Bootstrap Confidence Regions for Learned Feature Embeddings
Author:
Affiliation:
1. Department of Statistics, University of Wisconsin - Madison, Madison, WI
2. Wisconsin Institute for Discovery, Madison, WI
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10618600.2023.2197478
Reference18 articles.
1. Superheat: An R Package for Creating Beautiful and Extendable Heatmaps for Visualizing Complex Data
2. Assessing Sample Variability in the Visualization Techniques Related to Principal Component Analysis: Bootstrap and Alternative Simulation Methods
3. Spatial and Spatio-Temporal Log-Gaussian Cox Processes: Extending the Geostatistical Paradigm
4. Confidence Regions for Projection Pursuit Density Estimates
5. Visualizing Higher-Layer Features of a Deep Network;Erhan D.;University of Montreal,2009
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