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Hybrid forecasting of geopolitical events†
16 references·0 citing·42 second hop
Hybrid forecasting of geopolitical events† (2023)Hybrid forecasting of geopolitical events†Machine learning in energy economics and finance: A review (2019)Machine learning in energy ec…FFORMA: Feature-based forecast model averaging (2019)FFORMA: Feature-based forecas…Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model (2019)Evaluation of statistical and…A systematic review of algorithm aversion in augmented decision making (2019)A systematic review of algori…Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Statistical and Machine Learn…Forecasting principles and practice (2018)Forecasting principles and pr…Understanding algorithm aversion: When is advice from automation discounted? (2017)Understanding algorithm avers…Expert Political Judgment (2017)Expert Political JudgmentOvercoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them (2016)Overcoming Algorithm Aversion…Psychological Strategies for Winning a Geopolitical Forecasting Tournament (2014)Psychological Strategies for …Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)Algorithm Aversion: People Er…A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition (2012)A review and comparison of st…The relative influence of advice from human experts and statistical methods on forecast adjustments (2009)The relative influence of adv…Automatic Time Series Forecasting: The forecast Package for R (2008)Automatic Time Series Forecas…Information Sampling and Adaptive Cognition (2005)Information Sampling and Adap…Patterns of Transnational Terrorism, 1970-1999: Alternative Time-Series Estimates (2002)Patterns of Transnational Ter…The Combination of Forecasts (1969)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Forecasting with artificial neural networks: (1998)Time series forecasting of petroleum production using deep LSTM recurrent networks (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Forecasting: theory and practice (2022)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Another look at measures of forecast accuracy (2006)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Agency Theory: An Assessment and Review (1989)Resistance to Medical Artificial Intelligence (2019)Task-Dependent Algorithm Aversion (2019)Time Series Analysis Forecasting and Control. (1971)Book Review: Time Series Analysis: Forecasting and Control (1977)N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)Comparing Predictive Accuracy (1994)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Time series forecasting using a hybrid ARIMA and neural network model (2003)A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions (2020)Does Good ESG Lead to Better Financial Performances by Firms? Machine Learning and Logistic Regression Models of Public Enterprises in Europe (2020)A systematic review of machine learning in logistics and supply chain management: current trends and future directions (2021)Judgment under Uncertainty (1982)A perspective on judgment and choice: Mapping bounded rationality. (2003)Nudge: improving decisions about health, wealth, and happiness (2008)Algorithmic management in a work context (2021)What influences algorithmic decision-making? A systematic literature review on algorithm aversion (2021)The robust beauty of improper linear models in decision making. (1979)The affect heuristic in judgments of risks and benefits (2000)Brave new world: service robots in the frontline (2018)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)Preference and belief: Ambiguity and competence in choice under uncertainty (1991)The trouble with overconfidence. (2008)Algorithms at Work: The New Contested Terrain of Control (2019)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Social Projection to Ingroups and Outgroups: A Review and Meta-Analysis (2005)Metacognition and consciousness (2007)Eliciting Expert Knowledge in Conservation Science (2012)
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References

  • 2018Forecasting principles and practice4,405 cited
  • 2008Automatic Time Series Forecasting: The forecast Package for R3,665 cited
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  • 2012A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition757 cited
  • 2019Machine learning in energy economics and finance: A review438 cited
  • 2005Information Sampling and Adaptive Cognition399 cited
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  • 2014Psychological Strategies for Winning a Geopolitical Forecasting Tournament310 cited
  • 2017Understanding algorithm aversion: When is advice from automation discounted?

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308 cited
  • 2002Patterns of Transnational Terrorism, 1970-1999: Alternative Time-Series Estimates283 cited
  • 2017Expert Political Judgment278 cited
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