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Modified Hamiltonian Monte Carlo for Bayesian Inference 

Radivojevic, T.; Akhmatskaya, E.Autoridad BCAM (2019-07-22)
The Hamiltonian Monte Carlo (HMC) method has been recognized as a powerful sampling tool in computational statistics. We show that performance of HMC can be significantly improved by incorporating importance sampling and ...
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Adaptive Splitting Integrators for Enhancing Sampling Efficiency of Modified Hamiltonian Monte Carlo Methods in Molecular Simulation 

Akhmatskaya, E.Autoridad BCAM; Fernández-Pendás, M.; Radivojevic, T.; Sanz-Serna, J.M. (2017-10-24)
The modified Hamiltonian Monte Carlo (MHMC) methods, i.e., importance sampling methods that use modified Hamiltonians within a Hybrid Monte Carlo (HMC) framework, often outperform in sampling efficiency standard techniques ...

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Author
Akhmatskaya, E. (2)
Radivojevic, T. (2)Fernández-Pendás, M. (1)Sanz-Serna, J.M. (1)Subject
importance sampling (2)
modified Hamiltonians (2)
Bayesian inference (1)Hamiltonian Monte Carlo (1)Hybrid Monte Carlo (1)Markov chain Monte Carlo (1)molecular dynamics (1)numerical integrators (1)... másFecha2019 (1)2017 (1)

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