Pages that link to "Item:Q1659071"
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The following pages link to A fast and objective multidimensional kernel density estimation method: fastKDE (Q1659071):
Displaying 13 items.
- Density estimation with distribution element trees (Q144212) (← links)
- Fast computation of spatially adaptive kernel estimates (Q1704028) (← links)
- TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions (Q2097447) (← links)
- A faster algorithm to estimate multiresolution densities (Q2203412) (← links)
- Reduction of multivariate mixtures and its applications (Q2214625) (← links)
- A new kernel density estimator based on the minimum entropy of data set (Q2214981) (← links)
- Fast kernel conditional density estimation: a dual-tree Monte Carlo approach (Q2445624) (← links)
- Dm-KDE: dynamical kernel density estimation by sequences of KDE estimators with fixed number of components over data streams (Q2515426) (← links)
- Quantifying the closeness to a set of random curves <i> via</i> the mean marginal likelihood (Q4990907) (← links)
- Density estimation of multivariate samples using Wasserstein distance (Q5107701) (← links)
- Quick multivariate kernel density estimation for massive data sets (Q5430321) (← links)
- A Semiparametric Kernel Independence Test With Application to Mutational Signatures (Q5881952) (← links)
- \texttt{fastMI}: a fast and consistent copula-based nonparametric estimator of mutual information (Q6200945) (← links)
