Pages that link to "Item:Q3195195"
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The following pages link to Regularized Estimating Equations for Model Selection of Clustered Spatial Point Processes (Q3195195):
Displaying 13 items.
- Penalized composite likelihoods for inhomogeneous Gibbs point process models (Q1662861) (← links)
- Variable selection for spatial Poisson point processes via a regularization method (Q1731184) (← links)
- Convex and non-convex regularization methods for spatial point processes intensity estimation (Q1746561) (← links)
- Sparse spatially clustered coefficient model via adaptive regularization (Q2084064) (← links)
- Regularized estimation for highly multivariate log Gaussian Cox processes (Q2302515) (← links)
- Variable selection for inhomogeneous spatial point process models (Q5256382) (← links)
- Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation (Q5872952) (← links)
- Variable selection using penalised likelihoods for point patterns on a linear network (Q6051638) (← links)
- Inference for low‐ and high‐dimensional inhomogeneous Gibbs point processes (Q6073438) (← links)
- Information criteria for inhomogeneous spatial point processes (Q6075103) (← links)
- Bayesian group learning for shot selection of professional basketball players (Q6541715) (← links)
- Goodness-of-fit test for point processes first-order intensity (Q6561265) (← links)
- Heterogeneity pursuit for spatial point pattern with application to tree locations: a Bayesian semiparametric recourse (Q6626411) (← links)
