Assessing model mimicry using the parametric bootstrap.
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Publication:1431814
DOI10.1016/j.jmp.2003.11.004zbMath1076.91537OpenAlexW2048009248MaRDI QIDQ1431814
Pablo Gomez, Geoffrey J. Iverson, Roger Ratcliff, Eric‐Jan Wagenmakers
Publication date: 11 June 2004
Published in: Journal of Mathematical Psychology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmp.2003.11.004
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- Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- Statistical decision theory and Bayesian analysis. 2nd ed
- Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
- Theoretical comparison of bootstrap confidence intervals
- Estimating the dimension of a model
- Bootstrap methods: another look at the jackknife
- Selected papers of Hirotugu Akaike
- Posterior predictive \(p\)-values
- Making correct statistical inferences using a wrong probability model
- Accuracy, scope, and flexibility of models
- Bayesian model selection and model averaging
- Model selection based on minimum description length
- Special issue on model selection
- Discrepancy risk model selection test theory for comparing possibly misspecified or nonnested models
- Naïve Nonparametric Bootstrap Model Weights Are Biased
- Sampling and Bayes' Inference in Scientific Modelling and Robustness
- Using simulation methods for bayesian econometric models: inference, development,and communication
- The Selection of Prior Distributions by Formal Rules
- Diagnostic Checks for Discrete Data Regression Models Using Posterior Predictive Simulations
- Bootstrap tests: how many bootstraps?
- A Three-step Method for Choosing the Number of Bootstrap Repetitions
- Strong optimality of the normalized ML models as universal codes and information in data
- Model Selection and Multimodel Inference
- Bayes Factors
- Fisher information and stochastic complexity
- The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks
- SOME RESULTS CONCERNING THE IDENTIFIABILITY OF PARALLEL AND SERIAL PROCESSES
- The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses
- The Monte Carlo Method
- The bootstrap and Edgeworth expansion
- The elements of statistical learning. Data mining, inference, and prediction
- Handbook of econometrics. Vol. 5
