115 search results - page 11 / 23 » Markov Chain Monte Carlo Estimation of Exponential Random Gr... |
97
Voted
TASLP
2002
14 years 11 months ago
2002
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
SAC
2010
ACM
14 years 6 months ago
2010
ACM
The label switching problem is caused by the likelihood of a Bayesian mixture model being invariant to permutations of the labels. The permutation can change multiple times betwee...
145
Voted
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
80
Voted
JCNS
2010
14 years 10 months ago
2010
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
CDC
2010
IEEE
14 years 6 months ago
2010
IEEE
We examine distributed time-synchronization in mobile ad-hoc and sensor networks. The problem is to estimate the skews and offsets of clocks of all the nodes with respect to an arb...