The goal of a time series regression problem is best explained by a concrete example. Suppose you own an airline company and you want to predict the number of passengers you'll have next month based ...

If you have ever asked yourself why Google Translate has become much better at translating in recent years, the answer is because of artificial neural networks. Since November 2016, the company's ...

This paper describes the use of backpropagation artificial neural networks to forecast travel demand from disaggregate discrete choice data and compares them with logit models. Three data sets are ...

Bayesian approaches to the study of politics are increasingly popular. But Bayesian approaches to modeling multiple time series have not been critically evaluated. This is in spite of the potential ...