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Loopy belief propagation for approximate inference: An empirical study. In:
 Proceedings of Uncertainty in AI,
, 1999
"... Abstract Recently, researchers have demonstrated that "loopy belief propagation" the use of Pearl's polytree algorithm in a Bayesian network with loops can perform well in the context of errorcorrecting codes. The most dramatic instance of this is the near Shannonlimit performanc ..."
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Cited by 676 (15 self)
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marginals at the last two iterations. We only plot the diseases which had nonnegligible posterior probability. Loopy Belief Propagation . s=o� . a' range of prior To test this hypothesis, we reparameterized the pyra mid network as follows: we set the prior probability of the "1"
Being Bayesian about network structure
 Machine Learning
, 2000
"... Abstract. In many multivariate domains, we are interested in analyzing the dependency structure of the underlying distribution, e.g., whether two variables are in direct interaction. We can represent dependency structures using Bayesian network models. To analyze a given data set, Bayesian model sel ..."
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Cited by 299 (3 self)
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selection attempts to find the most likely (MAP) model, and uses its structure to answer these questions. However, when the amount of available data is modest, there might be many models that have nonnegligible posterior. Thus, we want compute the Bayesian posterior of a feature, i.e., the total posterior
Time varying structural vector autoregressions and monetary policy
 REVIEW OF ECONOMIC STUDIES
, 2005
"... Monetary policy and the private sector behavior of the US economy are modeled as a time varying structural vector autoregression, where the sources of time variation are both the coefficients and the variance covariance matrix of the innovations. The paper develops a new, simple modeling strategy f ..."
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Cited by 306 (8 self)
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for the law of motion of the variance covariance matrix and proposes an efficient Markov chain Monte Carlo algorithm for the model likelihood/posterior numerical evaluation. The main empirical conclusions are: 1) both systematic and nonsystematic monetary policy have changed during the last forty years
Generalized Additive Bayesian Network Classifiers
"... Bayesian network classifiers (BNC) have received considerable attention in machine learning field. Some special structure BNCs have been proposed and demonstrate promise performance. However, recent researches show that structure learning in BNs may lead to a nonnegligible posterior problem, i.e, t ..."
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Bayesian network classifiers (BNC) have received considerable attention in machine learning field. Some special structure BNCs have been proposed and demonstrate promise performance. However, recent researches show that structure learning in BNs may lead to a nonnegligible posterior problem, i
Bayesian Poisson Regression using the Gibbs Sampler: Sensitivity Analysis through Dynamic Graphics
"... In a Bayesian analysis one fixes a prior on the unknown parameter, observes the data, and obtains the posterior distribution of the parameter given the data. For a number of problems the posterior cannot be obtained in closed form and one uses instead the Markov chain simulation method, which in ..."
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in effect produces a sequence of random variables distributed approximately from the posterior distribution. These random variables can be used to estimate the posterior or features of it like the posterior expectation and variance. Unfortunately, the Markov chain simulation method requires nonnegligible
1 Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods
, 805
"... Abstract — We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavytailed, or (b) the state space dimension is large or both. When the OL is multimodal, but the state transition pdf (STP) is narro ..."
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when the available N is small. An important class of large dimensional problems with multimodal OL is tracking spatially varying physical quantities such as temperature or pressure in a large area using a network of sensors which may be nonlinear and/or may have nonnegligible failure probabilities
The relationship between gastroesophageal reflux disease and obstructive sleep apnea
 PMID: 15565398 DOI
"... There has been an accumulating body of research concerning the extraesophageal complications of gastroesophageal reflux disease over the past decade. Given the cardiological, pulmonological, laryngeal, and dental aspects of such complications, an interdisciplinary approach is required. The most rec ..."
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Cited by 9 (0 self)
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that the transdiphragmatic pressure increases in parallel with the growing intrathoracic pressure generated during obstructive apnea episodes. This has a nonnegligible effect on the phrenoesophageal ligament, which is connected to the lower esophageal sphincter. Repetition of the pressure changes results in insufflciency
Open Access Detection of NonCavitated Occlusal Caries with Impedance Spectroscopy and Laser Fluorescence: an In Vitro Study
"... Abstract: Objective: To evaluate the performance of an impedance spectroscopy technology for detecting noncavitated occlusal caries lesions in permanent teeth in vitro. The method was compared with a commonly used laser fluorescence device and validated against histology. Material and Methodology: ..."
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: A noncavitated sample of 100 extracted posterior teeth was randomly selected and assessed for caries on enamel and dentin level with aid of CarioScan PRO (ACIS) and DIAGNOdent pen (LF pen) by three examiners. After the measurements, the extension of the lesion was histologically determined as gold
unknown title
"... Anne SABOURIN Mélanges bayésiens de modèles d'extrêmes multivariés, Application à la prédétermination régionale des crues avec données incomplètes. Sous la direction de: ..."
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Anne SABOURIN Mélanges bayésiens de modèles d'extrêmes multivariés, Application à la prédétermination régionale des crues avec données incomplètes. Sous la direction de:
Recommended Citation
, 2007
"... Operational risk assessment of chemical industries by exploiting accident databases ..."
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Operational risk assessment of chemical industries by exploiting accident databases
Results 1  10
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15