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» On Nonparametric Residual Variance Estimation
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JMLR
2011
142views more  JMLR 2011»
13 years 2 months ago
Causal Search in Structural Vector Autoregressive Models
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
Alessio Moneta, Nadine Chlass, Doris Entner, Patri...
ICCAD
2006
IEEE
95views Hardware» more  ICCAD 2006»
14 years 4 months ago
Robust estimation of parametric yield under limited descriptions of uncertainty
Reliable prediction of parametric yield for a specific design is difficult; a significant reason is the reliance of the yield estimation methods on the hard-to-measure distributio...
Wei-Shen Wang, Michael Orshansky
TWC
2010
13 years 1 months ago
Reduced-Complexity Joint Baseband Compensation of Phase Noise and I/Q Imbalance for MIMO-OFDM Systems
The maximum likelihood estimate of the impulse response of a frequency-selective channel in the presence of phase noise and I/Q imbalance is derived. The complexity of the joint es...
Rabie Rabiei, Won Namgoong, Naofal Al-Dhahir
AMC
2004
108views more  AMC 2004»
13 years 7 months ago
A variational approach to magnetic resonance coil sensitivity estimation
Abstract. A variational method for estimating a magnetic resonance coil sensitivity from its corresponding nonuniform illumination of magnetic resonance images is proposed and anal...
Stephen L. Keeling, Roland Bammer
MA
2010
Springer
94views Communications» more  MA 2010»
13 years 5 months ago
On sparse estimation for semiparametric linear transformation models
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
Hao Helen Zhang, Wenbin Lu, Hansheng Wang