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Computational processes of simultaneous learning of stochasticity and volatility in humans
4 references·2 citing·21 second hop
Computational processes of simultaneous learning of stochasticity and volatility in humans (2024)Computational processes of simultaneous l…Anxious individuals have difficulty learning the causal statistics of aversive environments (2015)Anxious individuals have diff…Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Anxiety and Decision-Making (2012)Anxiety and Decision-MakingAn Approximately Bayesian Delta-Rule Model Explains the Dynamics of Belief Updating in a Changing Environment (2010)An Approximately Bayesian Del…Decision-making under uncertainty (2024)Decision-making under uncerta…Decision-Making under Uncertainty (2024)Decision-Making under Uncerta…Judgment under Uncertainty: Heuristics and Biases (1974)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)The impact of anxiety upon cognition: perspectives from human threat of shock studies (2013)Annual Research Review: Childhood maltreatment, latent vulnerability and the shift to preventative psychiatry – the contribution of functional brain imaging (2017)State-Trait Anxiety Inventory for Adults (1983)Effects of an expanding-spaced vs massed exposure schedule on fear reduction and return of fear (1998)Fearing the unknown: A short version of the Intolerance of Uncertainty Scale (2006)Modeling Trait Anxiety: From Computational Processes to Personality (2017)Altered learning under uncertainty in unmedicated mood and anxiety disorders (2019)The prefrontal cortex, pathological anxiety, and anxiety disorders (2021)Advances in prospect theory: Cumulative representation of uncertainty (1992)Bias in Human Judgment: Is Your Halo Slipping? (2002)Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal (2024)Portfolio Selection: Efficient Diversification of Investments (1959)Computational approaches to psychiatry (2014)Resolving uncertainty in a social world (2019)The Misestimation of Uncertainty in Affective Disorders (2019)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)A Tutorial on Bayesian Optimization (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
this work references cited by second hop

References

  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
  • 2010An Approximately Bayesian Delta-Rule Model Explains the Dynamics of Belief Updating in a Changing Environment562 cited
  • 2012Anxiety and Decision-Making497 cited
  • 2015Anxious individuals have difficulty learning the causal statistics of aversive environments476 cited

Cited by

  • 2024Decision-Making under Uncertainty5 cited
  • 2024Decision-making under uncertainty1 cited

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