Pages that link to "Item:Q645486"
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The following pages link to A tutorial on Bayes factor estimation with the product space method (Q645486):
Displaying 15 items.
- Default Bayes factors for ANOVA designs (Q96695) (← links)
- Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models (Q142140) (← links)
- A Bayesian approach to modeling group and individual differences in multidimensional scaling (Q256396) (← links)
- An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson's rule (Q294241) (← links)
- Prototypes, exemplars and the response scaling parameter: a Bayes factor perspective (Q296949) (← links)
- Using MCMC chain outputs to efficiently estimate Bayes factors (Q645491) (← links)
- A tutorial on bridge sampling (Q1690608) (← links)
- A quantum probability account of individual differences in causal reasoning (Q1736015) (← links)
- Thermodynamic integration and steppingstone sampling methods for estimating Bayes factors: a tutorial (Q2332817) (← links)
- A tutorial on the Bayesian approach for analyzing structural equation models (Q2438591) (← links)
- A tutorial on variational Bayes for latent linear stochastic time-series models (Q2513823) (← links)
- A survey of product posterior distributions (Q5350183) (← links)
- Deep learning's shallow gains: a comparative evaluation of algorithms for automatic music generation (Q6103587) (← links)
- Bayes Factors and Posterior Estimation: Two Sides of the Very Same Coin (Q6562794) (← links)
- On Bayesian model selection for INGARCH models viatrans-dimensional Markov chain Monte Carlo methods (Q6669917) (← links)
