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stat.ME2025
Selective Inference in Graphical Models via Maximum Likelihood
Sofia Guglielmini, Gerda Claeskens, Snigdha Panigrahi
The graphical lasso is a widely used algorithm for fitting undirected Gaussian graphical models. However, for inference on functionals of edge values in the learned graph, standard…
stat.ME2025
The Effective Number of Parameters in Kernel Density Estimation
Sofia Guglielmini, Igor Volobouev, Alexandre Trindade
The quest for a formula that satisfactorily measures the effective degrees of freedom in kernel density estimation (KDE) is a long standing problem with few solutions. Starting fro…