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66
General methods for monitoring convergence of iterative simulations
- J. Comput. Graph. Statist
, 1998
"... We generalize the method proposed by Gelman and Rubin (1992a) for monitoring the convergence of iterative simulations by comparing between and within variances of multiple chains, in order to obtain a family of tests for convergence. We review methods of inference from simulations in order to develo ..."
Abstract
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Cited by 551 (8 self)
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to develop convergence-monitoring summaries that are relevant for the purposes for which the simulations are used. We recommend applying a battery of tests for mixing based on the comparison of inferences from individual sequences and from the mixture of sequences. Finally, we discuss multivariate analogues
Stephen Brooks and Andrew Gelman
- Journal of Computational and Graphical Statistics
, 1998
"... We generalise the method proposed by Gelman and Rubin (1992a) for monitoring the convergence of iterative simulations by comparing between and within variances of multiple chains, in order to obtain a family of tests for convergence. We review methods of inference from simulations in order to develo ..."
Abstract
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to develop convergence-monitoring summaries that are relevant for the purposes for which the simulations are used. We recommend applying a battery of tests for mixing based on the comparison of inferences from individual sequences and from the mixture of sequences. Finally, we discuss multivariate analogues
Summary
, 1998
"... The present paper investigates the potential of combining image processing techniques based on cluster analysis of infrared (IR) Meteosat images with dynamic meteorologi-cal theory on synoptic systems. From this last point of view the highest probability of deep convective development is favoured wh ..."
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where the overlapping of four mechanisms acting at synoptic scale is produced: upward quasi-geostrophic forcing, convergence of water vapour at low levels, convective instability in the lower troposphere and great convective available potential energy. Cloud tracking is performed over sequences
6 Inference from Simulations and Monitoring Convergence
"... Constructing efficient iterative simulation algorithms can be difficult, but inference and monitoring convergence are relatively easy. We first give our recommended strategy (following Section 11.10 of Gelman et al., 2003) and then explain the reasons for our recommendations, illustrating with a rel ..."
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Constructing efficient iterative simulation algorithms can be difficult, but inference and monitoring convergence are relatively easy. We first give our recommended strategy (following Section 11.10 of Gelman et al., 2003) and then explain the reasons for our recommendations, illustrating with a
Individual differences in sensitivity to disgust: A scale sampling seven domains of disgust elicitors
- Personality and Individual Differences, 16 , 701
, 1994
"... Summary-We describe the development of a reliable measure of individual differences in disgust sensitivity. The 32-item Disgust Scale includes 2 true-false and 2 disgust-rating items for each of 7 domains of disgust elicitors (food, animals, body products, sex, body envelope violations, death. and h ..."
Abstract
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Cited by 132 (7 self)
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Summary-We describe the development of a reliable measure of individual differences in disgust sensitivity. The 32-item Disgust Scale includes 2 true-false and 2 disgust-rating items for each of 7 domains of disgust elicitors (food, animals, body products, sex, body envelope violations, death
THEME E SUMMARY E. NATIONAL SECURITY
"... The fourth NBIC theme examines the ways in which the United States and modern civilization can meet the intelligence and defense challenges of the new century. In a world where the very nature of warfare is changing rapidly, national defense requires innovative technology that (a) projects power so ..."
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convincingly that threats to the United States are deterred, (b) eliminates or minimizes the danger to U.S. warfighters from foe or friendly fire, and (c) reduces training costs by more than an order-ofmagnitude through augmented reality and virtual reality teaching aids. Investment in convergent
Looking at Markov Samplers through Cusum Path Plots: a simple diagnostic idea
, 1994
"... In this paper, we propose to monitor a Markov chain sampler using the cusum path plot of a chosen 1-dimensional summary statistic. We argue that the cusum path plot can bring out, more effectively than the sequential plot, those aspects of a Markov sampler which tell the user how quickly or slowly t ..."
Abstract
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Cited by 22 (3 self)
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In this paper, we propose to monitor a Markov chain sampler using the cusum path plot of a chosen 1-dimensional summary statistic. We argue that the cusum path plot can bring out, more effectively than the sequential plot, those aspects of a Markov sampler which tell the user how quickly or slowly
Pediatric asthma management in the family context: The family asthma management system scale
- Journal of Pediatric Psychology
, 2005
"... Objective To examine psychometric properties of a revised version of the Family Asthma Management System Scale (FAMSS), a clinical interview to assess asthma management. Methods The FAMSS was administered to 115 children with asthma and their primary caregivers, along with a measure of asthma morbid ..."
Abstract
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Cited by 13 (4 self)
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morbidity. A subset of families (n = 53) participated also in objective-adherence monitoring and completed measures of asthma knowledge and self-efficacy. Results The FAMSS demonstrated good internal consistency (α =.84). The FAMSS summary score was unrelated to age, gender, race, or minority status
An A * -based EM Algorithm for Network Link Delay Distributions Inference
"... Summary Inference of network internal link characteristics has become an increasingly important issue for network monitor and network management. In this paper, an A * -based EM algorithm was proposed for network link delay distributions inference. We use A * algorithm to accelerate the convergence ..."
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Summary Inference of network internal link characteristics has become an increasingly important issue for network monitor and network management. In this paper, an A * -based EM algorithm was proposed for network link delay distributions inference. We use A * algorithm to accelerate
Umacs: A Universal Markov Chain Sampler
, 2006
"... Umacs (Universal Markov chain sampler) is an R software package that facilitates the construction of the Gibbs sampler and Metropolis algorithm for Bayesian inference. Umacs is a practical tool to write samplers in R. This is sometimes necessary for large problems that cannot be fit using programs l ..."
Abstract
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Cited by 5 (4 self)
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writes a customized R function that automatically updates, keeps track of Metropolis acceptances (and uses acceptance probabilities to tune the jumping kernels), monitors convergence, returns a summary of the results that can be coerced into random variable objects for further processing in R. Umacs
Results 1 - 10
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