VeloTree infers differentiation trees from RNA velocity fields by defining cell dissimilarity as the squared varifold distance between integral curves of the velocity field.
and Horenstein, Alex R
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Develops consistent procedures and an efficient alternating least squares algorithm for determining the number of dynamic factors and filter length in dynamic factor models, applied to US macroeconomic time series.
An augmented kernel ridge regression estimator separates linear and nonlinear components to achieve sharp oracle inequalities and minimax optimal prediction risk under general kernels.
citing papers explorer
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VeloTree: Inferring single-cell trajectories from RNA velocity fields with varifold distances
VeloTree infers differentiation trees from RNA velocity fields by defining cell dissimilarity as the squared varifold distance between integral curves of the velocity field.
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Determining the Structure of Dynamic Factor Models
Develops consistent procedures and an efficient alternating least squares algorithm for determining the number of dynamic factors and filter length in dynamic factor models, applied to US macroeconomic time series.
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Adaptive Kernel Ridge Regression with Linear Structure: Sharp Oracle Inequalities and Minimax Optimality
An augmented kernel ridge regression estimator separates linear and nonlinear components to achieve sharp oracle inequalities and minimax optimal prediction risk under general kernels.