R. (2016). Methods for scalar- on-function regression. International Statistical Review.Reiss, P. T., Goldsmith, J., Shang, H. L., and Ogden, R. T. (2017). Methods for scalar-on- function regression. International Statistical Review , 85(2), 228-249....
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We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some...
This article is a state-of-art review on static structural computations for pin-jointed structures, revising the last forty years of scientific research on the subject matter through the introduction of static modal analysis. This novel paradigm is inspired by the so-called singular value decompositi...
N. Bayesian evidence for the tensor-to-scalar ratio r and neutrino masses mν: effects of uniform vs logarithmic priors. Phys. Rev. D 103, 123511 (2021). ADS Google Scholar Alsing, J. & Handley, W. Nested sampling with any prior you like. Mon. Not. R. Astron. Soc. 505, L95–...
the kernel returns its inner product of the vector spaces. That’s all we need from the higher vector space. And for any number of dimensions whatsoever, the inner product returns a scalar. Kernels, therefore, helps you calculate the inner product of the higher vector space without you knowin...
For any t\ge 0 and scalar \theta >0, we have from Assumption 1 that \begin{aligned}&\mathbb {E}_i\left[ \exp \left( \theta z_{i,t}\textbf{E}_i\right) \right] \\ {}&\quad = \textbf{I}+ \theta z_{i,t}\mathbb {E}_i[\textbf{E}_i] + \sum _{j=2}^{\infty }...
We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some...
The coordinates of the sampling units or variables on a dimension that have average sum of squares equal to the variance accounted for by that dimension. Regressed In the context of principal component analysis, using multiple regression to predict a variable from the principal components. Scree plo...
method, on theyaxis is gene expression. For FateID51, thexaxis is given by the cell indices, which are assigned to the beta lineage, sorted by DPT7. We show one smoothed trend per lineage for CellRank and Palantir, and a smoothed trend along just the beta lineage for FateID because ...