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The American Statistician Volume 75, 2021 - Issue 4
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Statistical Computing and Graphics

Learning Hamiltonian Monte Carlo in R

Samuel ThomasDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, INView further author information
&
Wanzhu TuDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, INCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-4236-9135View further author information
ORCID Icon
Pages 403-413 | Received 29 Jun 2020, Accepted 12 Dec 2020, Published online: 31 Jan 2021

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Afrooz Shakoori, Muhyiddin Izadi & Baha-Eldin Khaledi. (2024) Copula based Bayesian data analysis of loss reserving. Communications in Statistics - Simulation and Computation 53:2, pages 727-743.
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Amin Roshani, Muhyiddin Izadi & Baha-Eldin Khaledi. (2023) Bayesian Poisson common factor model with overdispersion for mortality forecasting in multiple populations. Communications in Statistics - Simulation and Computation 0:0, pages 1-28.
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Sandrine Boulet, Moreno Ursino, Robin Michelet, Linda BS Aulin, Charlotte Kloft, Emmanuelle CometsSarah Zohar. (2024) Bayesian framework for multi-source data integration-Application to human extrapolation from preclinical studies. Statistical Methods in Medical Research 33:4, pages 574-588.
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Igor Martins & Hedibert Freitas Lopes. (2024) Stochastic Volatility Models with Skewness Selection. Entropy 26:2, pages 142.
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Marinho G. Andrade, Katiane S. Conceição & Nalini Ravishanker. (2023) Zero-modified count time series modeling with an application to influenza cases. AStA Advances in Statistical Analysis.
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Xynthia Kavelaars, Joris Mulder & Maurits Kaptein. (2023) Bayesian multilevel multivariate logistic regression for superiority decision-making under observable treatment heterogeneity. BMC Medical Research Methodology 23:1.
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Georgios Boumis, Hamed R. Moftakhari & Hamid Moradkhani. (2023) Storm surge hazard estimation along the US Gulf Coast: A Bayesian hierarchical approach. Coastal Engineering 185, pages 104371.
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A. Staneva & V. Stoimenova. Machine learning based parameter estimation of multitype branching processes. Machine learning based parameter estimation of multitype branching processes.
Chikezie Chimere Onyekwena, Qi Li, Happiness Ijeoma Umeobi, Xiaying Li & John N. Ng'ombe. (2022) Bayesian reliability-based prediction of the soil water retention curve using finite data. Expert Systems with Applications 203, pages 117550.
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Sangsung Park & Sunghae Jun. (2022) Cognitive Artificial Intelligence Using Bayesian Computing Based on Hybrid Monte Carlo Algorithm. Applied Sciences 12:18, pages 9270.
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Jinjing Shi, Wenxuan Wang, Xiaoping Lou, Shichao Zhang & Xuelong Li. (2022) Parameterized Hamiltonian Learning With Quantum Circuit. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1-10.
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Mahdi Rezapour & Khaled Ksaibati. (2021) Hamiltonian Monte Carlo with Random Effect for Analyzing Cyclist Crash Severity. Signals 2:3, pages 527-539.
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