3 papers
stat.ME2026
Posterior uncertainty for kernel density estimates
Dennis Christensen, Torjus Svardal, Leiv Rønneberg +1
Recent work in predictive Bayesian inference has enabled novel Bayesian interpretations of many well-known stochastic one-step-ahead predictive algorithms. In this paper, we study…
cs.AI2026
Computing Conditional Shapley Values Using Tabular Foundation Models
Lars Henry Berge Olsen, Dennis Christensen
Shapley values have become a cornerstone of explainable AI, but they are computationally expensive to use, especially when features are dependent. Evaluating them requires approxim…
stat.ME2025
Random irregular histograms
Oskar Høgberg Simensen, Dennis Christensen, Nils Lid Hjort
We propose a new method of histogram construction, providing a fully Bayesian approach to irregular histograms. Our procedure applies Bayesian model selection to a piecewise consta…