martinaragoneses / bma
Routines for Bayesian Model Averaging.
☆33Updated 9 years ago
Alternatives and similar repositories for bma:
Users that are interested in bma are comparing it to the libraries listed below
- Bayesian Model Averaging in python - currently only support for Cox PH models☆26Updated 8 years ago
- Package implementing Convergent Cross Mapping for causality inference in dynamical systems☆46Updated last year
- Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.☆41Updated 2 years ago
- A Python library for vine copula models☆99Updated last month
- Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"☆44Updated 4 years ago
- Python code for implementing the 4DEnVar Data Assimilation method and examples of use☆11Updated 10 months ago
- A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…☆53Updated 7 years ago
- Bias correction method using quantile mapping☆14Updated last year
- Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied…☆91Updated 4 years ago
- A Python library for calculating and displaying the skill of model predictions against observations.☆207Updated last year
- Keras implementation for our paper "Improving AI system awareness of geoscience knowledge"☆15Updated 4 years ago
- Multivariate data modelling with Copulas in Python☆147Updated last month
- Python code to compute global teleconnections from rainfall data☆32Updated 11 months ago
- PyDA: A hands-on introduction to dynamical data assimilation with Python☆67Updated 4 years ago
- Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)☆56Updated 2 years ago
- Interpretive deep learning for identifying flooding mechanisms☆17Updated 8 months ago
- ☆12Updated 2 years ago
- Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.☆33Updated 2 years ago
- Forecast Verification/Validation Tools in Python☆34Updated last year
- framework for developing machine (and deep) learning models for structured data☆68Updated last week
- scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python☆43Updated 2 years ago
- Python package for early warning signals (EWS) of bifurcations in time series data.☆83Updated last week
- Code for the paper "A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning"☆33Updated 3 years ago
- Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannop…☆32Updated 5 years ago
- Tutorials on data assimilation (DA) and the EnKF☆153Updated 4 months ago
- ¡AnDA! is a Python library for the Analog Data Assimilation.☆28Updated 3 years ago
- Bayesian Change-Point Detection and Time Series Decomposition☆303Updated 6 months ago
- A collection of ensemble square root kalman filters implemented in Python☆13Updated 2 years ago
- ☆15Updated 5 years ago