The following pages link to Multivariate Density Estimation (Q5251249):
Displaying 50 items.
- Optimal rates for estimation of two-dimensional totally positive distributions (Q2192313) (← links)
- High-order sequential simulation via statistical learning in reproducing kernel Hilbert space (Q2198926) (← links)
- Recurrence quantity analysis based on matrix eigenvalues (Q2205819) (← links)
- Inhomogeneous higher-order summary statistics for point processes on linear networks (Q2209701) (← links)
- Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset (Q2209715) (← links)
- Reduction of multivariate mixtures and its applications (Q2214625) (← links)
- Comparative study of differentially private data synthesis methods (Q2218047) (← links)
- Entropy-based closure for probabilistic learning on manifolds (Q2220629) (← links)
- Hypothesis testing based on a vector of statistics (Q2224888) (← links)
- A spatial filtering inspired three-way clustering approach with application to outlier detection (Q2237120) (← links)
- New multivariate kernel density estimator for uncertain data classification (Q2241191) (← links)
- A precise local limit theorem for the multinomial distribution and some applications (Q2242855) (← links)
- Multivariate density estimation using dimension reducing information and tail flattening trans\-formations (Q2276209) (← links)
- Bagging of density estimators (Q2282605) (← links)
- Popular raster-based methods of prospectivity modeling and their relationships (Q2284100) (← links)
- Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates (Q2291306) (← links)
- A new binary adaptive elitist differential evolution based automatic \(k\)-medoids clustering for probability density functions (Q2298657) (← links)
- The effect of prior probabilities on quantification and propagation of imprecise probabilities resulting from small datasets (Q2310925) (← links)
- Kernel density estimation from complex surveys in the presence of complete auxiliary information (Q2312012) (← links)
- Generalized cluster trees and singular measures (Q2313283) (← links)
- A quadrat neighborhood estimator for intensity function of point processes (Q2317420) (← links)
- Robust functional estimation in the multivariate partial linear model (Q2317880) (← links)
- Discrete minimax estimation with trees (Q2323936) (← links)
- Importance sampling and its optimality for stochastic simulation models (Q2326062) (← links)
- Data-driven \(k\)NN estimation in nonparametric functional data analysis (Q2374407) (← links)
- A weighted localization of halfspace depth and its properties (Q2397129) (← links)
- On the le Cam distance between Poisson and Gaussian experiments and the asymptotic properties of Szasz estimators (Q2660486) (← links)
- When can we improve on sample average approximation for stochastic optimization? (Q2661521) (← links)
- FDR control of detected regions by multiscale matched filtering (Q2965561) (← links)
- Detecting interactions in discrete-time dynamics by random variable resetting (Q3388694) (← links)
- Multivariate visualization by density estimation (Q3504376) (← links)
- Smoothing of Multivariate Data (Q3564986) (← links)
- (Q3998908) (← links)
- (Q4025560) (← links)
- (Q4493303) (← links)
- A Micro-Macro Acceleration Method for the Monte Carlo Simulation of Stochastic Differential Equations (Q4594904) (← links)
- Tail density estimation for exploratory data analysis using kernel methods (Q4613969) (← links)
- (Q4633025) (← links)
- Bayesian inference of spreading processes on networks (Q4646921) (← links)
- Multivariate density estimation: theory, practice, and visualization (Q4863755) (← links)
- Data Exploration by Representative Region Selection: Axioms and Convergence (Q4958552) (← links)
- Some Universal Insights on Divergences for Statistics, Machine Learning and Artificial Intelligence (Q4967759) (← links)
- Sub-Hinze scale bubble production in turbulent bubble break-up (Q4987908) (← links)
- Uniform convergence rate of the kernel regression estimator adaptive to intrinsic dimension in presence of censored data (Q4988815) (← links)
- Quantifying the closeness to a set of random curves <i> via</i> the mean marginal likelihood (Q4990907) (← links)
- Efficient Computation of Extreme Excursion Probabilities for Dynamical Systems through Rice's Formula (Q4995122) (← links)
- A Framework of Learning Through Empirical Gain Maximization (Q5004380) (← links)
- Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker--Planck Equation and Physics-Informed Neural Networks (Q5004999) (← links)
- Asymptotic properties of random Voronoi cells with arbitrary underlying density (Q5005029) (← links)
- On the uniform-in-bandwidth consistency of the general conditional<i>U</i>-statistics based on the copula representation (Q5012349) (← links)
