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TCAD
2010
98views more  TCAD 2010»
14 years 6 months ago
Statistical Modeling With the PSP MOSFET Model
PSP and the backward propagation of variance (BPV) method are used to characterize the statistical variations of metal-oxide-semiconductor field effect transistors (MOSFETs). BPV s...
Xin Li, Colin C. McAndrew, Weimin Wu, Samir Chaudh...
CSDA
2007
85views more  CSDA 2007»
14 years 11 months ago
Markov models for digraph panel data: Monte Carlo-based derivative estimation
A parametric, continuous-time Markov model for digraph panel data is considered. The parameter is estimated by the method of moments. A convenient method for estimating the varian...
Michael Schweinberger, Tom A. B. Snijders
ICASSP
2011
IEEE
14 years 3 months ago
Point process MCMC for sequential music transcription
In this paper, models and algorithms are presented for transcription of pitch and timings in polyphonic music extracts, focusing on the algorithm details of the sequential Markov ...
Pete Bunch, Simon J. Godsill
WSC
1998
15 years 1 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
ICASSP
2009
IEEE
15 years 6 months ago
Bayesian sparse image reconstruction for MRFM
In this paper, we propose a Bayesian model and a Monte Carlo Markov chain (MCMC) algorithm for reconstructing images that consist of only few non-zero pixels. An appropriate distr...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...