Pages that link to "Item:Q1019957"
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The following pages link to Conditional independence of multivariate binary data with an application in caries research (Q1019957):
Displaying 10 items.
- A Bayesian hierarchical spatial model for dental caries assessment using non-Gaussian Markov random fields (Q312937) (← links)
- A recursive procedure for density estimation on the binary hypercube (Q1951138) (← links)
- Modeling of Multivariate Monotone Disease Processes in the Presence of Misclassification (Q4648540) (← links)
- On the estimation of the misclassification table for finite count data with an application in caries research (Q4970907) (← links)
- Oral health research: A source for innovative new statistical developments (Q4971004) (← links)
- Marginal probabilities and point estimation for conditionally specified logistic regression (Q5086393) (← links)
- Copula Gaussian graphical models with penalized ascent Monte Carlo EM algorithm (Q6063603) (← links)
- Colombian women's life patterns: a multivariate density regression approach (Q6121681) (← links)
- Seemingly unrelated multi-state processes: a Bayesian semiparametric approach (Q6650953) (← links)
- A mixed hidden Markov model for multivariate monotone disease processes in the presence of measurement errors (Q6665008) (← links)
