187 search results - page 1 / 38 » On sparse estimation for semiparametric linear transformatio... |
MA
2010
Springer
14 years 8 months ago
2010
Springer
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
120
Voted
CDC
2010
IEEE
14 years 5 months ago
2010
IEEE
We present a two-step method for identifying SISO Hammerstein systems. First, using a persistent input with retrospective cost optimization, we estimate a parametric model of the l...
ICASSP
2009
IEEE
15 years 5 months ago
2009
IEEE
Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse respo...
79
Voted
NIPS
2003
14 years 11 months ago
2003
We formulate linear dimensionality reduction as a semi-parametric estimation problem, enabling us to study its asymptotic behavior. We generalize the problem beyond additive Gauss...
CSDA
2010
14 years 10 months ago
2010
In this paper, we specify the indirect utility function as a partially linear model, where utility is nonparametric in expenditure and parametric (with fixed- or varying-coefficie...