Bayesian Analysis of Exponential Random Graph Models Using Stochastic Gradient Markov Chain Monte Carlo. [PDF]
Bayesian AnalZhang Q, Liang F.
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Copula-based markov chain logistic regression modeling on binomial time series data. [PDF]
MethodsXNovianti P, Gunardi, Rosadi D.
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Markov chain-based impact analysis of the pandemic Covid-19 outbreak on global primary energy consumption mix. [PDF]
Sci RepAhmad H +5 more
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Gradient boosting: A computationally efficient alternative to Markov chain Monte Carlo sampling for fitting large Bayesian spatio-temporal binomial regression models. [PDF]
Infect Dis ModelHuang R +5 more
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Author Correction: Markov chain-based impact analysis of the pandemic Covid-19 outbreak on global primary energy consumption mix. [PDF]
Sci RepAhmad H +5 more
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Spatio-temporal evolution and driving factors of green innovation efficiency in the Chinese urban tourism industry based on spatial Markov chain. [PDF]
Sci RepLiao Z, Liang S, Wang X.
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Nested Markov chain hyper-heuristic (NMHH): a hybrid hyper-heuristic framework for single-objective continuous problems. [PDF]
PeerJ Comput SciBándi N, Gaskó N.
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Predicting Colloidal Interaction Parameters from Small-Angle X-ray Scattering Curves Using Artificial Neural Networks and Markov Chain Monte Carlo Sampling. [PDF]
JACS AuWong K +5 more
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Application of a Multi-Layer Perceptron and Markov Chain Analysis-Based Hybrid Approach for Predicting and Monitoring LULCC Patterns Using Random Forest Classification in Jhelum District, Punjab, Pakistan. [PDF]
Sensors (Basel)Aftab B, Wang Z, Wang S, Feng Z.
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