vector-autoregression topic

Time Series Forecasting for the M5 Competition

aldente0630

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting

nicholasjclark

Spatiotemporal datasets collected for network science, deep learning and general machine learning research.

benedekrozemberczki

Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural networks and hybrid model which is combination of VAR with LSTM

ritu-thombre99

Functions for Bayesian inference of vector autoregressive and vector error correction models

franzmohr

Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}

nicholasjclark

Bayesian Estimation of Structural Vector Autoregressive Models

bsvars