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Data from: Motion analysis of non-model organisms using a hierarchical model: influence of setup enclosure dimensions on gait parameters of Swinhoe
负责人:
关键词:
generalized linear model;Bayesian statistics;PyMC3;None;Motion analysis;Tamiops swinhoei;Python
摘要:
, yet the inherent hierarchy of the individual and population level is usually not accounted for. Despite the increasing availability of hierarchical model fra
Data from: Quantifying and reducing uncertainties in estimated soil CO2 fluxes with hierarchical data-model integration
负责人:
关键词:
diffusion model;soil carbon;soil respiration;2007-2011;global change experiments;soil CO2 flux
摘要:
linear (steady state) and non-linear (non-steady state, diffusion based) models of C versus t, within in a hierarchical Bayesian framework. Data are from
Data from: A simple behavioral model predicts the emergence of complex animal hierarchies
负责人:
Takao Sasaki
关键词:
Behavior: dominance Behavior: social Ecology: behavioral Modeling: individual based ants
摘要:
insects. Combining empirical observations with a modeling approach, we show that all three hierarchy structures-linear, despotic, and shared-can emerge from different
Data from: Quantifying demographic uncertainty: Bayesian methods for integral projection models (IPMs)
负责人:
关键词:
Opuntia imbricata Hawarth D.C.;Demography;hierarchical Bayes;process error;model selection;parameter estimation;Markov chain Monte Carlo;stochasticity;uncertainty;population dynamics
摘要:
backbone of an IPM. These models are typically fit using a frequentist approach. We suggest that hierarchical Bayesian statistical approaches offer importa
Data from: Scale-dependent genetic structure of the Idaho giant salamander (Dicamptodon aterrimus) in stream networks
负责人:
关键词:
scale dependence;stream networks;Genetic structure;Dispersal;Dicamptodon aterrimus;Amphibians;Population Genetics - Empirical
摘要:
d microsatellite data to test population structure models by (1) examining hierarchical partitioning of genetic variation in stream networks and (2) testing for genetic
Data from: Bridging inter- and intraspecific trait evolution with a hierarchical Bayesian approach
负责人:
关键词:
intraspecific variance;comparative phylogenetics;Macroevolution;Markov chain Monte Carlo;JIVE;hierarchical Bayesian model;niche breadth
摘要:
tes of trait evolution by accounting for both trait mean and variance. Here, we present a model of phenotypic trait evolution using a hierarchical Bayesian approach tha
Data from: Joint modelling of multi-scale animal movement data using hierarchical hidden Markov models
负责人:
Lowe, Christopher G.; Meese, Emily N.
关键词:
摘要:
;3. We propose hierarchical hidden Markov models as a versatile statistical framework that naturally accounts for differing temporal resolutions across multiple
Data from: A test of the hierarchical model of litter decomposition
负责人:
关键词:
Carbon cycling;scaling theory;soil biogeochemical models;Ecosystem processes;microbial biomass;ecological fallacy;Experimental design;variability;pattern and scale
摘要:
the hierarchical model, decomposer (microbial) biomass strongly regulates decomposition at regional scales. Further, the size of the microbial biomass dic
Data from: A novel biomechanical approach for animal behaviour recognition using accelerometers
负责人:
Chakravarty, Pritish
关键词:
摘要:
hierarchical classification scheme employs simple machine learning algorithms at each node to find feature‐value thresholds separating different behaviours. Using triaxial

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