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GLM og tælledata

23 metoder i denne familie.

Udvalgte

Aktiv læring med logistisk regressionActive Learning with Logistic Regression is an iterative label-efficient framework in which a logistic regression model selects the unlabeled examples it is most uncertain about, aAnalyse af differentiel itemfunktion (DIF)Differential Item Functioning analysis examines whether examinees from different groups — such as gender, ethnicity, or language background — who have the same underlying ability rEnsemble Logistisk RegressionEnsemble Logistic Regression trains multiple logistic regression classifiers on varied subsets or perturbations of the training data and combines their probability estimates by aveGamma-regression (GLM)Gamma regression is a generalized linear model that uses the gamma distribution to model a positive, right-skewed continuous outcome. Developed within the GLM framework of McCullagGeneraliseret Lineær Model (GLM)The Generalized Linear Model is a unified regression framework that extends ordinary linear regression to outcomes from the exponential family — including binary, count, proportionLogistisk regressionLogistic 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 p

Læsesti

Dette emnes mest refererede grundlæggende metoder, i den rækkefølge de blev udviklet — et godt sted at begynde, hvis du er ny her.

  1. Logistisk regression1958af David Roxbee Cox
  2. Logistisk regression (ML)1958af Cox, D. R.
  3. Online logistisk regression1960s (perceptron); formalized for logistic loss ~2000saf Rosenblatt, F. / Widrow, B. (perceptron era); modern SGD form: Bottou, L.
  4. Multinomisk logistisk regression1966–1974af Cox (1966); Theil (1969); formalized by McFadden (1974)
  5. Generaliseret Lineær Model (GLM)1972af John A. Nelder & Robert W. M. Wedderburn
  6. Ordinal logistisk regression1980af Peter McCullagh
  7. Nul-inflateret model1992af Diane Lambert
  8. Robust logistisk regression2001af Cantoni & Ronchetti (2001); Bondell (2008)
alle metoder på denne hylde ↓

Alle metoder 23

Aktiv læring med logistisk regressionAnalyse af differentiel itemfunktion (DIF)Ensemble Logistisk RegressionGamma-regression (GLM)Generaliseret Lineær Model (GLM)Logistisk regressionLogistisk regression (ML)Multinomisk logistisk regressionOnline logistisk regressionOrdinal logistisk regressionOrdinal logistisk regression (proportional odds-model)Robust generaliseret lineær modelRobust logistisk regressionRobust multinomial logistisk regressionRobust Negativ Binomial RegressionRobust Poisson RegressionRobust Probit ModelRobust nul-inflateret modelSelv-superviseret logistisk regressionSemi-supervised logistisk regressionNul-inflateret modelNul-inflateret Negativ Binomial (ZINB) RegressionZero-Inflateret Poisson (ZIP) Regression

Mere i Regression og GLM

Lineær og ikke-lineær regression 21Robuste og kvantilmetoder 18Regulariseret regression 12