merliseclyde/BAS: BAS 1.7.3
Merlise Clyde; Betsy Bersson; Don van den Bergh; akash raj; olivroy;
merliseclyde/BAS: BAS 1.7.3
BAS 1.7.3 introduces a new Independent Adaptive MCMC algorithm for bas.lm that can be used a proposal distribution for sampling models with replacement and estimation of posterior model probabilities via Importance sampling and Horvitz-Thomposon estimators and their Bayesian Finite Population estimators. See details in bas.lm with `method="AMCMC".
- Duke University United States
- University of Amsterdam Netherlands
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
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