Pages that link to "Item:Q1568302"
From MaRDI portal
The following pages link to Multivariate analysis by data depth: Descriptive statistics, graphics and inference. (With discussions and rejoinder) (Q1568302):
Displaying 50 items.
- Nonparametric multivariate descriptive measures based on spatial quantiles (Q1877835) (← links)
- Asymptotics for the Tukey depth process, with an application to a multivariate trimmed mean (Q1880898) (← links)
- On the Stahel-Donoho estimator and depth-weighted means of multivariate data. (Q1884609) (← links)
- Influence function and maximum bias of projection depth based estimators. (Q1884610) (← links)
- Mass estimation (Q1945021) (← links)
- A nonparametric multivariate multisample test based on data depth (Q1950839) (← links)
- Halfspace depths for scatter, concentration and shape matrices (Q1990580) (← links)
- Fusing data depth with complex networks: community detection with prior information (Q2002721) (← links)
- A note on simplicial depth function (Q2006851) (← links)
- Detecting a structural change in functional time series using local Wilcoxon statistic (Q2010820) (← links)
- A new concept of quantiles for directional data and the angular Mahalanobis depth (Q2015161) (← links)
- Reconstruction of atomic measures from their halfspace depth (Q2022556) (← links)
- Depth-based classification for relational data with multiple attributes (Q2034448) (← links)
- Expectile depth: theory and computation for bivariate datasets (Q2034470) (← links)
- A new variational approach based on level-set function for convex hull problem with outliers (Q2037215) (← links)
- On general notions of depth for regression (Q2038290) (← links)
- Dirichlet depths for point process (Q2044426) (← links)
- Halfspace depth does not characterize probability distributions (Q2065266) (← links)
- Simultaneous monitoring of origin and scale in left-bounded processes via depth (Q2068901) (← links)
- RR-classifier: a nonparametric classification procedure in multidimensional space based on relative ranks (Q2068902) (← links)
- Validity, consonant plausibility measures, and Conformal prediction (Q2069036) (← links)
- Data depth-based nonparametric tests for multivariate scales (Q2074660) (← links)
- Multivariate deep learning model with ensemble pruning for time series forecasting (Q2079938) (← links)
- Some goodness of fit tests based on centre outward spacings (Q2112267) (← links)
- Employing the MCMC technique to compute the projection depth in high dimensions (Q2141582) (← links)
- On weighted multivariate sign functions (Q2146460) (← links)
- Halfspace depth for general measures: the ray basis theorem and its consequences (Q2151691) (← links)
- Boundary estimation from point clouds: algorithms, guarantees and applications (Q2161815) (← links)
- Choosing among notions of multivariate depth statistics (Q2163071) (← links)
- Depth-based weighted jackknife empirical likelihood for non-smooth \(U\)-structure equations. WJEL for \(U\)-structure equations (Q2195752) (← links)
- Uniform convergence rates for the approximated halfspace and projection depth (Q2209837) (← links)
- Flexible integrated functional depths (Q2214265) (← links)
- The limit shape of convex hull peeling (Q2217876) (← links)
- Directional bivariate quantiles: a robust approach based on the cumulative distribution function (Q2218561) (← links)
- Balancing a sample almost perfectly (Q2244548) (← links)
- Integrated rank-weighted depth (Q2274931) (← links)
- Control charts based on parameter depths (Q2294964) (← links)
- Nonparametric control charts based on data depth for location parameter (Q2321771) (← links)
- Scatter halfspace depth for \(K\)-symmetric distributions (Q2322590) (← links)
- Nonparametrically consistent depth-based classifiers (Q2345115) (← links)
- On generalized elliptical quantiles in the nonlinear quantile regression setup (Q2351813) (← links)
- Vector-on-function quantile regression for stationary ergodic processes (Q2355257) (← links)
- A multivariate control quantile test using data depth (Q2359478) (← links)
- Interpretable dimension reduction for classifying functional data (Q2359481) (← links)
- Opposite-quadrant depth in the plane (Q2373438) (← links)
- Multivariate quantiles and multiple-output regression quantiles: from \(L_{1}\) optimization to halfspace depth (Q2380085) (← links)
- A weighted localization of halfspace depth and its properties (Q2397129) (← links)
- The \(\mathrm{DD}^G\)-classifier in the functional setting (Q2398081) (← links)
- Classification rules based on distribution functions of functional depth (Q2423182) (← links)
- Inference on impulse response functions in structural VAR models (Q2448406) (← links)
