ScholarGate
Assistent

GLM & räknedata

23 metoder i denna familj.

I urval

Aktiv inlärning 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, aAnalys av differentiell item-funktion (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 McCullagGeneraliserad linjär modell (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

Läsväg

Det här ämnets mest refererade grundläggande metoder, i den ordning de utvecklades — en bra startpunkt om du är ny här.

  1. Logistisk regression1958av David Roxbee Cox
  2. Logistisk regression (ML)1958av Cox, D. R.
  3. Online logistisk regression1960s (perceptron); formalized for logistic loss ~2000sav Rosenblatt, F. / Widrow, B. (perceptron era); modern SGD form: Bottou, L.
  4. Multinomial logistisk regression1966–1974av Cox (1966); Theil (1969); formalized by McFadden (1974)
  5. Generaliserad linjär modell (GLM)1972av John A. Nelder & Robert W. M. Wedderburn
  6. Ordinal logistisk regression1980av Peter McCullagh
  7. Zero-inflaterad modell1992av Diane Lambert
  8. Robust logistisk regression2001av Cantoni & Ronchetti (2001); Bondell (2008)
alla metoder på den här hyllan ↓

Alla metoder 23

Aktiv inlärning med logistisk regressionAnalys av differentiell item-funktion (DIF)Ensemble logistisk regressionGamma-regression (GLM)Generaliserad linjär modell (GLM)Logistisk regressionLogistisk regression (ML)Multinomial logistisk regressionOnline logistisk regressionOrdinal logistisk regressionOrdinal logistisk regression (modellen med proportionella odds)Robust Generaliserad Linjär ModellRobust logistisk regressionRobust multinomial logistisk regressionRobust negativ binomialregressionRobust PoissonregressionRobust Probit-modellRobust modell för nollinflationSjälvövervakad logistisk regressionSemi-övervakad logistisk regressionZero-inflaterad modellZero-Inflated Negative Binomial (ZINB)-regressionZero-Inflated Poisson (ZIP)-regression

Mer i Regression och GLM

Linjär & icke-linjär regression 21Robusta metoder & kvantilregression 18Regulariserad regression 12