication signals

Biometrics

Volumn 66, Issue 3, 2010, Pages 914-924

  Holan, Scott H ^a   Wikle, Christopher K ^a   Sullivan Beckers, Laura E ^b   Cocroft, Reginald B ^a  

^a UNIVERSITY OF MISSOURI   (United States)

^b UNIVERSITY OF NEBRASKA   (United States)

Author keywords

Acoustic; Bayesian model averaging; Classification; Empirical orthogonal functions; Functional data; Mating calls; Nonstationary; Stochastic search variable selection

Indexed keywords

BAYESIAN NETWORKS; ORTHOGONAL FUNCTIONS; SPECTROGRAPHS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

BAYESIAN MODEL AVERAGING; EMPIRICAL ORTHOGONAL FUNCTION; FUNCTIONAL DATAS; MATING CALL; MATINGS; NONSTATIONARY; SPECTROGRAMS; STOCHASTIC SEARCH; STOCHASTIC SEARCH VARIABLE SELECTION; VARIABLES SELECTIONS;

BIOCOMMUNICATIONS;

ANIMAL; BAYESIAN ANALYSIS; COMMUNICATION BEHAVIOR; EMPIRICAL ANALYSIS; FITNESS; IDENTIFICATION KEY; LINEARITY; NATURAL SELECTION; NUMERICAL MODEL; ONE-DIMENSIONAL MODELING; PHENOTYPE; POPULATION STRUCTURE; REPRODUCTIVE SUCCESS; SEXUAL SELECTION; SIGNAL; STATISTICAL ANALYSIS; STOCHASTICITY; TAXONOMY; UNCERTAINTY ANALYSIS;

ANIMALIA;

EID: 77956802000     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01331.x     Document Type: Article

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