0000-0003-3630-6629
Learning to Live with Sampling Variability: Expected Replicability in Partial Correlation Networks
robustclearexciting
Beyond Average Scores: Identification of Consistent and Inconsistent Academic Achievement in Grouping Units
Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data
Trial-By-Trial ERP-Behavior Relationships in Psychosis: Between- and Within-Person Variability in Performance Monitoring Adjustments
Impact of ERP Reliability Cutoffs on Sample Characteristics and Effect Sizes: Performance‐Monitoring ERPs in Psychosis and Healthy Controls
A Network Analysis of Executive Functions in Children and Adolescents With and Without Attention-Deficit/Hyperactivity Disorder
The Impact of ERP Reliability Cutoffs on Sample Characteristics and Effect Sizes: Performance-Monitoring ERPs in Psychosis and Healthy Controls
Who is and is not “average”? Random effects selection with spike-and-slab priors.
Normal Congruency Sequence Effects in Psychopathology: A Behavioral and Electrophysiological Examination Using a Confound-Minimized Design
A new frontier for studying within-person variability: Bayesian multivariate generalized autoregressive conditional heteroskedasticity models.
The unity and diversity of executive functions: A network approach to life span development.
bmgarch: An R-Package for Bayesian Multivariate GARCH models
Understanding the Error in Psychopathology: Notable Intraindividual Differences in Neural Variability of Performance Monitoring
Who Is and Is Not "Average'"? Random Effects Selection with Spike-and-Slab Priors
Beneath the surface: Unearthing within-person variability and mean relations with Bayesian mixed models.
A Fine-Tooth Comb for Measurement Reliability: Predicting True Score and Error Variance in Hierarchical Models
Bayesian Multivariate GARCH Models for Within-Person Variance Forecasting
Comparing Gaussian graphical models with the posterior predictive distribution and Bayesian model selection.
On Formalizing Theoretical Expectations: Bayesian Testing of Central Structures in Psychological Networks
A New Frontier for Studying Within-Person Variability: Bayesian Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models
Optimizing Detection of True Within-Person Effects for Intensive Measurement Designs: A Comparison of Multilevel SEM and Unit-Weighted Scale Scores
The Reliability Factor: Modeling individual reliability with multiple items from a single assessment
A Bayesian nonlinear mixed-effects location scale model for learning
On Nonregularized Estimation of Psychological Networks
Putting the Individual into Reliability: Bayesian Testing of Homogeneous Within-Person Variance in Hierarchical Models
Measurement Invariance Assessment with Bayesian Hierarchical Inclusion Modeling
Beneath the Surface: Unearthing Within-Person Variability and Mean Relations with Bayesian Mixed Models
Bayesian Multivariate Mixed-Effects Location Scale Modeling of Longitudinal Relations among Affective Traits, States, and Physical Activity
Comparing Gaussian Graphical Models with the Posterior Predictive Distribution and Bayesian Model Selection
The Unity and Diversity of Executive Functions: A Systematic Review and Re-Analysis of Latent Variable Studies
A Bayesian Nonlinear Mixed-Effects Location Scale Model for Learning
On Non-Regularized Estimation of Psychological Networks
Back to the Basics: Rethinking Partial Correlation Network Methodology
A Mixed-Effects Location Scale Model for Dyadic Interactions
Bayesian Meta-Analysis with Weakly Informative Prior Distributions
0000-0003-3630-6629
University of California, Davis
University of California, Davis