Krahasoni metodat

	Regresioni Bajesian	Regresioni logjistik
Fusha	Statistika bajesiane	Statistika e hulumtimit
Familja	Bayesian methods	Process / pipeline
Viti i origjinës	—	1958
Krijuesi	—	David Roxbee Cox
Lloji	Bayesian linear model	Method
Burimi themelues	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	Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242.
Emërtime të tjera	bayesian linear regression, probabilistic regression, bayesian regresyon	logit model, binomial logistic regression, LR
Të lidhura	2	3
Përmbledhja	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.	Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science.