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02/15/2022
Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods
When modeling longitudinal biomedical data, often dimensionality reducti...
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05/14/2021
Adapting deep generative approaches for getting synthetic data with realistic marginal distributions
Synthetic data generation is of great interest in diverse applications, ...
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12/07/2020
Using Differentiable Programming for Flexible Statistical Modeling
Differentiable programming has recently received much interest as a para...
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12/01/2020
Deep dynamic modeling with just two time points: Can we still allow for individual trajectories?
Longitudinal biomedical data are often characterized by a sparse time gr...
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09/13/2020
Is there a role for statistics in artificial intelligence?
The research on and application of artificial intelligence (AI) has trig...
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07/04/2020
Transfer learning of regression models from a sequence of datasets by penalized estimation
Transfer learning refers to the promising idea of initializing model fit...
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05/13/2020
The JuliaConnectoR: a functionally oriented interface for integrating Julia in R
Like many groups considering the new programming language Julia, we face...
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03/11/2020
Deep generative models in DataSHIELD
The best way to calculate statistics from medical data is to use the dat...
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09/27/2019
Netboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington's disease
Background: State-of-the art selection methods fail to identify weak but...
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07/01/2019
State-of-the-art in selection of variables and functional forms in multivariable analysis -- outstanding issues
How to select variables and identify functional forms for continuous var...
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03/01/2018
Distributed multivariable modeling for signature development under data protection constraints
Data protection constraints frequently require distributed analysis of d...
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02/28/2018
