# 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} }

## 31 Citations

Total Odds and Other Objectives for Clustering via Multinomial-Logit Model

- MathematicsAdv. Data Sci. Adapt. Anal.
- 2012

The gradient of the total odds objective can be reduced to the multinomial-logit probabilities leading to a convenient Newton–Raphson clustering procedure presented via an iteratively re-weighted least squares technique.

Game theory in regression modeling: A brief review on Shapley Value regression

- BusinessModel Assisted Statistics and Applications
- 2021

The work describes developments in the multiple regression performed for building models resistant to multicollinearity, having meaningful robust solution for individual parameters, convenient for…

Logistic and multinomial-logit models: A brief review on their modifications and extensions

- PsychologyModel Assisted Statistics and Applications
- 2021

The work presents various techniques of the logistic and multinomial-logit modeling with their modifications. These methods are useful for regression modeling with a binary or categorical outcome,…

Predicting Average Cooperation in the Repeated Prisoner’s Dilemma

- Psychology
- 2021

We predict cooperation rates across treatments in the experimental play of the indefnitely repeated prisoner’s dilemma using simulations of a simple learning model. We suppose that learning and the…

Predicting Cooperation with Learning Models∗

- Psychology
- 2021

We use simulations of a simple learning model to predict how cooperation varies with treatment in the experimental play of the indefinitely repeated prisoner’s dilemma. We suppose that learning and…

Using Learning to Predict Average Cooperation∗

- Economics
- 2021

We predict cooperation rates across treatments in the experimental play of the indefinitely repeated prisoner’s dilemma using simulations of a simple learning model. We suppose that learning and the…

Learning about Initial Play Determines Average Cooperation in Repeated Games∗

- Economics
- 2020

We propose a simple learning model to predict cooperation rates across treatments in the experimental play of the indefinitely repeated prisoner’s dilemma. Using data from 28 treatments gathered from…

On Anomaly Interpretation via Shapley Values

- Computer Science, GeologyArXiv
- 2020

This paper focuses on the semi-supervised anomaly detection and newly proposes a characteristic function, on which the Shapley value is computed, specifically for anomaly scores, and examines the performance of the proposed method as well as other general approaches to computing the Shapleys value in interpreting anomaly scores.

Does Regression Approximate the Influence of the Covariates or Just Measurement Errors? A Model Validity Test

- Mathematics
- 2019

A criterion is proposed for testing hypothesis about the nature of the error variance in the dependent variable in linear model, which separates correctly and incorrectly specified models. In the…

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