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bdfm
Bayesian dynamic factor model estimation and predictive statistics including nowcasting and forecasting
MIT License
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Reasons for prefering Bayesian over ML or PC
#80
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christophsax
opened
5 years ago
christophsax
commented
5 years ago
Reasons for usually preferring Bayesian over ML or PC
Support any kind of frequency mix
allows the inclusion of priors, i.e., you can give a certain series a larger weight
???
ML over the rest
For identical frequencies with no priors, it is faster?
PC over the rest
For large models of identical frequencies.
Reasons for usually preferring Bayesian over ML or PC
ML over the rest
PC over the rest