Learn how ARIMA models use time series data for accurate short-term forecasting. Discover its pros, cons, and essential tips ...

This is the twelfth in a series of lecture notes which, if tied together into a textbook, might be entitled “Practical Regression.” The purpose of the notes is to supplement the theoretical content of ...

Moreover, regression methods for categorical time series allow for parsimonious modeling and incorporation of random time-dependent covariates as opposed to other procedures. In particular, nominal ...

Time series graphs are intuitive, helping you relate a metric to time.

This type of regression analysis is sometimes called time series regression since the observations, or records, used for regression are sampled through time.

We propose a new bias-corrected spline-kernel estimator and a smooth simultaneous confidence band (SCB) as a global inference tool for the conditional variance function in a nonparametric regression ...

Summer short courses are designed to enhance the elective offerings available to IAD students, and for students in related programs at UB. These ‘bite-size’ courses are designed to: Equip students ...