187 search results - page 1 / 38 » On sparse estimation for semiparametric linear transformatio... |
MA
2010
Springer
13 years 6 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...
CDC
2010
IEEE
13 years 2 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
14 years 2 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...
NIPS
2003
13 years 9 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
13 years 7 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...