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07/13/2023
Deep Neural Networks for Semiparametric Frailty Models via H-likelihood
For prediction of clustered time-to-event data, we propose a new deep ne...
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06/27/2023
Triply robust estimation under missing at random
Missing data is frequently encountered in many areas of statistics. Impu...
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07/20/2022
Maximum Likelihood Imputation
Maximum likelihood (ML) estimation is widely used in statistics. The h-l...
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07/20/2022
Enhanced Laplace Approximation
The Laplace approximation (LA) has been proposed as a method for approxi...
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12/23/2021
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
Unsupervised video object segmentation (UVOS) is a per-pixel binary labe...
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10/28/2021
On rereading Savage
If we accept Savage's set of axioms, then all uncertainties must be trea...
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04/30/2021
