693 search results - page 12 / 139 » Estimation in covariate-adjusted regression |
JMLR
2010
14 years 4 months ago
2010
This paper considers the problem of estimating a high dimensional inverse covariance matrix that can be well approximated by "sparse" matrices. Taking advantage of the c...
66
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper addresses the estimation of symmetric χ2 -divergence between two point processes. We propose a novel approach by, first, mapping the space of spike trains in an appro...
92
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
INFORMATICALT
2011
14 years 4 months ago
2011
It is well known that in situations involving the study of large datasets where influential observations or outliers maybe present, regression models based on the Maximum Likeliho...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...