| lavinei/pybats |
85 |
|
0 |
0 |
almost 3 years ago |
5 |
August 01, 2021 |
8 |
apache-2.0 |
Jupyter Notebook |
| Bayesian time series forecasting and decision analysis |
| nk027/bvar |
39 |
|
0 |
1 |
almost 3 years ago |
10 |
March 08, 2023 |
14 |
other |
R |
| Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results. |
| ineswilms/bigtime |
27 |
|
0 |
1 |
over 2 years ago |
5 |
August 21, 2023 |
2 |
|
HTML |
| Sparse estimation of large time series models |
| mboeck11/BGVAR |
22 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
gpl-3.0 |
TeX |
| Toolbox for the estimation of Bayesian Global Vector Autoregressions in R. |
| jtelszasz/my_energy_forecast_SVR |
13 |
|
0 |
0 |
over 10 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Using my smart meter electricity data from Baltimore Gas and Electric to forecast my energy demand using support vector regression. |
| joergrieger/bvars |
9 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
R |
| R package for Bayesian Vector Autoregression |
| sw897/Marine_Forecast_WebGIS |
7 |
|
0 |
0 |
almost 12 years ago |
0 |
|
0 |
|
JavaScript |
| Marine Forecast WebGIS |
