Entropy Criterion In Logistic Regression And Shapley Value Of Predictors

@article{Lipovetsky2006EntropyCI,
  title={Entropy Criterion In Logistic Regression And Shapley Value Of Predictors},
  author={Stan Lipovetsky},
  journal={Journal of Modern Applied Statistical Methods},
  year={2006},
  volume={5},
  pages={9}
}
  • S. Lipovetsky
  • Published 1 May 2006
  • Mathematics
  • Journal of Modern Applied Statistical Methods

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References

SHOWING 1-10 OF 28 REFERENCES
The Entropy Vector:Connecting Science and Business
How do managers and entrepreneurs evaluate risk, encourage creativity or manage change? Might a better grasp of science help? The authors of this book suggest that there is real value in trying to
17. A Value for n-Person Games
Regression Models for Categorical and Limited Dependent Variables
Introduction Continuous Outcomes Binary Outcomes Testing and Fit Ordinal Outcomes Nominal Outcomes Limited Outcomes Count Outcomes Conclusions
Generalized Additive Models
  • 1990
A primer of multivariate statistics
Contents: Preface. The Forest Before the Trees. Multiple Regression: Predicting One Variable From Many. Hotelling's T2: Tests on One or Two Mean Vectors. Multivariate Analysis of Variance:
On a Measure of the Information Provided by an Experiment
Incremental net effects in multiple regression
A regular problem in regression analysis is estimating the comparative importance of the predictors in the model. This work considers the ‘net effects’, or shares of the predictors in the coefficient
Game Theory: Mathematical Models of Conflict
The name of the game Non-co-operative games Linear programming and matrix games Co-operative games Bargaining models Appendix I: Fixed point theorems Appendix II: Some poker terminology Solutions to
Analysis of regression in game theory approach
Working with multiple regression analysis a researcher usually wants to know a comparative importance of predictors in the model. However, the analysis can be made difficult because of
Handbook of statistical modeling for the social and behavioral sciences
TLDR
Casual Inference in the Social and Behavioral Sciences: The Analysis of Contingency Tables and Latent Class Models.
...
...