An econometrics vector autoregression model (VAR) for analysis of multivariate time series of macroeconomics phenomena. Python Jupyter notebook based model is presented here although other packages ...

A model for cell lineage data is presented and analysed. The model is an extension of the classical first-order autoregression, used in time-series studies, to bifurcating data trees of general size ...

An econometrics vector autoregression model (VAR) for analysis of multivariate time series of macroeconomics phenomena. Python Jupyter notebook based model is presented here although other packages ...

Department of Mathematics, University of Bergen, Bergen, Norway This study evaluates the potential of applying echo state networks (ESN) and autoregression (AR) for dynamic time series prediction of ...

Vector autoregression (VAR) is a means of circumventing this problem. We explain the logic of this alternative modeling strategy and examine its relative virtues.

Finding the best vector autoregression model for any dataset, medical or otherwise, is a process that, to this day, is frequently performed manually in an iterative manner requiring a statistical ...

Entropy modeling plays an important role in estimating the rates of latent representations and optimizing the rate-distortion performance for learned image compression. Autoregression modules are ...