Venkata R Duvvuri, Mona Abdelrehim, Sonica Singhal
Socio-demographic predictors of not having private dental insurance coverage: machine-learning algorithms may help identify the disadvantaged
BMC public health
graduatelevel textbook deals analyzing forecasting multiple time series considers wide range multiple time series models methods models include vector autoregressive vector autoregressive moving average cointegrated periodic processes well state space dynamic simultaneous equations models least squares maximum likelihood bayesian methods considered estimating models different procedures model selection specification treated range tests criteria evaluating adequacy chosen model introduced choice point interval forecasts well innovation accounting presented tools structural analysis within multiple time series context