Research graph
References from Separable Shadow Hamiltonian Hybrid Monte Carlo for Bayesian Neural Network Inference in wind speed forecasting. Local targets link to admitted publications; unresolved targets remain external evidence.
Historic paris agreement on climate change
2015 · External reference
Bayesian neural networks for one-hour ahead wind power forecasting
2017 · External reference
Predicting the wind
10.1109/mpe.2007.906306 · 2007 · External reference
Unresolved reference
2017 · External reference
Very short-term wind forecasting for tasmanian power generation
10.1109/tpwrs.2006.873421 · 2006 · External reference
10.1109/icbda.2017.8078694
10.1109/icbda.2017.8078694 · External reference
Short-term wind power forecasting using artificial neural networks for resource scheduling in microgrids
2016 · External reference
Using radial basis neural networks to estimate wind power production
2007 · External reference
Data mining for wind power forecasting
2008 · External reference
Short-term wind speed forecasting using statistical and machine learning methods
10.3390/a13060132 · 2020 · External reference
Bayesian automatic relevance determination for feature selection in credit default modelling
2019 · External reference
Hybrid monte carlo
10.1016/0370-2693(87)91197-x · 1987 · External reference
The no-u-turn sampler: adaptively setting path lengths in hamiltonian monte carlo
2014 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Automatic differentiation in machine learning: A survey
2017 · External reference
Practical construction of modified hamiltonians
10.1137/s106482750138318x · 2001 · External reference
Backward error analysis for multistep methods
10.1007/s002110050469 · 1999 · External reference
Shadow hybrid monte carlo: An efficient propagator in phase space of macromolecules
10.1016/j.jcp.2004.04.016 · 2004 · External reference
Finite element model updating using the shadow hybrid monte carlo technique
10.1016/j.ymssp.2014.06.005 · 2015 · External reference
The targeted shadowing hybrid monte carlo (tshmc) method
2006 · External reference
Modified hamiltonian monte carlo for bayesian inference
10.1007/s11222-019-09885-x · 2020 · External reference
A separable shadow hamiltonian hybrid monte carlo method
10.1063/1.3253687 · 2009 · External reference
Unresolved reference
2013 · External reference
Approximation by superpositions of a sigmoidal function
10.1007/bf02551274 · 1989 · External reference
Unresolved reference
2015 · External reference
Unresolved reference
2016 · External reference
Probable networks and plausible predictions—A review of practical bayesian methods for supervised neural networks
10.1088/0954-898x_6_3_011 · 1995 · External reference
A practical bayesian framework for backpropagation networks
10.1162/neco.1992.4.3.448 · 1992 · External reference
Unresolved reference
2006 · External reference
Unresolved reference
2017 · External reference
Unresolved reference
2011 · External reference
Unresolved reference
2012 · External reference
Bayesian learning via stochastic dynamics
1993 · External reference
Unresolved reference
2015 · External reference
Unresolved reference
2019 · External reference
Mcmc using hamiltonian dynamics
2011 · External reference
Bayesian inference of covid-19 spreading rates in South Africa
10.1371/journal.pone.0237126 · 2020 · External reference
Antithetic magnetic and shadow hamiltonian monte carlo
10.1109/access.2021.3069196 · 2021 · External reference
Unresolved reference
1989 · External reference
Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data
10.1186/s12911-017-0434-4 · 2017 · External reference
Indicator selection with committee decision of filter methods for stock market price trend in ise
10.1016/j.asoc.2016.09.004 · 2016 · External reference
A tutorial on adaptive mcmc
10.1007/s11222-008-9110-y · 2008 · External reference
Mesoscale modeling for the wind atlas of south africa (wasa) project
2014 · External reference
Ensemble learning or deep learning? application to default risk analysis
10.3390/jrfm11010012 · 2018 · External reference
Comparison of three methods for short-term wind power forecasting
2018 · External reference
Multivariate output analysis for Markov chain Monte Carlo
10.1093/biomet/asz002 · 2019 · External reference
Where do winds come from? a new theory on how water vapor condensation influences atmospheric pressure and dynamics
10.5194/acp-13-1039-2013 · 2013 · External reference
Unresolved reference
2001 · External reference
