Pages that link to "Item:Q1023768"
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The following pages link to Feature significance for multivariate kernel density estimation (Q1023768):
Displaying 31 items.
- Kernel density estimation on the torus (Q630951) (← links)
- Statistical inference and visualization in scale-space for spatially dependent images (Q744746) (← links)
- Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints (Q1662096) (← links)
- Functional-bandwidth kernel for support vector machine with functional data: an alternating optimization algorithm (Q1711465) (← links)
- Multiscale inference for a multivariate density with applications to X-ray astronomy (Q1753976) (← links)
- Approximate inference of the bandwidth in multivariate kernel density estimation (Q1942890) (← links)
- Data-driven density derivative estimation, with applications to nonparametric clustering and bump hunting (Q1951124) (← links)
- Mixture model modal clustering (Q1999447) (← links)
- Asymptotic confidence regions for density ridges (Q2040044) (← links)
- Nonparametric semi-supervised classification with application to signal detection in high energy physics (Q2082459) (← links)
- Estimation of the global mode of a density: minimaxity, adaptation, and computational complexity (Q2137814) (← links)
- Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset (Q2209715) (← links)
- Normal reference bandwidths for the general order, multivariate kernel density derivative estimator (Q2231028) (← links)
- Full bandwidth matrix selectors for gradient kernel density estimate (Q2359493) (← links)
- Estimation of level set trees using adaptive partitions (Q2403408) (← links)
- Local significant differences from nonparametric two-sample tests (Q2863040) (← links)
- Polynomial histograms for multivariate density and mode estimation (Q2911705) (← links)
- (Q4558505) (← links)
- On nonparametric density estimation for multivariate linear long-memory processes (Q5076960) (← links)
- An exploratory data analysis in scale-space for interval-valued data (Q5138195) (← links)
- A hybrid bandwidth selection methodology for kernel density estimation (Q5219286) (← links)
- Probabilistic learning on manifolds (PLoM) with partition (Q6061724) (← links)
- The Modal Age of Statistics (Q6064342) (← links)
- Statistical Scale Space Methods (Q6086460) (← links)
- Updating an uncertain and expensive computational model in structural dynamics based on one single target FRF using a probabilistic learning tool (Q6101638) (← links)
- Modal clustering of matrix-variate data (Q6106167) (← links)
- Reconstruction of random fields concentrated on an unknown curve using irregularly sampled data (Q6549634) (← links)
- Level set tree methods (Q6602206) (← links)
- Transient anisotropic kernel for probabilistic learning on manifolds (Q6643613) (← links)
- Optimizing sensor calibration in open environments: a Bayesian approach for non-specific multisensory systems (Q6658814) (← links)
- A fresh look at mean-shift based modal clustering (Q6661128) (← links)
