A quantitative genetic model for growth, shape, reaction norms, and other infinite-dimensional characters

DOI10.1007/BF00290638zbMath0715.92015WikidataQ52425889 ScholiaQ52425889MaRDI QIDQ752050

Mark Kirkpatrick, Nancy E. Heckman

Publication date: 1989

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

zbMATH Keywords

Gaussian processesfunction spacesgrowth trajectoriesindividual phenotypesInfinite-dimensional charactersmorphological shapesnorms of reactionpatterns of variance and covariancepopulation mean phenotypepopulation meansquantitative-genetic modelrecursion equation

Mathematics Subject Classification ID

Problems related to evolution (92D15) Special processes (60K99) Genetics and epigenetics (92D10)

Related Items (21)

Probability-enhanced effective dimension reduction for classifying sparse functional data ⋮ Functional Mapping of Quantitative Trait Loci Underlying Growth Trajectories Using a Transform-Both-Sides Logistic Model ⋮ Warped functional analysis of variance ⋮ A stickiness coefficient for longitudinal data ⋮ Dynamic relations for sparsely sampled Gaussian processes ⋮ Empirical dynamics for longitudinal data ⋮ The adaptive dynamics of function-valued traits ⋮ A test of significance in functional quadratic regression ⋮ Nonparametric multivariate \(L_{1}\)-median regression estimation with functional covariates ⋮ The evolution of function-valued traits for conditional cooperation ⋮ Visualizing genetic constraints ⋮ Optimizing selection for function-valued traits ⋮ Conditional Functional Principal Components Analysis ⋮ Hamilton's rule, gradual evolution, and the optimal (feedback) control of phenotypically plastic traits ⋮ Generalized Character Process Models: Estimating the Genetic Basis of Traits That Cannot Be Observed and That Change with Age or Environmental Conditions ⋮ Functional Modelling and Classification of Longitudinal Data* ⋮ Modelling Sparse Generalized Longitudinal Observations with Latent Gaussian Processes ⋮ Properties of design-based functional principal components analysis ⋮ Functional random effects modeling of brain shape and connectivity ⋮ Evolution of age-dependent sex-reversal under adaptive dynamics ⋮ An algorithm for molecular dissection of tumor progression

Cites Work

• An Approach to Time Series Analysis
• A stochastic model concerning the maintenance of genetic variability in quantitative characters.
• Linear Statistical Inference and its Applications
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: A quantitative genetic model for growth, shape, reaction norms, and other infinite-dimensional characters