Explore financial forecasting's importance in strategic decision-making, its methods, modern techniques, applications, and ...

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 ...

The properties of complete systems of linear regression equations, (in particular systems of the closed-loop and recursive type) are discussed in Part I, while least-square estimators and estimators ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 80, No. 5 (2018), pp. 975-993 (19 pages) Estimating conditional quantiles of financial time series is essential for ...

The predictive analytics market within the banking sector has been witnessing substantial growth in recent years, fueled by the increasing adoption of data-driven decision-making processes and the ...

1. Difference Equations -- 2. Lag Operators -- 3. Stationary ARMA Processes -- 4. Forecasting -- 5. Maximum Likelihood Estimation -- 6. Spectral Analysis -- 7 ...

Explainable predictive AI in Qlik Cloud lets teams model real-world drivers and update plans in-app with WriteTable for faster outcomes PHILADELPHIA--(BUSINESS WIRE)--October 30, 2025-- Qlik(R) , a ...

This is a guest post by Dr. Mingqi Li, an associate professor of economics at the University of Utah Abstract This paper examines the impact of oil price changes on global economic growth. Unlike some ...