1 citations · 1 across the 3 of their papers we have counts for
3 papers
Embedding Positive Process Models into Lognormal Bayesian State Space Frameworks using Moment Matching
John W. Smith, Leah R. Johnson, R. Quinn Thomas
In ecology it is common for processes to be bounded based on physical constraints of the system. One common example is the positivity constraint, which applies to phenomena such as…
Assessing Ecosystem State Space Models: Identifiability and Estimation
John W. Smith, Leah R. Johnson, Robert Q. Thomas
Bayesian methods are increasingly being applied to parameterize mechanistic process models used in environmental prediction and forecasting. In particular, models describing ecosys…
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling
Arka Daw, R. Quinn Thomas, Cayelan C. Carey +3
To simultaneously address the rising need of expressing uncertainties in deep learning models along with producing model outputs which are consistent with the known scientific know…