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GitHub / shamik394 / Model-Weighting-Toolbox
My research at NASA-JPL as a Student Intern presents a unique climate change simulation toolbox that merges multiple climate models and observations using Pseudo-Bayesian Model Averaging (BMA) and other techniques. It allows researchers to select optimal model weights for accurate forecasts and flexibility in addressing various climatic inquiries.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shamik394%2FModel-Weighting-Toolbox
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 5.66 MB
Dependencies:
364
Created: 11 months ago
Updated: 6 months ago
Last pushed: 6 months ago
Last synced: 6 months ago
Topics: akaike-information-criterion, bayesian-model-averaging, the-sanderson-approach
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Dependencies
requirements.txt
pypi
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