Výsledky vyhľadávania - "MCMC algorithm"

MCMC Algorithm for Bayesian Heterogeneous Coefficients of Panel Data Model Autor Jaya, I G N M, Tantular, B, Zulhanif, Ruchjana, B N

“…Panel data models have been applied widely in many subject areas related to economic, social, and epidemiology. In some cases (e.g…”
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mBART: Multidimensional Monotone BART Autor Chipman, Hugh A., George, Edward I., McCulloch, Robert E., Shively, Thomas S.

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Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data Autor Li, Wenrui, Chang, Changgee, Kundu, Suprateek, Long, Qi

“… However, these methods typically use graphs extracted from existing databases or rely on subject matter expertise, which are known to be incomplete and may contain false edges…”
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Statistical inference for a repairable system subject to shocks: classical vs. Bayesian Autor Kamranfar, H., Etminan, J., Chahkandi, M.

“…Consider a repairable system subject to shocks that arrive according to a non-homogeneous Poisson process (NHPP…”
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Graph-Guided Bayesian Factor Model for Integrative Analysis of Multi-modal Data with Noisy Network Information Autor Li, Wenrui, Zhang, Qiyiwen, Qu, Kewen, Long, Qi

“… Moreover, these methods typically use graphs extracted from existing databases or rely on subject matter expertise which are known to be incomplete and may contain false edges…”
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Parametric Regression Approach for Gompertz Survival Times with Competing Risks Autor Rehman, H., Chandra, N.

“…Regression models play a vital role in the study of data regarding survival of subjects…”
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Bayesian Covariance Selection in Generalized Linear Mixed Models Autor Cai, Bo, Dunson, David B.

“…) to incorporate random effects characterizing heterogeneity among subjects, is widely used in analyzing correlated and longitudinal data…”
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Non-stationary spatio-temporal modeling of traffic-related pollutants in near-road environments Autor Gilani, Owais, Berrocal, Veronica J., Batterman, Stuart A.

“…' locations and subjects' actual residential locations. Several strategies have been adopted to circumvent this problem and estimate pollutants concentrations at unsampled…”
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DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs Autor Plassier, Vincent, Vono, Maxime, Durmus, Alain, Moulines, Eric

“… A workhorse class of methods to achieve this task are Markov chain Monte Carlo (MCMC) algorithms and their design to handle distributed datasets has been the subject of many works…”
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Semiparametric Bayesian Analysis of Survival Data Autor Sinha, Debajyoti, Dey, Dipak K.

“…This review article investigates the potential of Bayes methods for the analysis of survival data using semiparametric models based on either the hazard or the…”
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Parameter recovery of skew multidimensional multiple-group item response models (MGM-MIRT): a comparison of MCMC algorithms and assessment of effects of interest Autor Padilla G., Juan L., Azevedo, Caio L.N., Lachos, Victor H.

“…Multidimensional item response theory (MIRT) models are powerful tools to analyse item response data. Most of them rely on the assumption that the latent…”
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Hybrid Subset Simulation method for reliability estimation of dynamical systems subject to stochastic excitation Autor Ching, J., Beck, J.L., Au, S.K.

“…) algorithm and Subset Simulation with splitting. The new method employs the MCMC algorithm before reaching an intermediate failure level and splitting after reaching the level to exploit the causality of dynamical systems…”
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Conditional Spectral Analysis of Replicated Multiple Time Series With Application to Nocturnal Physiology Autor Krafty, Robert T., Rosen, Ori, Stoffer, David S., Buysse, Daniel J., Hall, Martica H.

“…This article considers the problem of analyzing associations between power spectra of multiple time series and cross-sectional outcomes when data are observed from multiple subjects…”
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Nonparametric Bayes subject to overidentified moment conditions Autor Gallant, A. Ronald

“… (Markov Chain Monte Carlo). This study proposes an effective MCMC algorithm and algorithms for estimating scale and the normalizing constant…”
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Cause-specific hazard regression estimation for modified Weibull distribution under a class of non-informative priors Autor Rehman, H., Chandra, N., Hosseini-Baharanchi, Fatemeh Sadat, Baghestani, Ahmad Reza, Pourhoseingholi, Mohamad Amin

“…In time to event analysis, the situation of competing risks arises when the individual (or subject…”
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Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling Autor Wang, Selena, Wang, Yiting, Xu, Frederick H., Shen, Li, Zhao, Yize

“…Brain structural connectivity, capturing the white matter fiber tracts among brain regions inferred by diffusion MRI (dMRI), provides a unique characterization…”
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Efficient Data Augmentation for Fitting Stochastic Epidemic Models to Prevalence Data Autor Fintzi, Jonathan, Cui, Xiang, Wakefield, Jon, Minin, Vladimir N.

“… We present a data augmentation Markov chain Monte Carlo (MCMC) framework for Bayesian estimation of stochastic epidemic model parameters, in which measurements are augmented with subject…”
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Identifiability Analysis Using Data Cloning Autor Sartori, Jose Augusto, Jr, Branco, Marcia D.'Elia

“… Keywords: * identifiability; data cloning; dynamic models; MCMC algorithms. AMS Subject Classification: * 62A99, 62F10…”
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A Structure Learning Algorithm for Bayesian Network Using Prior Knowledge Autor 徐俊刚 赵越 陈健 韩超

“…） algorithm and propose an algorithm called Constrained MCMC （C-MCMC） algorithm…”
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Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data Autor Guha, Sharmistha, Guhaniyogi, Rajarshi

“…This article focuses on model-based clustering of subjects based on the shared relationships of subject-specific networks and covariates in scenarios when there are differences in the relationship…”
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