7 citations · 10 across the 5 of their papers we have counts for
5 papers
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones
Oliver Y. Chén, Florian Lipsmeier, Huy Phan +5
Personalized longitudinal disease assessment is central to quickly diagnosing, appropriately managing, and optimally adapting the therapeutic strategy of multiple sclerosis (MS). I…
Regularized joint mixture models
Konstantinos Perrakis, Thomas Lartigue, Frank Dondelinger +1
Regularized regression models are well studied and, under appropriate conditions, offer fast and statistically interpretable results. However, large data in many applications are h…
Model-based clustering in very high dimensions via adaptive projections
Bernd Taschler, Frank Dondelinger, Sach Mukherjee
Mixture models are a standard approach to dealing with heterogeneous data with non-i.i.d. structure. However, when the dimension is large relative to sample size and where…
High-dimensional regression over disease subgroups
Frank Dondelinger, Sach Mukherjee, The Alzheimer's Disease Neuroimaging Initiative
We consider high-dimensional regression over subgroups of observations. Our work is motivated by biomedical problems, where disease subtypes, for example, may differ with respect t…
Causal network inference using biochemical kinetics
C. J. Oates, F. Dondelinger, N. Bayani +3
Network models are widely used as structural summaries of biochemical systems. Statistical estimation of networks is usually based on linear or discrete models. However, the dynami…