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Stock Prediction based on Bayesian-LSTM
10 references·1 citing·41 second hop
Stock Prediction based on Bayesian-LSTM (2018)Stock Prediction based on Bayesian-LSTMDeep learning for stock prediction using numerical and textual information (2016)Deep learning for stock predi…Stock price prediction using linear regression based on sentiment analysis (2015)Stock price prediction using …A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A LSTM-based method for stock…Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations (2012)Exponential Regret Bounds for…A novel text mining approach to financial time series forecasting (2011)A novel text mining approach …Practical Bayesian optimization (2008)Practical Bayesian optimizati…Stock Price Prediction Using Prior Knowledge and Neural Networks (1997)Stock Price Prediction Using …Stock Market Development and Long-Run Growth (1996)Stock Market Development and …Introduction to financial forecasting (1996)Introduction to financial for…Stock price prediction using neural networks: A project report (1990)Stock price prediction using …Cryptocurrency Price Prediction with Neural Networks of LSTM and Bayesian Optimization (2022)Cryptocurrency Price Predicti…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. (1978)Time series forecasting using a hybrid ARIMA and neural network model (2003)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Stock closing price prediction based on sentiment analysis and LSTM (2019)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Book Review: Time Series Analysis: Forecasting and Control (1977)Support vector machine with adaptive parameters in financial time series forecasting (2003)Forecasting stock market movement direction with support vector machine (2004)Interpolation of Spatial Data: Some Theory for Kriging (2000)A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Scalable Bayesian Optimization Using Deep Neural Networks (2015)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Bayesian Optimization in a Billion Dimensions via Random Embeddings (2016)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)Textual analysis of stock market prediction using breaking financial news (2009)Twitter mood predicts the stock market (2011)Stock market's price movement prediction with LSTM neural networks (2017)Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)Deep learning for financial applications : A survey (2020)Applications of deep learning in stock market prediction: Recent progress (2021)On the mechanics of economic development (1988)Finance and Growth: Schumpeter Might Be Right (1993)FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH: ASSESSING THE EVIDENCE* (1997)Financial development and economic growth: evidence from panel unit root and cointegration tests (2003)The Theory of Economic Development (2003)Does financial liberalization spur growth? (2005)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network (2008)Forecasting with artificial neural networks: (1998)Evaluating multiple classifiers for stock price direction prediction (2015)A Tutorial on Bayesian Optimization (2018)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)Social Media and Stock Market Prediction: A Big Data Approach (2021)Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions (2021)
this work references cited by second hop

References

  • 1996Stock Market Development and Long-Run Growth1,108 cited
  • 2015A LSTM-based method for stock returns prediction: A case study of China stock market740 cited
  • 2016Deep learning for stock prediction using numerical and textual information429 cited
  • 1996Introduction to financial forecasting414 cited
  • 2008Practical Bayesian optimization222 cited
  • 1990Stock price prediction using neural networks: A project report173 cited
  • 1997Stock Price Prediction Using Prior Knowledge and Neural Networks162 cited
  • 2015Stock price prediction using linear regression based on sentiment analysis157 cited
  • 2011A novel text mining approach to financial time series forecasting134 cited
  • 2012Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations76 cited

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  • 2022Cryptocurrency Price Prediction with Neural Networks of LSTM and Bayesian Optimization24 cited

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