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Data from: Using hidden Markov models to improve quantifying physical activity in accelerometer data – a simulation study
负责人:
关键词:
identification;Bout detection;Signal processing;physical activity patterns;time series;pattern recognition
DOI:
doi:10.5061/dryad.tq0gt
摘要:
on the Poisson distribution (HMM[Pois]), the generalized Poisson distribution (HMM[GenPois]) and the Gaussian distribution (HMM[Gauss]) with regard to misclassi
Data from: Surrogate modelling for the prediction of spatial fields based on simultaneous dimensionality reduction of high-dimensional input/output
负责人:
关键词:
simultaneous dimensionality reduction;Gaussian process regression;spatial field emulation;stochastic PDE
DOI:
doi:10.5061/dryad.3g280
摘要:
e spatial fields leading also to high-dimensional output spaces. Although Gaussian process emulation has been satisfactorily used for computing faithful
Data from: Why we do not expect dispersal probability density functions based on a single mechanism to fit real seed shadows
负责人:
关键词:
stable distributions;pdf;Dispersal;kernel;seed shadow;WALD;mechanisms
DOI:
doi:10.5061/dryad.70pt4
摘要:
for wind dispersal from a point source needs to be re-examined. This is on the basis that an inverse Gaussian probability density function (pdf) does not provide
Data from: Comparison of non-Gaussian quantitative genetic models for migration and stabilizing selection
负责人:
关键词:
gene flow;quantitative genetic;admixture;multilocus;migration load;migration-selection balance;infinitesimal model;Models\/Simulations;non-Gaussian;linkage disequilibrium
DOI:
doi:10.5061/dryad.s808f
摘要:
tion of the population mean from the optimum are highly similar across the different models, so that the non-Gaussian infinitesimal model forms a good approximation. It doe
Data from: Bayesian hierarchical models for spatially misaligned data in R
负责人:
关键词:
DOI:
doi:10.5061/dryad.3g9s2
摘要:
e some or all of the outcomes are not observed. Models and associated software are presented for both Gaussian and non-Gaussian outcomes. Model parameter
Data from: Multi-scale resistant kernel surfaces derived from inferred gene flow: An application with vernal pool breeding salamanders
负责人:
关键词:
circuit theory;Ambystoma opacum;Ambystoma maculatum;Landscape Genetics;Resistance surface
DOI:
doi:10.5061/dryad.358c50t
摘要:
r original spatial scale. A resistance surface with forest land cover at a 500m Gaussian kernel bandwith, and normalized vegetation index at a 100m
Data from: Phylogenetic analysis using Lévy processes: finding jumps in the evolution of continuous traits
负责人:
关键词:
Primates;continuous trait evolution;saltational evolution;Bayesian inference;Lévy processes
DOI:
doi:10.5061/dryad.0n761
摘要:
Gaussian processes, a class of stochastic processes including Brownian motion and the Ornstein–Uhlenbeck process, are widely used to model continuous
Data from: Auditory functional magnetic resonance imaging in dogs – normalization and group analysis and the processing of pitch in the canine
负责人:
关键词:
fMRI functional magnetic resonance imaging MRI magnetic resonance imaging diagnostic imaging dogs canine auditory system neuroimaging neuroanatomy
DOI:
doi:10.5061/dryad.251h1
摘要:
d in the experiment was composed of simple Gaussian noise and regular interval sounds (RIS), which included a periodicity pitch as an additional sound feature. The res
Data from: Species Selection Regime and Phylogenetic Tree Shape
负责人:
关键词:
Cape flora;enviromental change;gamma statistic;species selection;tree imbalance;time-stratified QuaSSE model;trait-dependent diversification;diversification landscape
DOI:
doi:10.5061/dryad.1sf007b
摘要:
as a static or temporally-shifting Gaussian or skewed-Gaussian function of the diversification trait. We then use simulations to show that the gene

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