Pages that link to "Item:Q2259849"
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The following pages link to Autologistic regression analysis of spatial-temporal binary data via Monte Carlo maximum likelihood (Q2259849):
Displaying 13 items.
- Autologistic models with interpretable parameters (Q138148) (← links)
- Continuous-time proportional hazards regression for ecological monitoring data (Q484591) (← links)
- Selection of spatial-temporal lattice models: assessing the impact of climate conditions on a mountain pine beetle outbreak (Q484694) (← links)
- On estimation and selection of autologistic regression models via penalized pseudolikelihood (Q486061) (← links)
- Auto-multicategorical regression model for the distribution of vegetation (Q660022) (← links)
- A spatio-temporal model for mountain pine beetle damage (Q2348811) (← links)
- A comparison of efficiencies between quasi-likelihood and pseudo-likelihood estimates in non-separable spatial-temporal binary data (Q2388963) (← links)
- Joint Spatial Modeling of Recurrent Infection and Growth with Processes under Intermittent Observation (Q3576907) (← links)
- Investigating competition in financial markets: a sparse autologistic model for dynamic network data (Q5035721) (← links)
- Autologistic network model on binary data for disease progression study (Q5121048) (← links)
- On estimation in binary autologistic spatial models (Q5290889) (← links)
- A spatial logistic regression model based on a valid skew-Gaussian latent field (Q6045978) (← links)
- Inference for the analysis of ordinal data with spatio-temporal models (Q6636055) (← links)
