Time-series data—measurements collected at regular intervals, like stock prices or traffic flows—has become a key driver of intelligent decision-making systems across industries. From medical ...

Abstract: The paper describes the use of Bayesian inference for stacking regression of different predictive models for time series. The models ARIMA, Neural Network, Random Forest, Extra Tree were ...

Courtesy of LSU Tigers Baseball. OMAHA, Neb. – The pairings and game times for the first two days of the 2025 NCAA Men’s College World Series (MCWS) have been announced. The 78th MCWS will take place ...

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Abstract: Multivariate time series data, which has more complex and multidimensional characteristics compared to univariate data, is used in fields such as urban transportation, power grids, and ...

We show boundedness in probability uniformly in sample size of a general M-estimator for multiple linear regression in time series. The positive criterion function for the M-estimator is assumed lower ...

ABSTRACT: In the contemporary world, energy is a very important factor for economic development, especially when a country is in the process of accelerating its economy into an industrialized one, as ...

ABSTRACT: This study investigates the impact of selected macroeconomic variables on economic growth in Nigeria using quarterly data spanning from 2000Q1 to 2022Q3. The methodology, anchored in the ...