Statistical modeling to improve time series forecasting using machine learning, time series, and hybrid models: a case study of bitcoin price forecasting
Bitcoin (BTC-USD) is a virtual currency that has grown in popularity after its inception in
2008. BTC-USD is an internet communication network that makes using digital money …
2008. BTC-USD is an internet communication network that makes using digital money …
[HTML][HTML] Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach
YE Gur - Data Science in Finance and Economics, 2024 - aimspress.com
This study aims to apply advanced machine-learning models and hybrid approaches to
improve the forecasting accuracy of the US Consumer Price Index (CPI). The study …
improve the forecasting accuracy of the US Consumer Price Index (CPI). The study …
[PDF][PDF] Forecasting The Consumer Price Index: A Comparative Study of Machine Learning Methods
The Consumer Price Index (CPI) is an indicator of inflation and is tracked by many
government and economic agencies to make decisions of major importance. Its prediction is …
government and economic agencies to make decisions of major importance. Its prediction is …
Income-Expenditure Dynamics across Districts in Khyber Pakhtunkhwa: A Multilevel Statistical Approach
Financial development in emerging economies, such as Pakistan, often leads to disparities
in wealth, causing long-term financial and social instabilities. Dealing with these imbalances …
in wealth, causing long-term financial and social instabilities. Dealing with these imbalances …
Resilience Approaches and Comparative Evaluation of Classical Time Series Models in Modeling and Forecasting Wheat Production
S Tunio, F Parveen, K Ishaq - Pakistan Journal of …, 2024 - internationalrasd.org
Prediction is a complex task that is based on different statistical methods and scientific
knowledge. Using statistical methods, the current study aims to forecast wheat output in the …
knowledge. Using statistical methods, the current study aims to forecast wheat output in the …
Comparative Study of Machine Learning (ML) and Conventional Time Series Methodologies in Modelling the Exports Trade of Pakistan
Export trade is a pivotal driver of economic growth and stability in any nation, including
Pakistan. Accurate modelling of export trade holds immense significance as it allows for …
Pakistan. Accurate modelling of export trade holds immense significance as it allows for …