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Probabilistic forecasts from probabilistic models: A case study in the oil market
3 references·5 citing·34 second hop
Probabilistic forecasts from probabilistic models: A case study in the oil market (1995)Probabilistic forecasts from probabilisti…Using belief networks to forecast oil prices (1991)Using belief networks to fore…Readings on the Principles and Applications of Decision Analysis (1989)Readings on the Principles an…A Ten-Year Retrospective: OPEC and the World Oil Market (1984)A Ten-Year Retrospective: OPE…Predicting carbon futures prices based on a new hybrid machine learning: Comparative study of carbon prices in different periods (2023)Predicting carbon futures pri…Forecasting energy prices using a novel hybrid model with variational mode decomposition (2022)Forecasting energy prices usi…Support Vector Machine Algorithms: An Application to Ship Price Forecasting (2020)Support Vector Machine Algori…Oil price prediction using ensemble machine learning (2013)Oil price prediction using en…Oil Price Forecasting with an EMD-Based Multiscale Neural Network Learning Paradigm (2007)Oil Price Forecasting with an…Time series prediction: Forecasting the future and understanding the past (1994)A semiparametric approach to short-term oil price forecasting (2001)A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates (2004)A dynamic meta-learning rate-based model for gold market forecasting (2011)A Hybrid Least Square Support Vector Machine Model with Parameters Optimization for Stock Forecasting (2015)Optimizing the monthly crude oil price forecasting accuracy via bagging ensemble models (2015)The Economics of Exhaustible Resources (1931)Are the macroeconomic effects of oil-price changes symmetric? (1988)BOUNDED RATIONALITY, AMBIGUITY, AND THE ENGINEERING OF CHOICE (1988)Testing Alternative Hypotheses of Oil Producer Behavior (1991)Price-fixing Overcharges: Legal and Economic Evidence (2007)The Theory of Games and Economic Behavior (1945)Decision analysis and behavioral research (1986)Consensus diagnosis: a simulation study (1992)A novel algorithm for prediction of crude oil price variation based on soft computing (2009)Forecasting the differences between various commercial oil prices in the Persian Gulf region by neural network (2011)Theory of games and economic behavior (2019)Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling (2011)Dynamics of global oil prices, exchange rate and precious metal prices in India (2012)Selecting dynamic moving average trading rules in the crude oil futures market using a genetic approach (2015)Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Comparing Predictive Accuracy (1994)Monthly ship price forecasting based on multivariate variational mode decomposition (2023)Fitting autoregressive models for prediction (1969)Prospect Theory: An Analysis of Decision under Risk (1979)Comparing Predictive Accuracy (1995)A novel interval-valued carbon price analysis and forecasting system based on multi-objective ensemble strategy for carbon trading market (2023)The impact of Russia–Ukraine war on crude oil prices: an EMC framework (2024)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Breaking through the limitation of carbon price forecasting: A novel hybrid model based on secondary decomposition and nonlinear integration (2024)Systematic Risk Management Approach for Construction Projects (1990)What Do People Know About Global Climate Change? 1. Mental Models (1994)Some Contributions of Integrated Assessment Models of Global Climate Change (2017)
this work references cited by second hop

References

  • 1989Readings on the Principles and Applications of Decision Analysis685 cited
  • 1984A Ten-Year Retrospective: OPEC and the World Oil Market155 cited
  • 1991Using belief networks to forecast oil prices84 cited

Cited by

  • 2020Support Vector Machine Algorithms: An Application to Ship Price Forecasting61 cited
  • 2022Forecasting energy prices using a novel hybrid model with variational mode decomposition59 cited
  • 2007Oil Price Forecasting with an EMD-Based Multiscale Neural Network Learning Paradigm53 cited
  • 2023Predicting carbon futures prices based on a new hybrid machine learning: Comparative study of carbon prices in different periods41 cited
  • 2013Oil price prediction using ensemble machine learning37 cited

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