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Likelihood-free inference via classification
Increasingly complex generative models are being used across disciplines as they allow for realistic characterization of data, but a common difficulty with them is the prohibitively large computational cost to evaluate the likelihood function and thus to perform likelihood-based statistical inferenc...
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| I publikationen: | Stat Comput |
|---|---|
| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Springer US
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6956883/ https://ncbi.nlm.nih.gov/pubmed/31997856 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11222-017-9738-6 |
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