In fact the logic of
Bayesian Model Averaging goes completely counter to what you are proposing to do, since it is used to neutralize cherry - picking (or «model selection») bias in situations where researchers can pick from an extremely large number of models.
I find there's
Bayesian Model Averaging, but that's done based on reliability of each model.
In their February 2017 paper entitled «
Bayesian Model Averaging, Ordinary Least Squares and the Price of Gold», Dirk Baur and Brian Lucey analyze a large set of factors that potentially influence the price of gold via two methods: Ordinary Least Squares (OLS, scatter plot) and
Bayesian Model Averaging (BMA, accounting for model uncertainty).
Not exact matches
Tagged Amstrup,
average global temperature,
Bayesian models, BBC, climate change, Derocher, extinct, future climate, future population decline, global warming, polar bear, sea ice declines, sea ice
models
Univariate multilevel SDE
models, estimated in a
Bayesian framework, were fit to 21 days of ecological momentary assessments of affect valence and arousal (
average 6.93 / day, SD = 1.89) obtained from 150 adults (age 18 — 89 years)-- specifically capturing temporal dynamics of individuals» core affect in terms of attractor point, reactivity to biopsychosocial (BPS) inputs, and attractor strength.
Based on the results of our simulations, we can conclude that
Bayesian estimation of the multilevel TAR
model is feasible for the sample sizes under consideration, and yields accurate estimates of the
average inertias and threshold.