How ‘Neolabs’ Are Betting Against the OpenAI Model and What It Means for Founders

Here’s what the neolabs are building and why their approaches could unlock new opportunities and cost structures for startups ...
inc42

What Are Autoregressive Models? Here’s All You Need to Know

Autoregressive models are a statistical technique used to predict future values in a sequence based on its past values. It is essentially a fancy way of saying that it uses the past to predict the ...
Simon Fraser University

Autoregressive Error Model

The regression model with autocorrelated disturbances is as follows: In these equations, y t are the dependent values, x t is a column vector of regressor variables, is a column vector of structural ...
Risk

Large vector autoregressive exogenous factor (VARX) model with network regularization

The vector autoregressive model has long been used for portfolio analysis, while a recent extension (VARX) incorporates exogenous factors. Despite its increased forecasting precision, the ...
Investopedia

Understanding the GARCH Process: Key Uses in Financial Volatility

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Investopedia

Master ARIMA: Your Guide to Time Series Forecasting

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
BMJ Open

Impact of COVID-19 on the detection of tuberculosis in Guangdong, China based on the autoregressive integrated moving average model: a time-series study

Objective China has continued to improve tuberculosis (TB) control in the past decade; however, the sudden outbreak of ...