Publications

Nathaniel Haines (2021). Integrating Trait and Neurocognitive Mechanisms of Externalizing Psychopathology: A Joint Modeling Framework for Measuring Impulsive Behavior. Dissertation.

Woo-Young Ahn, Hairong Gu, Yitong Shen, Nathaniel Haines, Hunter Hahn, Julie Teater, Jay Myung, Mark Pitt (2020). Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm. Sci Rep.

Nathaniel Haines, Theodore Beauchaine (2020). Moving beyond Ordinary Factor Analysis in Studies of Personality and Personality Disorder: A Computational Modeling Perspective. Psychopathology.

Nathaniel Haines, Theodore Beauchaine, Matthew Galdo, Andrew Rogers, Hunter Hahn, Mark Pitt, Jay Myung, Brandon Turner, Woo-Young Ahn (2020). Anxiety Modulates Preference for Immediate Rewards among Trait-Impulsive Individuals: A Hierarchical Bayesian Analysis. Clin Psych Sci.

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Ricardo Romeu, Nathaniel Haines, W.-Y. Ahn, J. Busemeyer, J. Vassileva (2019). A computational model of the Cambridge gambling task with applications to substance use disorders. DAD.

Hunter Hahn, Samuel Kalnitsky, Nathaniel Haines, Sneha Thamotharan, Theodore Beauchaine (2019). Delay Discounting of Protected Sex: Relationship Type and Sexual Orientation Influence Sexual Risk Behavior. Arch Sex Behav.

Nathaniel Haines, Ziv Bell, Sheila Crowell, Hunter Hahn, Dana Kamara, Heather McDonough-Caplan, Tiffany Shader, Theodore Beauchaine (2019). Using automated computer vision and machine learning to code facial expressions of affect and arousal: Implications for emotion dysregulation research. Dev. Psychopathology..

Theodore Beauchaine, Nathaniel Haines (2019). Functionalist and Constructionist Perspectives on Emo tion Dysregulation. The Oxford Handbook of Emotion Dysregulation.

Nathaniel Haines, Matthew Southward, Jennifer Cheavens, Theodore Beauchaine, Woo-Young Ahn (2019). Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity. PLOS ONE.

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Nathaniel Haines, Jasmin Vassileva, Woo-Young Ahn (2018). The Outcome‐Representation Learning Model: A Novel Reinforcement Learning Model of the Iowa Gambling Task. Cog Sci.

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Woo-Young Ahn, Paul Hendricks, Nathaniel Haines (2017). Easyml: Easily Build And Evaluate Machine Learning Models. BioRxiv.

Andrew Rogers, Ilana Seager, Nathaniel Haines, Hunter Hahn, Amelia Aldeo, Woo-Young Ahn (2017). The Indirect Effect of Emotion Regulation on Minority Stress and Problematic Substance Use in Lesbian, Gay, and Bisexual Individuals. Frontiers Psych.

Woo-Young Ahn, Nathaniel Haines, Lei Zhang (2017). Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package. CPSY.