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which models a Gaussian distribution from the square distance.
For all models a Gaussian error distribution was assumed.
The NFAT action spectrum was derived by a process of mathematical induction exploring three candidate models; a Gaussian function, a single exponential function of wavelength, and a function representing the sum of 2 exponentials.
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In this model, a Gaussian probability distribution η (μ, σ 2 ) is established for each pixel.
All region descriptors in the training set are modeled with a Gaussian mixture model (GMM).
Under a linear model, a Gaussian distribution of states at time t n -1 propagates to a Gaussian distribution at t n.
In the SVM model, a Gaussian radial basis function was selected as the kernel function with an error penalty factor (C = 1) and a scaling factor (σ = 0.01).
In this model, a Gaussian distribution also describes the root-mean-square distance between donor and acceptor fluorophores separated by ≥80 amino acids.
The difference between the logit and probit models is the assumed distribution of the underlying response; the logit model assumes a logistic and the probit model a Gaussian density for the underlying variable.
For a given model, a Gaussian mixture approach was applied to jointly perform a quantitative clustering of the projected QTLs and estimate meta-QTL positions and confidence intervals by maximizing the likelihood of the initial QTL positions.
Indeed, a parametric model, e.g., a Gaussian model, is constructed in the local window centered around each pixel (x,y).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com