Methoden vergleichen
Prüfen Sie die ausgewählten Methoden nebeneinander; abweichende Zeilen sind hervorgehoben.
| Bayes'sche Regression× | Multinomiale Logistische Regression× | |
|---|---|---|
| Fachgebiet≠ | Bayes-Statistik | Ökonometrie |
| Familie≠ | Bayesian methods | Regression model |
| Entstehungsjahr≠ | — | 1974 |
| Urheber≠ | — | McFadden |
| Typ≠ | Bayesian linear model | Multinomial logistic regression |
| Wegweisende Quelle≠ | Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A. & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955 | McFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press. ISBN: 978-0127761503 |
| Aliasnamen≠ | bayesian linear regression, probabilistic regression, bayesian regresyon | multinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyon |
| Verwandt≠ | 2 | 5 |
| Zusammenfassung≠ | Bayesian regression is a probabilistic version of linear regression that treats the model parameters as uncertain quantities. Instead of returning a single best-fit estimate, it combines prior knowledge with the observed data to produce a full posterior probability distribution for each parameter, from which credible intervals and predictions are read off. | Multinomial logistic regression is a maximum-likelihood method for a nominal (unordered) dependent variable with more than two categories. Building on McFadden's 1974 treatment of qualitative choice, it gives each category its own set of coefficients relative to a reference category. |
| ScholarGateDatensatz ↗ |
|
|