Pages that link to "Item:Q4781100"
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The following pages link to Analysis of regression in game theory approach (Q4781100):
Displaying 25 items.
- Regression games (Q646653) (← links)
- Latent class regression model in IRLS approach (Q815330) (← links)
- Information importance of predictors: concept, measures, Bayesian inference, and applications (Q961433) (← links)
- Variance allocation and Shapley value (Q1617328) (← links)
- Wasserstein-based fairness interpretability framework for machine learning models (Q2102385) (← links)
- OnML: an ontology-based approach for interpretable machine learning (Q2168769) (← links)
- Cooperative games on simplicial complexes (Q2208366) (← links)
- Explaining predictive models using Shapley values and non-parametric vine copulas (Q2236381) (← links)
- Measuring the relevance of factors in the occurrences of events (Q2358159) (← links)
- Linear regression with special coefficient features attained via parameterization in exponential, logistic, and multinomial-logit forms (Q2390171) (← links)
- Linear Regression as a Non-cooperative Game (Q2937764) (← links)
- SURF — STRUCTURAL UNDUPLICATED REACH AND FREQUENCY: LATENT CLASS TURF AND SHAPLEY VALUE ANALYSES (Q3520410) (← links)
- Antagonistic and bargaining games in optimal marketing decisions (Q4928894) (← links)
- (Q5053199) (← links)
- Predictor relative importance and matching regression parameters (Q5130220) (← links)
- On the comparison of Shapley values for variance and standard deviation games (Q5152514) (← links)
- Do not adjust coefficients in Shapley value regression (Q5391302) (← links)
- A theory of dichotomous valuation with applications to variable selection (Q5861028) (← links)
- Causality Modeling and Statistical Generative Mechanisms (Q6104516) (← links)
- Tail variance allocation, Shapley value, and the majorization problem (Q6198966) (← links)
- On the failings of Shapley values for explainability (Q6577659) (← links)
- Efficient Shapley performance attribution for least-squares regression (Q6581692) (← links)
- Variable importance in regression models (Q6604448) (← links)
- A comparative study of methods for estimating model-agnostic Shapley value explanations (Q6609084) (← links)
- An illustration of model agnostic explainability methods applied to environmental data (Q6626539) (← links)
