This article considers testing for first-order moving average against first-order autoregressive disturbances in the linear-regression model. Tests investigated include approximate point-optimal ...
Model Selection Under Nonstationarity: Autoregressive Models and Stochastic Linear Regression Models
We give sufficient conditions for strong consistency of estimators for the order of general nonstationary autoregressive models based on the minimization of an ...
Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...
The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict an employee's bank account balance based on age, height, annual income, ...
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