Search Results for author:
Found 3 papers, 1 papers with code
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies
Estimating the causal effects of a spatially-varying intervention on a spatially-varying outcome may be subject to non-local confounding (NLC), a phenomenon that can bias estimates when the treatments and outcomes of a given unit are dictated in part by the covariates of other nearby units.
The architecture of innovation: Tracking face-to-face interactions with ubicomp technologies
The layouts of the buildings we live in shape our everyday lives.
Computers and Society Human-Computer Interaction Social and Information Networks
Fully Bayesian inference for neural models with negative-binomial spiking
Characterizing the information carried by neural populations in the brain requires accurate statistical models of neural spike responses.
