Simon Fraser University

Preliminary Autoregressive Models

After computing the sample autocovariance matrices, PROC STATESPACE fits a sequence of vector autoregressive models. These preliminary autoregressive models are used to estimate the autoregressive ...
Risk

Decomposing supply shocks in the US electricity industry: evidence from a time-varying Bayesian panel vector autoregression model

This paper investigates spillovers between electricity supply shocks and US growth, using monthly data from forty-eight US states from January 2001 to September 2016, and employs a novel strategy for ...
JSTOR Daily

A Fast Algorithm for the Exact Likelihood of Stationary and Partially Nonstationary Vector Autoregressive-Moving Average Processes

This is a preview. Log in through your library . Abstract An expression for the likelihood function of a stationary vector autoregressive-moving average process is developed. The expression is very ...
Forbes

Beyond Autoregression: A New Model For Text Generation

Every time a language model like GPT-4, Claude or Mistral generates a sentence, it does something deceptively simple: It picks one word at a time. This word-by-word approach is what gives ...
Simon Fraser University

Autoregressive Moving Average Error Processes

A model with first-order autoregressive errors, AR(1), has the form while an AR(2) error process has the form and so forth for higher-order processes. Note that the ...