Pages that link to "Item:Q2380085"
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The following pages link to Multivariate quantiles and multiple-output regression quantiles: from \(L_{1}\) optimization to halfspace depth (Q2380085):
Displaying 38 items.
- A weighted localization of halfspace depth and its properties (Q2397129) (← links)
- On weighted and locally polynomial directional quantile regression (Q2403398) (← links)
- Vector quantile regression beyond the specified case (Q2404414) (← links)
- Multivariate and functional classification using depth and distance (Q2418318) (← links)
- Discussion of ``Local quantile regression'' (Q2434698) (← links)
- Computing multiple-output regression quantile regions from projection quantiles (Q2512766) (← links)
- Local bilinear multiple-output quantile/depth regression (Q2515505) (← links)
- Precision Index in the Multivariate Context (Q2815368) (← links)
- From Depth to Local Depth: A Focus on Centrality (Q2861821) (← links)
- On easily interpretable multivariate reference regions of rectangular shape (Q3003011) (← links)
- Equivariance and invariance properties of multivariate quantile and related functions, and the role of standardisation (Q3068113) (← links)
- On Exact Computation of Some Statistics Based on Projection Pursuit in a General Regression Context (Q3087576) (← links)
- Fast Computation of Tukey Trimmed Regions and Median in Dimension <i>p</i> > 2 (Q3391277) (← links)
- Multivariate geometric expectiles (Q4583625) (← links)
- Multivariate Functional Halfspace Depth (Q4975360) (← links)
- Combining dependent tests based on data depth with applications to the two-sample problem for data of arbitrary types (Q5030940) (← links)
- On the estimation of extreme directional multivariate quantiles (Q5078040) (← links)
- A new approach for the computation of halfspace depth in high dimensions (Q5086196) (← links)
- Multivariate Quantile Impulse Response Functions (Q5237529) (← links)
- Computing Halfspace Depth and Regression Depth (Q5415897) (← links)
- Multivariate Process Capability Indices: A Directional Approach (Q5419695) (← links)
- Multiscale Quantile Segmentation (Q5881143) (← links)
- Discussion (Q5919918) (← links)
- Multivariate Hill Estimators (Q6064653) (← links)
- ADMM for Penalized Quantile Regression in Big Data (Q6064701) (← links)
- The sparse method of simulated quantiles: An application to portfolio optimization (Q6067572) (← links)
- General jackknife empirical likelihood and its applications (Q6172934) (← links)
- Spatial quantiles on the hypersphere (Q6183779) (← links)
- Parallel computation of bivariate point data depths and display of intrinsic depth segments (Q6541538) (← links)
- Multiple-output quantile regression neural network (Q6547755) (← links)
- Fast optimization methods for high-dimensional row-sparse multivariate quantile linear regression (Q6552935) (← links)
- Highly robust training of regularized radial basis function networks. (Q6584495) (← links)
- Empirical Dynamic Quantiles for Visualization of High-Dimensional Time Series (Q6621654) (← links)
- Regularity of center-outward distribution functions in non-convex domains (Q6624891) (← links)
- Directional multivariate extremes in environmental phenomena (Q6625835) (← links)
- Modeling conditional reference regions: application to glycemic markers (Q6628291) (← links)
- Bivariate Functional Quantile Envelopes With Application to Radiosonde Wind Data (Q6631880) (← links)
- Deterministic computation of quantiles in a Lipschitz framework (Q6664849) (← links)
