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Cultural Consensus Theory for Two-Dimensional Data: Expertise-Weighted Aggregation of Location Judgments
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A personal essay on Bayes factors
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If mathematical psychology did not exist we would need to invent it: A case study in cumulative theoretical development
Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease
The wisdom of the crowd with partial rankings: A Bayesian approach implementing the Thurstone model in JAGS
Using Cognitive Models to Improve the Wisdom of the Crowd
Strategies people use buying airline tickets: a cognitive modeling analysis of optimal stopping in a changing environment
Where’s Waldo, Ohio? Using Cognitive Models to Improve the Aggregation of Spatial Knowledge
An Extension and Clinical Application of the SIMPLE Model to the Free Recall of Repeated and Semantically Related Items
A Coupled Hidden Markov Model Framework for Measuring the Dynamics of Categorization
Parsing memory and nonmemory contributions to age-related declines in mnemonic discrimination performance: a hierarchical Bayesian diffusion decision modeling approach.
Bayesian graphical modeling with the circular drift diffusion model
Bayesian modeling of the Mnemonic Similarity Task using multinomial processing trees
Evaluating the complexity and falsifiability of psychological models.
A Review of Applications of the Bayes Factor in Psychological Research
Bayesian Graphical Modeling with the Circular Drift Diffusion Model
Autobiographical memory specificity and mnemonic discrimination
Always look on the bright side of logic? Testing explanations of intuitive sensitivity to logic in perceptual tasks.
A Multinomial Processing Tree Model of the 2-back Working Memory Task
Drafting strategies in fantasy football: A study of competitive sequential human decision making
Adaptive design optimization for a Mnemonic Similarity Task
A Bayesian method for measuring risk propensity in the Balloon Analogue Risk Task
Framing effects and preference reversals in crowd-sourced ranked opinions.
A model-based analysis of the impairment of semantic memory
Model‐Based Wisdom of the Crowd for Sequential Decision‐Making Tasks
Modeling Strategy Switches in Multi-attribute Decision Making
Using the Weighted Kendall Distance to Analyze Rank Data in Psychology
Application of Digital Cognitive Biomarkers for Alzheimer's Disease: Identifying Cognitive Process Changes and Impending Cognitive Decline
Modeling Optimal Stopping in Changing Environments: a Case Study in Mate Selection
A Model-Based Examination of Scale Effects in Student Evaluations of Teaching
Pupil Dilation during Reward Anticipation Is Correlated to Depressive Symptom Load in Patients with Major Depressive Disorder
Bayesian Inference for Multidimensional Scaling Representations with Psychologically Interpretable Metrics
Discussion points for Bayesian inference
An application of multinomial processing tree models and Bayesian methods to understanding memory impairment
Robust Diversity in Cognitive Science
Robust Modeling in Cognitive Science
Violence in the Second Intifada: A Demonstration of Bayesian Generative Cognitive Modeling
Combining dimensions and features in similarity-based representations
Sampling assumptions in inductive generalization
A Model for Understanding Recognition Validity
Detecting Strategies in Developmental Psychology
A simple and flexible Bayesian method for inferring step changes in cognition
Bayesian methods applied to the generalized matching law
Robust diversity in cognitive science
Bayesian methods for analyzing true-and-error models
Testing the ability of the surprisingly popular method to predict NFL games
A Model‐Based Approach to the Wisdom of the Crowd in Category Learning
Bayesian techniques for analyzing group differences in the Iowa Gambling Task: A case study of intuitive and deliberate decision-makers
Testing the Ability of the Surprisingly Popular Method to Predict NFL Games
Determining informative priors for cognitive models
Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions.
A Simple and Flexible Bayesian Method for Inferring Step Changes in Cognition
Testing take-the-best in new and changing environments
Bayesian Inference for Correlations in the Presence of Measurement Error and Estimation Uncertainty
New methods, measures, and models for analyzing memory impairment using triadic comparisons
Bayesian Benefits for the Pragmatic Researcher
Bayesian outcome-based strategy classification
The fallacy of placing confidence in confidence intervals
A Bayesian approach to modeling group and individual differences in multidimensional scaling
A power fallacy
Evidence for and against a simple interpretation of the less-is-more effect
Mathematical Psychology
A Hierarchical Bayesian Modeling Approach to Searching and Stopping in Multi‐Attribute Judgment
Using cognitive models to combine probability estimates
Bayesian Cognitive Modeling
A Bayesian hierarchical mixture approach to individual differences: Case studies in selective attention and representation in category learning
A cognitive model for aggregating peoples rankings.
Modeling the Adaptation of Search Termination in Human Decision Making
Time-varying boundaries for diffusion models of decision making and response time
Hierarchical Bayesian cognitive processing models to analyze clinical trial data
Quantum models of cognition as Orwellian newspeak
Correcting the SIMPLE Model of Free Recall
Relating Memory to Functional Performance in Normal Aging to Dementia Using Hierarchical Bayesian Cognitive Processing Models
Using priors to formalize theory: Optimal attention and the generalized context model
The Bayesian Evaluation of Categorization Models: Comment on Wills and Pothos (2012)
Evaluating the coherence of Take-the-best in structured environments
A Bayesian Latent Group Analysis for Detecting Poor Effort in the Assessment of Malingering
An assessment of email and spontaneous dialog visualizations
The Wisdom of the Crowd in Combinatorial Problems
Sampling Assumptions in Inductive Generalization
Inferring Expertise in Knowledge and Prediction Ranking Tasks
An Excel sheet for inferring children's number-knower levels from give-N data
Using hierarchical Bayesian methods to examine the tools of decision-making
The right tool for the job? Comparing an evidence accumulation and a naive strategy selection model of decision making
A tutorial on Bayes factor estimation with the product space method
In praise of Ecumenical Bayes
Applying One Reason Decision-Making: The Prioritisation of Literature Searches
Hierarchical Diffusion Models for Two-Choice Response Times
How cognitive modeling can benefit from hierarchical Bayesian models
Number-knower levels in young children: Insights from Bayesian modeling
Psychological models of human and optimal performance in bandit problems
Statistical Evidence in Experimental Psychology: An Empirical Comparison Using 855 t Tests
The wisdom of the crowd playing The Price Is Right
Understanding memory impairment with memory models and hierarchical Bayesian analysis
Bayesian inference using WBDev: A tutorial for social scientists
Replication is not coincidence: Reply to Iverson, Lee, and Wagenmakers (2009)
Introduction to the special issue on formal modeling of semantic concepts
A Model of Knower-Level Behavior in Number Concept Development
A Model-Averaging Approach to Replication: The Case of p(rep)
A general latent assignment approach for modeling psychological contaminants
Emergent and structured cognition in Bayesian models: comment on Griffiths et al. and McClelland et al.
Finding the features that represent stimuli
Global similarity accounts of embedded-category designs: Tests of the Global Matching models
Optimal experimental design for a class of bandit problems
The random effects p(rep) continues to mispredict the probability of replication
prep misestimates the probability of replication
A Bayesian analysis of human decision-making on bandit problems
Levels of number knowledge during early childhood
p(rep) misestimates the probability of replication
p(rep): An agony in five Fits
Attention to internal face features in unfamiliar face matching
BayesSDT: Software for Bayesian inference with signal detection theory
Three case studies in the Bayesian analysis of cognitive models
A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods
Bayesian analysis of recognition memory: The case of the list-length effect
Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis
An empirical evaluation of four data visualization techniques for displaying short news text similarities
Domain experts influence decision quality: Towards a robust method for their identification
An Oil and Gas Decision-Making Taxonomy
A hierarchical Bayesian model of human decision-making on an optimal stopping problem
The aesthetic appeal of minimal structures: Judging the attractiveness of solutions to traveling salesperson problems
Decision making and confidence given uncertain advice
Model selection for the rate problem: A comparison of significance testing, Bayesian, and minimum description length statistical inference
Modeling individual differences using Dirichlet processes
Choice of Models for the Analysis and Forecasting of Hospital Beds
Modeling individual differences in cognition
Bayesian Statistical Inference in Psychology: Comment on Trafimow (2003)
An Application of Minimum Description Length Clustering to Partitioning Learning Curves
Bayesian statistical inference in psychology: Comment on Trafimow (2003)
Common and distinctive features in stimulus similarity: A modified version of the contrast model
Decisions and Uncertainty Management: Expertise Matters
Problems with the Elicitation of Uncertainty
Evidence accumulation in decision making: Unifying the “take the best” and the “rational” models
Intelligence and individual differences in performance on three types of visually presented optimisation problems
A Bayesian analysis of retention functions
Evidence accumulation in decision making: Unifying the "take the best" and the "rational" models
Visualizations of binary data: A comparative evaluation
The roles of the convex hull and the number of potential intersections in performance on visually presented traveling salesperson problems
Sequential sampling models of human text classification
Avoiding the dangers of averaging across subjects when using multidimensional scaling
The perception of minimal structures: Performance on open and closed versions of visually presented Euclidean travelling salesperson problems
Extending the ALCOVE model of category learning to featural stimulus domains
A simple method for generating additive clustering models with limited complexity
Applying one reason decision-making: The prioritisation of literature searches
Generating additive clustering models with minimal stochastic complexity
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Extending Bayesian concept learning to deal with representational complexity and adaptation
Determining the dimensionality of multidimensional scaling representations for cognitive modeling
Fast Text Classification Using Sequential Sampling Processes
Human performance on visually presented Traveling Salesman problems
On the complexity of additive clustering models
Towards a transformational approach to perceptual organization
The importance of the convex hull for human performance on the traveling salesman problem: A comment on MacGregor and Ormerod (1996)
An extraction and regularization approach to additive clustering
Never cross the path of a traveling salesman: The neural network generation of Halstead-Reitan trail making tests
Interactive visualisation of similarity structures
Towards intelligent search interfaces: visualising query results by relating meta-data to user-relevance
Neural feature abstraction from judgments of similarity
The Connectionist Construction of Psychological Spaces
Neural Network and Tree Search Algorithms for the Generation of Path-Following (Trail-Making) Tests
Towards a dynamic connectionist model of memory
A Cognitive Modeling Analysis of Risk in Sequential Choice Tasks
Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer’s Disease
Group Decision-Making on an Optimal Stopping Problem
Individual Differences in Optimization Problem Solving: Reconciling Conflicting Results
Modeling Human Performance in Restless Bandits with Particle Filters
The Effect of Goals and Environments on Human Performance in Optimal Stopping Problems
Thurstonian Cognitive Models for Aggregating Top-n Lists
Understanding the Complexity of Simple Decisions: Modeling Multiple Behaviors and Switching Strategies
Unpacking the Exploration–Exploitation Tradeoff: A Synthesis of Human and Animal Literatures
Using the weighted Kendall Distance to analyze rank data in psychology