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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…
stat.ME2026
The partly parametric and partly nonparametric additive risk model
Nils Lid Hjort, Emil Aas Stoltenberg
Aalen's linear hazard rate regression model is a useful and increasingly popular alternative to Cox' multiplicative hazard rate model. It postulates that an individual has hazard r…