Elicitation for sets of probabilities and distributions (2025)
- Authors:
- Autor USP: STERN, RAFAEL BASSI - IME
- Unidade: IME
- Assunto: DISTRIBUIÇÕES (PROBABILIDADE)
- Language: Inglês
- Imprenta:
- Publisher: MLResearch Press
- Publisher place: Cambridge
- Date published: 2025
- Source:
- Título: Proceedings of Machine Learning Research PMLR
- ISSN: 2640-3498
- Volume/Número/Paginação/Ano: v. 290, p. 242-251, 2025
- Conference titles: International Symposium on Imprecise Probabilities: Theories and Applications - ISIPTA 2025
-
ABNT
SCHERVISH, Mark J. et al. Elicitation for sets of probabilities and distributions. Proceedings of Machine Learning Research PMLR. Cambridge: MLResearch Press. Disponível em: https://proceedings.mlr.press/v290/schervish25a.html. Acesso em: 27 dez. 2025. , 2025 -
APA
Schervish, M. J., Seidenfeld, T., Gong, R., Kadane, J. B., & Stern, R. B. (2025). Elicitation for sets of probabilities and distributions. Proceedings of Machine Learning Research PMLR. Cambridge: MLResearch Press. Recuperado de https://proceedings.mlr.press/v290/schervish25a.html -
NLM
Schervish MJ, Seidenfeld T, Gong R, Kadane JB, Stern RB. Elicitation for sets of probabilities and distributions [Internet]. Proceedings of Machine Learning Research PMLR. 2025 ; 290 242-251.[citado 2025 dez. 27 ] Available from: https://proceedings.mlr.press/v290/schervish25a.html -
Vancouver
Schervish MJ, Seidenfeld T, Gong R, Kadane JB, Stern RB. Elicitation for sets of probabilities and distributions [Internet]. Proceedings of Machine Learning Research PMLR. 2025 ; 290 242-251.[citado 2025 dez. 27 ] Available from: https://proceedings.mlr.press/v290/schervish25a.html - Adding imprecision to hypotheses: a Bayesian framework for testing practical significance in nonparametric settings
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