Results 231 to 240 of about 168,901 (276)
Journal of Fish Biology, EarlyView.Abstract Two new species of whiptail catfish, Loricaria (Siluriformes: Loricariidae), were discovered in the Munim and Itapecuru river basins, Maranhão State, northeastern Brazil, through an integrative taxonomic approach combining morphology and mitochondrial DNA.
Ananda. C. Serejo‐Saraiva +4 more
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Classical criticality via quantum annealing. [PDF]
Nat CommunSathe P +5 more
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Modeling the effects of combination immunotherapy on triple-negative breast cancer in syngeneic mice from PET imaging of CD4+ and CD8+ cells. [PDF]
Math Med BiolSyme DJ +4 more
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Computationally efficient Bayesian inference for semi-parametric joint models of competing risks survival and skewed longitudinal data using integrated nested Laplace approximation. [PDF]
BMC Med Res MethodolFerede MM, Nakhaei Rad N, Chen DG.
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Spatial joint modelling of multivariate longitudinal outcomes and cure proportion using latent Gaussian model with application to dataset on HIV/AIDS patients. [PDF]
Sci RepEkong AH +3 more
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How to apply Bayesian stochastic search variable selection with multiply imputed data. [PDF]
Psychol MethodsBainter SA, Mao Z, Rao JS.
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SPE EUROPEC/EAGE Annual Conference and Exhibition, 2010
Abstract The ensemble Kalman filter (EnKF) has recently become a popular history-matching tool largely because of its computational efficiency and ease of implementation. While EnKF has improved a previous history match obtained manually in several field cases, and often appears to give reasonable results for realistic synthetic history ...
Alexandre A. Emerick, Albert C. Reynolds
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Abstract The ensemble Kalman filter (EnKF) has recently become a popular history-matching tool largely because of its computational efficiency and ease of implementation. While EnKF has improved a previous history match obtained manually in several field cases, and often appears to give reasonable results for realistic synthetic history ...
Alexandre A. Emerick, Albert C. Reynolds
openaire +1 more source
Statistics and Computing, 2006
We propose to combine two quite powerful ideas that have recently appeared in the Markov chain Monte Carlo literature: adaptive Metropolis samplers and delayed rejection. The ergodicity of the resulting non-Markovian sampler is proved, and the efficiency of the combination is demonstrated with various examples.
H. HAARIO +3 more
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We propose to combine two quite powerful ideas that have recently appeared in the Markov chain Monte Carlo literature: adaptive Metropolis samplers and delayed rejection. The ergodicity of the resulting non-Markovian sampler is proved, and the efficiency of the combination is demonstrated with various examples.
H. HAARIO +3 more
openaire +3 more sources
2019
Abstract The purpose of this chapter is to illustrate some of the things that can go wrong in Markov Chain Monte Carlo (MCMC) analysis and to introduce some diagnostic tools that help identify whether the results of such an analysis can be trusted.
Therese M. Donovan, Ruth M. Mickey
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Abstract The purpose of this chapter is to illustrate some of the things that can go wrong in Markov Chain Monte Carlo (MCMC) analysis and to introduce some diagnostic tools that help identify whether the results of such an analysis can be trusted.
Therese M. Donovan, Ruth M. Mickey
openaire +1 more source