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Data from: A comprehensive analysis of autocorrelation and bias in home range estimation
负责人:
Noonan, Michael J.
关键词:
GPS
DOI:
doi:10.5061/dryad.v5051j2
摘要:
array of home range estimators, including Kernel Density Estimation (KDE) with four bandwidth optimizers (Gaussian reference function, au
Data from: A synthesis of empirical plant dispersal kernels
负责人:
Bullock, James
关键词:
Gaussian dispersal distance dispersal syndrome dispersal location kernel exponential exponential power log-sech plant height probability density function seed mass
DOI:
doi:10.5061/dryad.mq2ff
摘要:
law performed moderately well. Of the single-parameter functions, the Gaussian performed very poorly, while the exponential performed better. No function was amo
Data from: A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula
负责人:
关键词:
face;EEG;EEG;multivariate;planar gradient;mutual information;meg;n170;meg;statistics;neuroimaging
DOI:
doi:10.5061/dryad.8b146
摘要:
technique that combines the statistical theory of copulas with the closed form solution for the entropy of Gaussian variables. This results in a gene
Data from: Diffusion tensor imaging reveals diffuse white matter injuries in locked-in syndrome patients
负责人:
关键词:
DOI:
doi:10.5061/dryad.6j2c875
摘要:
, with diffuse white matter alterations in both infratentorial and supratentorial areas. A mixture model of two multidimensional Gaussian distributions was fitted
Data from: Multivariate species boundaries and conservation of harlequin poison frogs
负责人:
关键词:
phenotypic diversity;Gaussian clustering;Oophaga histrionica;Oophaga;genomics;Oophaga lehmanni;species delimitation
DOI:
doi:10.5061/dryad.53k260v
摘要:
lineages because they reflect the common signal of different secondary defining properties (environmental and genetic distinctiveness, phenotypic dia
Data from: Disentangling the effects of geographic and ecological isolation on genetic differentiation
负责人:
关键词:
Isolation by ecology;spatial genetics;isolation by distance;Zea mays;Landscape Genetics;Homo Sapiens;isolation by environment;partial Mantel test
DOI:
doi:10.5061/dryad.24kp5
摘要:
lly correlated Gaussian processes, in which the covariance structure is a decreasing function of both geographic and ecological distance. Parameters of the model
Data from: Online spatial normalization for real-time fMRI
负责人:
关键词:
fMRI;finger tapping
DOI:
doi:10.5061/dryad.1642b
摘要:
) procedure based on principal axes registration (PA) and Gauss-Newton optimization (GN) using the self-adaptive ? parameter, termed PA-GN(?) AFR and nonlinear
Data from: How little data is enough? Phase-diagram analysis of sparsity-regularized X-ray computed tomography
负责人:
关键词:
computed tomography;compressed sensing;sampling;sparsity regularization;image reconstruction
DOI:
doi:10.5061/dryad.3jg57
摘要:
ely taking measurements with Gaussian sensing matrices. Second, we show that, in contrast to what might have been anticipated, taking randomized CT
Data from: A powerful test of independent assortment that determines genome-wide significance quickly and accurately
负责人:
关键词:
multipoint linkage analysis;statistical genetics;extreme value theory;p-values;statistics
DOI:
doi:10.5061/dryad.7tb57
摘要:
statistics as a collection of stationary Gaussian processes. With this simple model, the parametric bootstrap yields an accurate and rapid assess

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