Block thresholding for density estimation: local and global adaptivity

By Eric Chicken, Tommaso Cai. 2005

50 citations recorded by the source corpus.

Subfields: Applied Mathematics, Computational Mechanics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/d20e179ed2f14a2061fa7a6f8d7c692ca9491ecc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

1. Guillaume Lecué
2. Christophe Chesneau

In Computational Mechanics

1. Guillaume Lecué
2. Christophe Chesneau

In Computer Vision and Pattern Recognition

1. Guillaume Lecué
2. Christophe Chesneau

Citations in the corpus

• Adapting to Unknown Smoothness by Aggregation of Thresholded Wavelet Estimators (2006, methodology): “ard thresholded estimator (see [21]), by the global wavelet block thresholded estimator (see [37]), by the localized wavelet block thresholded estimator (see [9, 12, 10], [28, 27], [24, 25], [16] and [11]) and, in particular, the penalized Blockwise Stein method (see [14]) are worse than the one obt”