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7 papers · 2 filters
Treed distributed lag nonlinear models
Daniel Mork, Ander Wilson
In studies of maternal exposure to air pollution a children's health outcome is regressed on exposures observed during pregnancy. The distributed lag nonlinear model (DLNM) is a st…
A Framework for Causal Discovery in non-intervenable systems
Peter Jan van Leeuwen, Michael DeCaria, Nachiketa Chakaborty +1
Many frameworks exist to infer cause and effect relations in complex nonlinear systems but a complete theory is lacking. A new framework is presented that is fully nonlinear, provi…
A Bayesian Time-Varying Effect Model for Behavioral mHealth Data
Matthew D. Koslovsky, Emily T. Hebert, Michael S. Businelle +1
The integration of mobile health (mHealth) devices into behavioral health research has fundamentally changed the way researchers and interventionalists are able to collect data as…
Ensemble Riemannian Data Assimilation over the Wasserstein Space
Sagar K. Tamang, Ardeshir Ebtehaj, Peter J. Van Leeuwen +2
In this paper, we present an ensemble data assimilation paradigm over a Riemannian manifold equipped with the Wasserstein metric. Unlike the Eulerian penalization of error in the E…
Wasserstein Autoregressive Models for Density Time Series
Chao Zhang, Piotr Kokoszka, Alexander Petersen
Data consisting of time-indexed distributions of cross-sectional or intraday returns have been extensively studied in finance, and provide one example in which the data atoms consi…
MUCE: Bayesian Hierarchical Modeling for the Design and Analysis of Phase 1b Multiple Expansion Cohort Trials
Jiaying Lyu, Tianjian Zhou, Shijie Yuan +2
We propose a multiple cohort expansion (MUCE) approach as a design or analysis method for phase 1b multiple expansion cohort trials, which are novel first-in-human studies conducte…