Pages that link to "Item:Q4568290"

The following pages link to Statistical inference for high-dimension, low-sample-size data (Q4568290):

Displaying 13 items.

• Pattern recognition based on canonical correlations in a high dimension low sample size context (Q444992) (← links)
• Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations (Q764487) (← links)
• Asymptotic properties of the first principal component and equality tests of covariance matrices in high-dimension, low-sample-size context (Q899373) (← links)
• Robust centroid based classification with minimum error rates for high dimension, low sample size data (Q1021991) (← links)
• Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings (Q2048123) (← links)
• In defense of the indefensible: a very naïve approach to high-dimensional inference (Q2075709) (← links)
• High-dimensional inference using the extremal skew-\(t\) process (Q2231315) (← links)
• Using visual statistical inference to better understand random class separations in high dimension, low sample size data (Q2354730) (← links)
• Asymptotic inference for high-dimensional data (Q2380091) (← links)
• Intrinsic Dimensionality Estimation of High-Dimension, Low Sample Size Data with<i>D</i>-Asymptotics (Q3585254) (← links)
• A survey of high dimension low sample size asymptotics (Q4639812) (← links)
• The high-dimension, low-sample-size geometric representation holds under mild conditions (Q5447664) (← links)
• Effective methodologies for high-dimensional data (Q6486990) (← links)