Pages that link to "Item:Q1623470"

The following pages link to Bayesian estimation of adaptive bandwidth matrices in multivariate kernel density estimation (Q1623470):

Displaying 28 items.

• Bandwidth selection for kernel density estimators of multivariate level sets and highest density regions (Q147915) (← links)
• Bayesian bandwidth selection in discrete multivariate associated kernel estimators for probability mass functions (Q334835) (← links)
• Bayesian adaptive bandwidth kernel density estimation of irregular multivariate distributions (Q425687) (← links)
• On multivariate associated kernels to estimate general density functions (Q684068) (← links)
• Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data (Q736586) (← links)
• A Bayesian approach to bandwidth selection for multivariate kernel density estimation (Q959388) (← links)
• On bandwidth selection using minimal spanning tree for kernel density estimation (Q1659027) (← links)
• Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints (Q1662096) (← links)
• Approximate inference of the bandwidth in multivariate kernel density estimation (Q1942890) (← links)
• Body tail adaptive kernel density estimation for nonnegative heavy-tailed data (Q2031303) (← links)
• Asymptotic properties of Dirichlet kernel density estimators (Q2057837) (← links)
• Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset (Q2209715) (← links)
• Bayesian inference of a parametric random spheroid from its orthogonal projections (Q2241602) (← links)
• Comparison study to bandwidth selection in binomial kernel estimation using Bayesian approaches (Q2323158) (← links)
• Effects of associated kernels in nonparametric multiple regressions (Q2323180) (← links)
• A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation (Q2630081) (← links)
• Bayesian selector of adaptive bandwidth for gamma kernel density estimator on [0,∞): simulations and applications (Q5055206) (← links)
• BAYESIAN SELECTION OF LOCAL BANDWIDTH IN NON-HOMOGENEOUS POISSON PROCESS KERNEL ESTIMATORS FOR THE INTENSITY FUNCTION (Q5069475) (← links)
• Nonparametric density estimation based on beta prime kernel (Q5085580) (← links)
• Adaptive Bayesian bandwidth selection in asymmetric kernel density estimation for nonnegative heavy-tailed data (Q5130279) (← links)
• Bayesian adaptive bandwidth selector for multivariate discrete kernel estimator (Q5160231) (← links)
• Bayesian local bandwidth selector in multivariate associated kernel estimator for joint probability mass functions (Q5221560) (← links)
• Bayesian selector of adaptive bandwidth for multivariate gamma kernel estimator on [0,∞ )^<i>d</i> (Q5865404) (← links)
• Probabilistic learning on manifolds (PLoM) with partition (Q6061724) (← links)
• Updating an uncertain and expensive computational model in structural dynamics based on one single target FRF using a probabilistic learning tool (Q6101638) (← links)
• A Bayesian approach for nonparametric regression in the presence of correlated errors (Q6125012) (← links)
• Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths (Q6567432) (← links)
• Optimizing sensor calibration in open environments: a Bayesian approach for non-specific multisensory systems (Q6658814) (← links)