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stat.ME2024★ 1 cited
Density regression via Dirichlet process mixtures of normal structured additive regression models
María Xosé Rodríguez-Álvarez, Vanda Inácio, Nadja Klein
Within Bayesian nonparametrics, dependent Dirichlet process mixture models provide a highly flexible approach for conducting inference about the conditional density function. Howev…
stat.ME2024
Bayesian Effect Selection in Additive Models with an Application to Time-to-Event Data
Paul Bach, Nadja Klein
Accurately selecting and estimating smooth functional effects in additive models with potentially many functions is a challenging task. We introduce a novel Demmler-Reinsch basis e…