DREAM Applications

DREAM Suite Applications

Bayesian inference has found application in a wide range of activities, including science, engineering, philosophy, medicine, economy, sport and law. The list below contains just selected existing applications of DREAM Suite (or, more precisely, applications based on algorithms implemented in DREAM Suite). Some of these applications are included in the DREAM Suite package as demo examples.

Hydrology and Geosciences

1. Surface hydrology: Uncertainty quantification of rainfall-runoff models
2. Surface hydrology: Rainfall estimation from discharge data
3. Surface hydrology: Development of new likelihood functions to represent non-traditional error residual distributions
4. Surface hydrology: Bayesian model averaging and data assimilation
5. Surface hydrology: Quantification of all sources of uncertainty
6. Hydrology: Interception modeling of rainfall water
7. Hydrology: Informal and formal Bayesian approaches
8. Hydrology: Three-dimensional integrated modeling
9. Hydrogeology: High-dimensional Bayesian inference of groundwater models using surrogates and two-stage MCMC simulation
10. Hydrogeology: Uncertainty quantification of high-dimensional calibration of hydrogeologic models
11. Hydrogeophysics: Inference of three dimensional tracer distribution
12. Hydrogeophysics: Coupled inversion using treatment of hydrologic and geophysical model and parameter uncertainties
13. Geophysics: Probabilistic inference of distributed soil moisture values from first-arrival travel time data
14. Geomorphology: Modeling of the depth to bedrock [link to come - paper almost published]
15. Soil physics: Uncertainty quantification of laboratory outflow experiments
16. Groundwater hydrology: Bayesian credible intervals for uncertainty quantification
17. Soil hydrology: Bayesian model averaging using forecast ensembles of soil hydrologic models
18. Snow hydrology: Regionalization and treatment of parameter uncertainty of SNOW17 model of National Weather Service
19. Geostatistics: Spatial uncertainty quantification

Chemistry

1. Chemistry: Phase segregation
2. Chemistry: Neutron reflectometry
3. Chemistry: Inverse modeling of cloud-aerosol interactions
4. Chemistry: Solid Electrolyte Interphase in Li-Ion Batteries

Biosciences, Agriculture and Ecology

1. Biology: Mortality of self-propelled microorganimsms
2. Biogeosciences: Analysis of information content of data
3. Epidemiology: Modeling cholera epidemics
4. Plant science: Turnover of fine-roots
5. Crop modeling: Uncertainty quantification of crop models
6. Ecology: Carbon isotope discrimination
7. Ecology: Leaf metabolism
8. Ecohydrology: Optimality hypothesis

Other Sciences

1. Structural engineering: Detection of structure defects and/or voids in concrete buildings [link to come very soon]
2. Physics: Electron spin resonance
3. Physics: Hydrogenation and dehydrogenation of a thin film
4. Likelihood free model inference
5. Diagnostic model evaluation using summary metrics
6. Data assimilation: Particle DREAM
7. Formal and informal likelihood functions
8. Ensemble Bayesian model averaging
9. Stationarity/nonstationarity paradigm: Likelihood free inference using summary metrics
10. Economy: Inference of structural breaks in financial time series
11. Psychology: Hypothesis testing