Jeffrey Annis
Jeffrey Annis
Vanderbilt University Medical Center
Verified email at mail.usf.edu
Title
Cited by
Cited by
Year
The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models
G Dutilh, J Annis, SD Brown, P Cassey, NJ Evans, RPPP Grasman, ...
Psychonomic bulletin & review, 1-19, 2019
722019
Bayesian inference with Stan: A tutorial on adding custom distributions
J Annis, BJ Miller, TJ Palmeri
Behavior research methods 49 (3), 863-886, 2017
502017
On the relationship between memory and perception: Sequential dependencies in recognition memory testing.
KJ Malmberg, J Annis
Journal of Experimental Psychology: General 141 (2), 233, 2012
502012
Estimating across-trial variability parameters of the Diffusion Decision Model: Expert advice and recommendations
U Boehm, J Annis, MJ Frank, GE Hawkins, A Heathcote, D Kellen, ...
Journal of Mathematical Psychology 87, 46-75, 2018
392018
Sources of interference in recognition testing.
J Annis, KJ Malmberg, AH Criss, RM Shiffrin
Journal of Experimental Psychology: Learning, Memory, and Cognition 39 (5), 1365, 2013
252013
Consequences of testing memory
KJ Malmberg, M Lehman, J Annis, AH Criss, RM Shiffrin
Psychology of learning and motivation 61, 285-313, 2014
192014
The list-length effect does not discriminate between models of recognition memory
J Annis, JG Lenes, HA Westfall, AH Criss, KJ Malmberg
Journal of Memory and Language 85, 27-41, 2015
182015
Thermodynamic integration via differential evolution: A method for estimating marginal likelihoods
NJ Evans, J Annis
Behavior research methods 51 (2), 930-947, 2019
162019
Thermodynamic integration and steppingstone sampling methods for estimating Bayes factors: A tutorial
J Annis, NJ Evans, BJ Miller, TJ Palmeri
Journal of mathematical psychology 89, 67-86, 2019
122019
Bayesian statistical approaches to evaluating cognitive models
J Annis, TJ Palmeri
Wiley Interdisciplinary Reviews: Cognitive Science 9 (2), e1458, 2018
122018
A model of positive sequential dependencies in judgments of frequency
J Annis, KJ Malmberg
Journal of Mathematical Psychology 57 (5), 225-236, 2013
112013
Assessing theoretical conclusions with blinded inference to investigate a potential inference crisis
JJ Starns, AM Cataldo, CM Rotello, J Annis, A Aschenbrenner, A Bröder, ...
Advances in Methods and Practices in Psychological Science 2 (4), 335-349, 2019
82019
Modeling memory dynamics in visual expertise
J Annis, TJ Palmeri
Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
82018
& Kupitz, CN (2016). The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models
G Dutilh, J Annis, SD Brown, P Cassey, NJ Evans, RP Grasman
Psychonomic bulletin & review, 1-19, 0
6
Combining convolutional neural networks and cognitive models to predict novel object recognition in humans.
J Annis, I Gauthier, TJ Palmeri
Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
42020
A Bayesian approach to discriminating between biased responding and sequential dependencies in binary choice data
J Annis, C Dubé, KJ Malmberg
Decision 5 (1), 16-41, 2018
22018
The episodic flanker effect: Memory retrieval as attention turned inward.
GD Logan, GE Cox, J Annis, DRB Lindsey
Psychological Review 128 (3), 397, 2021
2021
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Articles 1–17