Pages that link to "Item:Q3631502"
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The following pages link to Estimating functions for inhomogeneous spatial point processes with incomplete covariate data (Q3631502):
Displaying 12 items.
- Convex and non-convex regularization methods for spatial point processes intensity estimation (Q1746561) (← links)
- Spatial logistic regression and change-of-support in Poisson point processes (Q1952095) (← links)
- Mixed effects models for recurrent events data with partially observed time-varying covariates: ecological momentary assessment of smoking (Q2805177) (← links)
- Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty (Q3304834) (← links)
- Information loss on the dependence parameter due to incomplete data from a one-parameter spatial gaussian process (Q4337124) (← links)
- Mixed-Poisson point process with partially observed covariates: ecological momentary assessment of smoking (Q5127001) (← links)
- Bayesian P-splines and advanced computing in R for a changepoint analysis on spatio-temporal point processes (Q5222497) (← links)
- Stochastic Quasi-Likelihood for Case-Control Point Pattern Data (Q5231492) (← links)
- Variable selection for inhomogeneous spatial point process models (Q5256382) (← links)
- Estimating the Intensity of a Spatial Point Process from Locations Coarsened by Incomplete Geocoding (Q5450489) (← links)
- Multivariate geometric anisotropic Cox processes (Q6049801) (← links)
- Approximating the moments of a spatial point process (Q6537819) (← links)