Transitional probability and phoneme monitoring. - James M. McQueen; Mark A. Pitt (ICSLP, 1996)

The Use of MDL to Select among Computational Models of Cognition. - In Jae Myung; Mark A. Pitt; Shaobo Zhang; Vijay Balasubramanian (NIPS, 2000)

Counting probability distributions: Differential geometry and model selection. - In Jae Myung; Vijay Balasubramanian; Mark A. Pitt (Proc. Natl. Acad. Sci. USA, 2000)

An analysis of transcription consistency in spontaneous speech from the buckeye corpus. - William D. Raymond; Mark A. Pitt; Keith Johnson; Elizabeth Hume; Matthew J. Makashay; Robin Dautricourt; Craig Hilts (INTERSPEECH, 2002)

An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science. - Woojae Kim; Daniel J. Navarro; Mark A. Pitt; In Jae Myung (NIPS, 2003)

Model Comparison Methods. - Jay I. Myung; Mark A. Pitt (Numerical Computer Methods, Part D, 2004)

Model selection in cognitive science as an inverse problem. - Jay I. Myung; Mark A. Pitt; Daniel J. Navarro (Computational Imaging, 2005)

The Buckeye corpus of conversational speech: labeling conventions and a test of transcriber reliability. - Mark A. Pitt; Keith Johnson; Elizabeth Hume; Scott F. Kiesling; William D. Raymond (Speech Commun., 2005)

The buckeye corpus of speech: updates and enhancements. - Eric Fosler-Lussier; Laura Dilley; Na'im R. Tyson; Mark A. Pitt (INTERSPEECH, 2007)

Measuring Model Flexibility With Parameter Space Partitioning: An Introduction and Application Example. - Mark A. Pitt; Jay I. Myung; Maximiliano Montenegro; James Pooley (Cogn. Sci., 2008)

Adaptive Design Optimization in Experiments with People. - Daniel R. Cavagnaro; Mark A. Pitt; Jay I. Myung (NIPS, 2009)

Adaptive Design Optimization: A Mutual Information-Based Approach to Model Discrimination in Cognitive Science. - Daniel R. Cavagnaro; Jay I. Myung; Mark A. Pitt; Janne V. Kujala (Neural Comput., 2010)

Tutorial on Model Comparison Methods. - Jay I. Myung; Mark A. Pitt (CogSci, 2011)

The use of lexical and duration information in segmenting speech with unclear word boundaries. - Colin Widmer; Dahee Kim; Christine Szostak; Mark A. Pitt (CogSci, 2011)

Exploring the role of exposure frequency in recognizing pronunciation variants. - Mark A. Pitt; Laura Dilley; Michael Tat (J. Phonetics, 2011)

Adaptive Estimation of Psychometric Slope and Threshold with Differential Evolution. - Hairong Gu; Jay I. Myung; Mark A. Pitt; Zhong-Lin Lu (CogSci, 2013)

Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach. - Daniel R. Cavagnaro; Richard Gonzalez; Jay I. Myung; Mark A. Pitt (Manag. Sci., 2013)

What Should Be the Data Sharing Policy of Cognitive Science? - Mark A. Pitt; Yun Tang (Top. Cogn. Sci., 2013)

A Hierarchical Adaptive Approach to the Optimal Design of Experiments. - Woojae Kim; Mark A. Pitt; Zhong-Lin Lu; Mark Steyvers; Hairong Gu; Jay I. Myung (CogSci, 2014)

A Hierarchical Adaptive Approach to Optimal Experimental Design. - Woojae Kim; Mark A. Pitt; Zhong-Lin Lu; Mark Steyvers; Jay I. Myung (Neural Comput., 2014)

Workshop on Optimizing Experimental Designs: Theory, Practice, and Applications. - Jay I. Myung; Mark A. Pitt; Maarten Speekenbrink (CogSci, 2015)

Rate-dependent speech processing can be speech-specific: Evidence from the disappearance of words under changes in context speech rate. - Laura Dilley; Mark A. Pitt; Christine Szostak; Melissa Michaud Baese-Berk (ICPhS, 2015)

Planning Beyond the Next Trial in Adaptive Experiments: A Dynamic Programming Approach. - Woojae Kim; Mark A. Pitt; Zhong-Lin Lu; Jay I. Myung (Cogn. Sci., 2017)

The effect of expertise on auditory categorization: a domain-specific or domain-general mechanism? - Marjorie Freggens; Mark A. Pitt (CogSci, 2018)

Assessing the Validity of Three Tasks of Risk-Taking Propensity: Behavioral Measure and Computational Modeling. - Ran Zhou; Jay I. Myung; Carol Mathews; Mark A. Pitt (CogSci, 2018)

Modeling Delay Discounting using Gaussian Process with Active Learning. - Jorge Chang; Jiseob Kim; Byoung-Tak Zhang; Mark A. Pitt; Jay I. Myung (CogSci, 2019)

Active Learning for a Number-Line Task with Two Design Variables. - Sang Ho Lee; Dan Kim; John Opfer; Mark A. Pitt; Jay I. Myung (CogSci, 2019)

Optimizing the Design of an Experiment using the ADOpy Package: An Introduction and Tutorial. - Jay I. Myung; Mark A. Pitt; Jaeyeong Yang; Woo-Young Ahn (CogSci, 2019)

Machine Learning Optimizes Assessment: New Insights for the Development of Numerosity Estimation. - Sang Ho Lee; Dan Kim; John Opfer; Mark A. Pitt; Jay I. Myung (CogSci, 2020)

Context variability promotes generalization in reading aloud: Insight from a neural network simulation. - Ian Miller; Nicolas Dumay; Mark A. Pitt; Brian Lam 002; Blair C. Armstrong (CogSci, 2020)

The Scaled Target Learning Model: A Novel Computational Model of the Balloon Analogue Risk Task. - Ran Zhou; Jay I. Myung; Mark A. Pitt (CogSci, 2020)