These publications have online supplements associated with them:

Computational phenotyping of cognitive decline with retest learning

PsyArXiv, preprint

osf.io/v3dnc

Optimizing the Color Shapes task for ambulatory assessment and computational cognitive feature extraction via drift diffusion modeling

JMIR Preprints, preprint

osf.io/ty4uf

Partially observable predictor models for identifying cognitive markers

PsyArXiv, preprint

osf.io/4qpxs

An EZ Bayesian hierarchical drift diffusion model for response time and accuracy

PsyArXiv, preprint

osf.io/bzkpn

Deep latent variable joint cognitive modeling of neural signals and human behavior

NeuroImage, 2024

osf.io/vq4yk

Quantifying evidence for---and against---Granger causality with Bayes factors

Multivariate Behavioral Research, 2024

osf.io/qr82d

A cognitive modeling analysis of risk in sequential choice tasks

Judgment and Decision Making, 2020

osf.io/4cnrj

Cultural consensus theory for the evaluation of patients' mental health scores in forensic psychiatric hospitals

Journal of Mathematical Psychology, 2020

osf.io/jkv38

A joint process model of consensus and longitudinal dynamics

Journal of Mathematical Psychology, 2020

osf.io/ft5ns

Discussion points for Bayesian inference

Nature Human Behavior, 2020

osf.io/6eqx5

The quality of response time data inference: A blinded, collaborative approach to the validity of cognitive models

Psychonomic Bulletin & Review, 2019

osf.io/g7ka7

The latency of a visual evoked potential tracks the onset of decision making

NeuroImage, 2019

osf.io/jg9u3

Individual differences in cortical processing speed predict cognitive abilities: A model-based cognitive neuroscience account

Computational Brain & Behavior, 2019

osf.io/de75n

A quantum probability account of individual differences in causal reasoning

Journal of Mathematical Psychology, 2018

osf.io/t3h5g

Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions

Behavior Research Methods, 2018

osf.io/gytqz

Introduction to Bayesian inference for psychology

Psychonomic Bulletin & Review, 2018

osf.io/n9mbu

Making replication mainstream

Behavioral and Brain Sciences, 2018

osf.io/tr7u8

Bayesian reanalyses from summary statistics: A guide for academic consumers

Advances in Methods and Practices in Psychological Science, 2018

osf.io/7t2jd

Improving social and behavioral science by making replication mainstream: A response to commentaries

Behavioral and Brain Sciences, 2018

osf.io/eup3m

Replication Bayes factors from evidence updating

Behavior Research Methods, 2018

osf.io/d7ryj

How to become a Bayesian in eight easy steps: An annotated reading list

Psychonomic Bulletin & Review, 2018

osf.io/8wkpd

Bayesian Inference for Psychology. Part II: Example applications with JASP

Psychonomic Bulletin & Review, 2018

osf.io/6mvt9

Bayesian inference and testing any hypothesis you can specify

Advances in Methods and Practices in Psychological Science, 2018

osf.io/htjgb

Editorial: Bayesian methods for advancing psychological science

Psychonomic Bulletin & Review, 2018

osf.io/wx3h8

Metastudies for robust tests of theory

Proceedings of the National Academy of Sciences, 2018

osf.io/g84py

Bayesian Inference in Psychology, Part IV: Parameter estimation and Bayes factors

Psychonomic Bulletin & Review, 2018

osf.io/bvjg8

Bayesian Inference in Psychology, Part III: Bayesian parameter estimation in nonstandard models

Psychonomic Bulletin & Review, 2018

osf.io/trhsy

The effects of goals and evironments on human performance in optimal stopping problems

Decision, 2018

osf.io/b5d8n