Cargando…
A time-varying biased random walk approach to human growth
Growth and development are dominated by gene-environment interactions. Many approaches have been proposed to model growth, but most are either descriptive or describe population level phenomena. We present a random walk-based growth model capable of predicting individual height, in which the growth...
Autores principales: | Suki, Béla, Frey, Urs |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552693/ https://www.ncbi.nlm.nih.gov/pubmed/28798412 http://dx.doi.org/10.1038/s41598-017-07725-4 |
Ejemplares similares
-
Random walk with chaotically driven bias
por: Kim, Song-Ju, et al.
Publicado: (2016) -
Bias of time‐varying exposure effects due to time‐varying covariate measurement strategies
por: Penning de Vries, Bas B. L., et al.
Publicado: (2021) -
Estimating Mean First Passage Time of Biased Random Walks with Short Relaxation Time on Complex Networks
por: Lee, Zhuo Qi, et al.
Publicado: (2014) -
Visual detection of time-varying signals: Opposing biases and their timescales
por: Gordon, Urit, et al.
Publicado: (2019) -
Escape regimes of biased random walks on Galton–Watson trees
por: Bowditch, Adam
Publicado: (2017)