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(Non) linear regression modeling [PDF]
We will study causal relationships of a known form between random variables. Given a model, we distinguish one or more dependent (endogenous) variables Y = (Y1,…,Yl), l ∈ N, which are explained by a model, and independent (exogenous, explanatory) variables X = (X1,…,Xp),p ∈ N, which explain or predict the dependent variables by means of the model. Such
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On Group Comparisons With Logistic Regression Models
Sociological Methods and Research, 2020Jouni Kuha, Colin Mills
exaly
Review of Regression Models and Advanced Regression Models
2020William P. Fox, William C. Bauldry
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Linking data to models: data regression
Nature Reviews Molecular Cell Biology, 2006Khuloud Jaqaman +2 more
exaly
Functional-Coefficient Regression Models for Nonlinear Time Series
Journal of the American Statistical Association, 2000Zongwu Cai, Jianqing Fan, Qiwei Yao
exaly
Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach
Journal of the American Statistical Association, 2012Mian Huang, Weixin Yao
exaly
Switching regression models and fuzzy clustering
IEEE Transactions on Fuzzy Systems, 1993R J Hathaway, J C Bezdek
exaly

