Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation
Large Bayesian vector autoregressions with the natural conjugate prior are now routinely
used for forecasting and structural analysis. It has been shown that selecting the prior …
used for forecasting and structural analysis. It has been shown that selecting the prior …
Posterior Manifolds over Prior Parameter Regions: Beyond Pointwise Sensitivity Assessments for Posterior Statistics from MCMC Inference
Increases in the use of Bayesian inference in applied analysis, the complexity of estimated
models, and the popularity of efficient Markov chain Monte Carlo (MCMC) inference under …
models, and the popularity of efficient Markov chain Monte Carlo (MCMC) inference under …
[PDF][PDF] An analysis of vectorised automatic differentiation for statistical applications
Automatic differentiation (AD) is a general method of computing exact derivatives in complex
sensitivity analyses and optimisation routines in settings that lack closedform solutions, thus …
sensitivity analyses and optimisation routines in settings that lack closedform solutions, thus …