Pages that link to "Item:Q486069"
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The following pages link to Multilevel latent Gaussian process model for mixed discrete and continuous multivariate response data (Q486069):
Displaying 10 items.
- Multivariate stochastic process models for correlated responses of mixed type (Q516511) (← links)
- Modeling skewed spatial data using a convolution of Gaussian and log-Gaussian processes (Q1631562) (← links)
- Data augmentation and parameter expansion for independent or spatially correlated ordinal data (Q1663196) (← links)
- Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models (Q2233162) (← links)
- Extending ordinal regression with a latent zero-augmented beta distribution (Q2363719) (← links)
- Spatial Modeling of Wetland Condition in the U.S. Prairie Pothole Region (Q3078940) (← links)
- Model-based clustering of trends and cycles of nitrate concentrations in rivers across France (Q6045982) (← links)
- Latent multivariate log-gamma models for high-dimensional multitype responses with application to daily fine particulate matter and mortality counts (Q6104100) (← links)
- Joint Bayesian analysis of multiple response-types using the hierarchical generalized transformation model (Q6121614) (← links)
- Global–local shrinkage multivariate logit-beta priors for multiple response-type data (Q6494412) (← links)
