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Andrew Perfors

Showing results (11-20 of 28) with videos related to

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Behavior Research Methods|April 2, 2017
Not every credible interval is credible: Evaluating robustness in the presence of contamination in Bayesian data analysisLauren A Kennedy, Daniel J Navarro, Andrew Perfors, et al.
Journal of Psychopathology and Behavioral Assessment|November 29, 2021
Risking Everything in Obsessive-Compulsive Disorder: An Analogue Decision-Making StudyJames Croft, Jessica R Grisham, Andrew Perfors, et al.
Cognitive Science|January 12, 2021
Visual and Affective Multimodal Models of Word Meaning in Language and MindSimon De Deyne, Danielle J Navarro, Guillem Collell, et al.
Journal of Experimental Psychology. Learning, Memory, and Cognition|September 1, 2022
What do our sampling assumptions affect: How we encode data or how we reason from it?Keith J Ransom, Andrew Perfors, Brett K Hayes, et al.
Open Mind : Discoveries in Cognitive Science|September 6, 2021
SAYCam: A Large, Longitudinal Audiovisual Dataset Recorded From the Infant's PerspectiveJessica Sullivan, Michelle Mei, Andrew Perfors, et al.
Plos One|June 3, 2022
Impression formation stimuli: A corpus of behavior statements rated on morality, competence, informativeness, and believabilityAmy Mickelberg, Bradley Walker, Ullrich K H Ecker, et al.
Psychological Science|June 11, 2025
How Convincing Is a Crowd? Quantifying the Persuasiveness of a Consensus for Different Individuals and Types of ClaimsManikya Alister, Keith Ransom, Saoirse Connor Desai, et al.
Plos One|July 29, 2021
Explainable models for forecasting the emergence of political instabilityEmma Baillie, Piers D L Howe, Andrew Perfors, et al.
Cognitive Science|February 15, 2022
Category Clustering and Morphological LearningJohn Mansfield, Carmen Saldana, Peter Hurst, et al.
Cognition|January 19, 2024
Changing your mind about the data: Updating sampling assumptions in inductive inferenceBrett K Hayes, Joshua Pham, Jaimie Lee, et al.
Pageof 3

Showing results (11-20 of 28) with videos related to

Sort By:
Pageof 3
Behavior Research Methods|April 2, 2017
Not every credible interval is credible: Evaluating robustness in the presence of contamination in Bayesian data analysisLauren A Kennedy, Daniel J Navarro, Andrew Perfors, et al.
Journal of Psychopathology and Behavioral Assessment|November 29, 2021
Risking Everything in Obsessive-Compulsive Disorder: An Analogue Decision-Making StudyJames Croft, Jessica R Grisham, Andrew Perfors, et al.
Cognitive Science|January 12, 2021
Visual and Affective Multimodal Models of Word Meaning in Language and MindSimon De Deyne, Danielle J Navarro, Guillem Collell, et al.
Journal of Experimental Psychology. Learning, Memory, and Cognition|September 1, 2022
What do our sampling assumptions affect: How we encode data or how we reason from it?Keith J Ransom, Andrew Perfors, Brett K Hayes, et al.
Open Mind : Discoveries in Cognitive Science|September 6, 2021
SAYCam: A Large, Longitudinal Audiovisual Dataset Recorded From the Infant's PerspectiveJessica Sullivan, Michelle Mei, Andrew Perfors, et al.
Plos One|June 3, 2022
Impression formation stimuli: A corpus of behavior statements rated on morality, competence, informativeness, and believabilityAmy Mickelberg, Bradley Walker, Ullrich K H Ecker, et al.
Psychological Science|June 11, 2025
How Convincing Is a Crowd? Quantifying the Persuasiveness of a Consensus for Different Individuals and Types of ClaimsManikya Alister, Keith Ransom, Saoirse Connor Desai, et al.
Plos One|July 29, 2021
Explainable models for forecasting the emergence of political instabilityEmma Baillie, Piers D L Howe, Andrew Perfors, et al.
Cognitive Science|February 15, 2022
Category Clustering and Morphological LearningJohn Mansfield, Carmen Saldana, Peter Hurst, et al.
Cognition|January 19, 2024
Changing your mind about the data: Updating sampling assumptions in inductive inferenceBrett K Hayes, Joshua Pham, Jaimie Lee, et al.
Pageof 3