TIME SERIES EVIDENCE ON EDUCATION AND ECONOMIC GROWTH IN INDONESIA

Art�culos similares

Forecasting Selected Commodities? Prices with the Bayesian Symbolic Regression

Acceso

Krzysztof Drachal and Michal Pawlowski

This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of numerous commodities? prices (spot-based ones). Moreover, some features and an initial specification of the parameters of the BSR were analysed. The conventional approa... ver m�s

Revista: International Journal of Financial Studies

Predictive Analytics of Air Temperature in Alaskan Permafrost Terrain Leveraging Two-Level Signal Decomposition and Deep Learning

Acceso

Aymane Ahajjam, Jaakko Putkonen, Emmanuel Chukwuemeka, Robert Chance and Timothy J. Pasch

Local weather forecasts in the Arctic outside of settlements are challenging due to the dearth of ground-level observation stations and high computational costs. During winter, these forecasts are critical to help prepare for potentially hazardous weathe... ver m�s

Revista: Forecasting

Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions

Acceso

Konstantinos P. Fourkiotis and Athanasios Tsadiras

In today?s evolving global world, the pharmaceutical sector faces an emerging challenge, which is the rapid surge of the global population and the consequent growth in drug production demands. Recognizing this, our study explores the urgent need to stren... ver m�s

Revista: Forecasting

State-Dependent Model Based on Singular Spectrum Analysis Vector for Modeling Structural Breaks: Forecasting Indonesian Export

Acceso

Yoga Sasmita, Heri Kuswanto and Dedy Dwi Prastyo

Standard time-series modeling requires the stability of model parameters over time. The instability of model parameters is often caused by structural breaks, leading to the formation of nonlinear models. A state-dependent model (SDM) is a more general an... ver m�s

Revista: Forecasting

Cryptocurrencies and Long-Range Trends

Acceso

Monica Alexiadou, Emmanouil Sofianos, Periklis Gogas and Theophilos Papadimitriou

In this study we investigate possible long-range trends in the cryptocurrency market. We employed the Hurst exponent in a sample covering the period from 1 January 2016 to 26 March 2021. We calculated the Hurst exponent in three non-overlapping consecuti... ver m�s

Revista: International Journal of Financial Studies

TIME SERIES EVIDENCE ON EDUCATION AND ECONOMIC GROWTH IN INDONESIA

Art�culos similares

Revistas destacadas