The following pages link to Projection pursuit (Q1077847):
Displaying 37 items.
- The independent factor analysis approach to latent variable modelling (Q5402477) (← links)
- Multivariate Process Capability Indices: A Directional Approach (Q5419695) (← links)
- Dimension Selection for Feature Selection and Dimension Reduction with Principal and Independent Component Analysis (Q5423024) (← links)
- Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures (Q5473192) (← links)
- Testing the Equality of Multivariate Distributions Using the Bootstrap and Integrated Empirical Processes (Q5484659) (← links)
- Finding Relevant Linear Manifolds in Classification by Gaussian Mixtures (Q5494949) (← links)
- Edgeworth-Expanded Gaussian Mixture Density Modeling (Q5696504) (← links)
- Edgeworth Approximation of Multivariate Differential Entropy (Q5706652) (← links)
- Data-Driven Polynomial Ridge Approximation Using Variable Projection (Q5745137) (← links)
- A Seemingly Unrelated Nonparametric Additive Model with Autoregressive Errors (Q5864378) (← links)
- Optimality of the rescaled pure greedy learning algorithms (Q5880599) (← links)
- Approximation by superpositions of a sigmoidal function (Q5916442) (← links)
- Non- and semiparametric statistics: compared and contrasted (Q5928932) (← links)
- A projection pursuit approach to variable selection. (Q5940833) (← links)
- Robust Q-mode principal component analysis in \(L_{1}\) (Q5941545) (← links)
- A counter-example to the general convergence of partially greedy algorithms (Q5944137) (← links)
- Trimmed \(\tilde T^2\): A robust analog of Hotelling's \(T^2\) (Q5945263) (← links)
- Image approximation and modeling via least statistically dependent bases (Q5948909) (← links)
- On some tests-based projection pursuit for elliptical symmetry of a high-dimensional distribution (Q5955868) (← links)
- Discussion of: ``The power of monitoring: how to make the most of a contaminated multivariate sample'' (Q5971028) (← links)
- The relationship between shape parameters and kurtosis in some relevant models (Q6080785) (← links)
- A Computational Perspective on Projection Pursuit in High Dimensions: Feasible or Infeasible Feature Extraction (Q6089883) (← links)
- An exploratory data analysis of the temperature fluctuations in a spreading fire (Q6090054) (← links)
- Estimation of projection pursuit regression via alternating linearization (Q6096647) (← links)
- Optimal projections for Gaussian discriminants (Q6106145) (← links)
- Kurtosis removal for data pre-processing (Q6106162) (← links)
- Pointwise Weyl law for graphs from quantized interval maps (Q6114488) (← links)
- Post-selection Inference of High-dimensional Logistic Regression Under Case–Control Design (Q6149873) (← links)
- Sparse dimension reduction based on energy and ball statistics (Q6161663) (← links)
- Projection expectile regression for sufficient dimension reduction (Q6167053) (← links)
- Analysis of the rate of convergence of two regression estimates defined by neural features which are easy to implement (Q6200889) (← links)
- Projection-based techniques for high-dimensional optimal transport problems (Q6602009) (← links)
- Independent component analysis: a statistical perspective (Q6602209) (← links)
- Merging two cultures: deep and statistical learning (Q6604368) (← links)
- Refining invariant coordinate selection via local projection pursuit (Q6606400) (← links)
- Single-Index-Based CoVaR With Very High-Dimensional Covariates (Q6623175) (← links)
- On the representability of a continuous multivariate function by sums of ridge functions (Q6632950) (← links)
