A modular Bayesian model with predictive stacking estimates how a spatially and temporally misaligned exposure relates to a block-level health outcome, demonstrated on California ozone and asthma emergency visits.
Unimodular metagravity vs. General Relativity with a scalar field
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
The unimodular metagravity, with the graviscalar as a dark matter, is compared with General Relativity (GR) in the presence of a scalar field. The effect of the graviscalar on the static spherically symmetric metric is studied. An exact limit solution representing a new cosmic object, the (harmonic) graviscalar black hole, is given. The relation with the black hole in the environment of a scalar field in GR is discussed.
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
A modular Bayesian model with predictive stacking estimates how a spatially and temporally misaligned exposure relates to a block-level health outcome, demonstrated on California ozone and asthma emergency visits.