Efron, Bradley, Hastie, Trevor, Johnstone, Iain, Tibshirani, Robert
The purpose of model selection algorithms such as All Subsets, Forward Selection and Backward Elimination is to choose a linear model on the basis of the same set of data to which the model will be...
Rejoinder to "Least angle regression" by Efron et al (2004)
Efron, Bradley, Hastie, Trevor, Johnstone, Iain, Tibshirani, Robert
Rejoinder to ``Least angle regression'' by Efron et al. [math.ST/0406456]
Efron, Bradley, Hastie, Trevor, Johnstone, Iain, Tibshirani, Robert
The purpose of model selection algorithms such as All Subsets, Forward Selection and Backward Elimination is to choose a linear model on the basis of the same set of data to which the model will be...
Joyce, Paul (realización), Jeremy, John (montaje), Kristofferson, Kris (música), Johnstone, Iain (realización), Clarke, Roy A. (montaje), Bell, Martin (fotografía), ...
El segundo tomo de esta presentación en DVD del sexto de los catorce largometrajes que componen la filmografía como director del cineasta norteamericano Sam Peckinpah (1926-1984), uno de los...
Xiaoming Huo, Mark Duncan, Ofer Levi-tsabari, Jonathan Buckheit, Shaobing Chen, David Donoho, ...
WaveLab is a library of Matlab routines for wavelet analysis, wavelet-packet analysis, cosine-packet analysis and matching pursuit. The library is available free of charge over the Internet. Versions...
Thresholding for Weighted Chi² (2000)
Given data from a spherical Gaussian distribution with unknown mean vector #, estimates of quadratic functionals are constructed by thresholding. Mean squared error bounds are derived via a...
Adapting to Unknown Sparsity by controlling the False Discovery Rate (2000)
Felix Abramovich, Yoav Benjamini, David Donoho, Iain Johnstone
We attempt to recover a high-dimensional vector observed in white noise, where the vector is known to be sparse, but the degree of sparsity is unknown. We consider three di#erent ways of defining...
Adapting to Unknown Sparsity by controlling the False Discovery Rate (2000)
Felix Abramovich, Yoav Benjamini, David Donoho, Iain Johnstone
We attempt to recover a high-dimensional vector observed in white noise, where the vector is known to be sparse, but the degree of sparsity is unknown. We consider three dierent ways of dening...
Statistical Models for Image Sequences (1999)
Neil Crellin, Trevor Hastie, Iain Johnstone
Identification of brain activity using functional magnetic resonance imaging (fMRI) depends on blood flow replenishing activated neuronal sites. In this paper we describe how previous studies have...
Statistical Models for Image Sequences (1999)
Neil Crellin, Trevor Hastie, Iain Johnstone
Identification of brain activity using functional magnetic resonance imaging (fMRI) depends on blood flow replenishing activated neuronal sites. In this paper we describe how previous studies have...
On Hotelling's Formula for the Volume of Tubes and Naiman's Inequality. (1998)
Johnstone, Iain, Siegmund, David
Motivation by the question of testing for a nonlinear parameter in a regression model with independent, homoscedastic normal residuals, Hotelling (1939) was led to consider the geometric problem of...
WaveLab Reference Manual (1997)
Jonathan Buckheit, Shaobing Chen, David Donoho, Iain Johnstone, Jeffrey Scargle
Contents Alphabetic Function Synopses 2 Continuous : : : 9 DataSets : : : 32 DeNoising : : : : 62 Documentation : : 79 FastAlgorithms : : 80 Interpolating : : 91 Meyer : : : : 111 Orthogonal : : :...
Joyce, Paul (realización), Jeremy, John (montaje), Kristofferson, Kris (música), Johnstone, Iain (realización), Clarke, Roy A. (montaje), Bell, Martin (fotografía), ...
El segundo tomo de esta presentación en DVD del sexto de los catorce largometrajes que componen la filmografía como director del cineasta norteamericano Sam Peckinpah (1926-1984), uno de los...
EbayesThresh: R Programs for Empirical Bayes Thresholding
Iain Johnstone, Bernard W. Silverman
Suppose that a sequence of unknown parameters is observed sub ject to independent Gaussian noise. The EbayesThresh package in the S language implements a class of Empirical Bayes thresholding methods...