Interpreting uninterpretable predictors: kernel methods, Shtarkov solutions, and random forests
From MaRDI portal
Publication:5880100
DOI10.1080/24754269.2021.1974157OpenAlexW3196899453MaRDI QIDQ5880100
Publication date: 7 March 2023
Published in: Statistical Theory and Related Fields (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/24754269.2021.1974157
Cites Work
- Information optimality and Bayesian modelling
- Bayesian inference with misspecified models
- Discussion on article ``Bayesian inference with misspecified models
- Bayesian sandwich posteriors for pseudo-true parameters
- Bayesian inference with misspecified models: inference about what?
- Multiply monotone functions and their Laplace transforms
- Horseshoes in multidimensional scaling and local kernel methods
- Prequential probability: principles and properties
- A decision-theoretic generalization of on-line learning and an application to boosting
- Using the Bayesian Shtarkov solution for predictions
- A Bayes interpretation of stacking for \(\mathcal{M}\)-complete and \(\mathcal{M}\)-open settings
- Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
- Stacked regressions
- On the interpretation of ensemble classifiers in terms of Bayes classifiers
- Some results on Tchebycheffian spline functions and stochastic processes
- Eigen-analysis of nonlinear PCA with polynomial kernels
- Present Position and Potential Developments: Some Personal Views: Statistical Theory: The Prequential Approach
- The Predictive Sample Reuse Method with Applications
- 10.1162/15324430152748236
- Asymptotic minimax regret for data compression, gambling, and prediction
- In praise of partially interpretable predictors
- The Bayesian Bridge
- Prediction, Learning, and Games
- Random forests
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
