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Statistical Modeling to Improve Time Series Forecasting Using Machine Learning, Time Series, and Hybrid Models: A Case Study of Bitcoin Price Forecasting
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Statistical Modeling to Improve Time Series Forecasting Using Machine Learning, Time Series, and Hybrid Models: A Case Study of Bitcoin Price Forecasting (2024)Statistical Modeling to Improve Time Seri…Near miss prediction in commercial aviation through a combined model of grey neural network (2024)Near miss prediction in comme…Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach (2024)Financial Time-Series Forecas…Discontinuous Distribution of Test Statistics Around Significance Thresholds in Empirical Accounting Studies (2024)Discontinuous Distribution of…Time-Series Cryptocurrency Forecasting Using Ensemble Deep Learning (2023)Time-Series Cryptocurrency Fo…On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles (2023)On Forecasting Cryptocurrency…Forecasting Day-Ahead Brent Crude Oil Prices Using Hybrid Combinations of Time Series Models (2023)Forecasting Day-Ahead Brent C…Forecasting Bitcoin prices using artificial intelligence: Combination of ML, SARIMA, and Facebook Prophet models (2023)Forecasting Bitcoin prices us…Financial Time Series Forecasting with the Deep Learning Ensemble Model (2023)Financial Time Series Forecas…Centralized decomposition approach in LSTM for Bitcoin price prediction (2023)Centralized decomposition app…Analysis of Bitcoin Price Prediction Using Machine Learning (2023)Analysis of Bitcoin Price Pre…Neural Networks for Financial Time Series Forecasting (2022)Neural Networks for Financial…Time series forecasting using singular spectrum analysis, fuzzy systems and neural networks (2020)Time series forecasting using…Predicting market movement direction for bitcoin: A comparison of time series modeling methods (2020)Predicting market movement di…Prediction of Bitcoin prices with machine learning methods using time series data (2018)Prediction of Bitcoin prices …Predicting the Price of Bitcoin Using Machine Learning (2018)Predicting the Price of Bitco…Comparing Predictive Accuracy (2002)Comparing Predictive AccuracyA novel hybrid framework for forecasting stock indices based on the nonlinear time series models (2025)A novel hybrid framework for …A Hybrid LMD–ARIMA–Machine Learning Framework for Enhanced Forecasting of Financial Time Series: Evidence from the NASDAQ Composite Index (2025)A Hybrid LMD–ARIMA–Machine Le…Designing a neural network for forecasting financial and economic time series (1996)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Practical Bayesian Optimization of Machine Learning Algorithms (2012)An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)An innovative neural network approach for stock market prediction (2018)Deep learning for financial applications : A survey (2020)Weighted fuzzy time series models for TAIEX forecasting (2004)Forecasting enrollments using high-order fuzzy time series and genetic algorithms (2006)Predicting stock market index using fusion of machine learning techniques (2014)Bitcoin Price Forecasting using LSTM and 10-Fold Cross validation (2019)Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane (2020)Predicting stock trend using an integrated term frequency–inverse document frequency-based feature weight matrix with neural networks (2020)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Forecasting at Scale (2017)MLP-based Learnable Window Size for Bitcoin price prediction (2022)Prediction of stock price direction using the LASSO-LSTM model combines technical indicators and financial sentiment analysis (2022)Helformer: an attention-based deep learning model for cryptocurrency price forecasting (2025)Stock Price Prediction Using the ARIMA Model (2014)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Agricultural Price Prediction Based on Combined Forecasting Model under Spatial-Temporal Influencing Factors (2022)Recurrent ensemble random vector functional link neural network for financial time series forecasting (2024)Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold (2018)Predicting the direction of stock market prices using tree-based classifiers (2018)Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions (2024)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)25 years of time series forecasting (2006)Cryptocurrency price forecasting – A comparative analysis of ensemble learning and deep learning methods (2023)From Prediction to Profit: A Comprehensive Review of Cryptocurrency Trading Strategies and Price Forecasting Techniques (2024)Time series forecasting using a hybrid ARIMA and neural network model (2003)Introductory Econometrics for Finance (2008)Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models (2023)LSTM–Transformer-Based Robust Hybrid Deep Learning Model for Financial Time Series Forecasting (2025)On the Estimation of Security Price Volatilities from Historical Data (1980)Modeling and Forecasting Realized Volatility (2003)Hedging capabilities of bitcoin. Is it the virtual gold? (2015)Does Anything Beat 5-Minute RV? A Comparison of Realized Measures Across Multiple Asset Classes (2012)Applications of deep learning in stock market prediction: Recent progress (2021)Machine learning in the Chinese stock market (2021)A survey of deep learning applications in cryptocurrency (2023)
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References

  • 2002Comparing Predictive Accuracy1,745 cited
  • 2018Predicting the Price of Bitcoin Using Machine Learning690 cited
  • 2023Analysis of Bitcoin Price Prediction Using Machine Learning137 cited
  • 2023Financial Time Series Forecasting with the Deep Learning Ensemble Model137 cited
  • 2018Prediction of Bitcoin prices with machine learning methods using time series data120 cited
  • 2022Neural Networks for Financial Time Series Forecasting95 cited
  • 2023On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles94 cited
  • 2023Forecasting Bitcoin prices using artificial intelligence: Combination of ML, SARIMA, and Facebook Prophet models92 cited
  • 2020Predicting market movement direction for bitcoin: A comparison of time series modeling methods90 cited
  • 2023Time-Series Cryptocurrency Forecasting Using Ensemble Deep Learning84 cited
  • 2024Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach63 cited
  • 2023Forecasting Day-Ahead Brent Crude Oil Prices Using Hybrid Combinations of Time Series Models62 cited
  • 2023Centralized decomposition approach in LSTM for Bitcoin price prediction43 cited
  • 2020Time series forecasting using singular spectrum analysis, fuzzy systems and neural networks

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43 cited
  • 2024Near miss prediction in commercial aviation through a combined model of grey neural network37 cited
  • 2024Discontinuous Distribution of Test Statistics Around Significance Thresholds in Empirical Accounting Studies35 cited
  • Cited by

    • 2025A novel hybrid framework for forecasting stock indices based on the nonlinear time series models33 cited
    • 2025A Hybrid LMD–ARIMA–Machine Learning Framework for Enhanced Forecasting of Financial Time Series: Evidence from the NASDAQ Composite Index31 cited