Pages that link to "Item:Q5361191"
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The following pages link to On the Correlation Structure of Gaussian Copula Models for Geostatistical Count Data (Q5361191):
Displaying 16 items.
- Sklar's Omega: A Gaussian Copula-Based Framework for Assessing Agreement (Q65362) (← links)
- Modelling Point Referenced Spatial Count Data: A Poisson Process Approach (Q69412) (← links)
- Hierarchical Poisson models for spatial count data (Q391903) (← links)
- On the occasional exactness of the distributional transform approximation for direct Gaussian copula models with discrete margins (Q2244573) (← links)
- Pair-wise family-based correlation model for spatial count data (Q2278864) (← links)
- Modelling and analysing correlated non-normal data (Q2767672) (← links)
- A statistical model for analyzing interdependent complex of plant pathogens (Q2825694) (← links)
- Gaussian copula-based zero-inflated power series joint models to analyze correlated count data (Q5042196) (← links)
- Maximum likelihood estimation of Gaussian copula models for geostatistical count data (Q5088088) (← links)
- Models for Geostatistical Binary Data: Properties and Connections (Q5869252) (← links)
- Count Time Series: A Methodological Review (Q6044640) (← links)
- Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution (Q6071003) (← links)
- Latent Gaussian Count Time Series (Q6107233) (← links)
- Seasonal count time series (Q6135336) (← links)
- Bayesian geostatistical modeling for discrete-valued processes (Q6626617) (← links)
- Spatial copula-based modeling of claim frequency and claim size in third-party car insurance: a Poisson-mixed approach for predictive analysis (Q6665593) (← links)
