Pages that link to "Item:Q3576908"
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The following pages link to Partial-Likelihood Analysis of Spatio-Temporal Point-Process Data (Q3576908):
Displaying 17 items.
- Power-law models for infectious disease spread (Q58327) (← links)
- A space-time conditional intensity model for invasive meningococcal disease occurrence (Q58331) (← links)
- Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales (Q1697398) (← links)
- Consistent parametric estimation of the intensity of a spatial-temporal point process (Q1765758) (← links)
- Student's-\(t\) process with spatial deformation for spatio-temporal data (Q2111313) (← links)
- Spatial Cox processes in an infinite-dimensional framework (Q2125481) (← links)
- A note on the consistent estimation of spatial-temporal point process parameters (Q2796885) (← links)
- Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data (Q2827175) (← links)
- Parameter estimation for inhomogeneous space-time shot-noise Cox point processes (Q2835302) (← links)
- Spatio-temporal point processes, partial likelihood, foot and mouth disease (Q5424982) (← links)
- Spatio-temporal point processes, partial likelihood, foot and mouth disease (Q5442634) (← links)
- (Q5456604) (← links)
- Parametric estimation of spatial-temporal point processes using the Stoyan-Grabarnik statistic (Q6058523) (← links)
- Conditional intensity: A powerful tool for modelling and analysing point process data (Q6075101) (← links)
- A mechanistic spatio‐temporal modeling of COVID‐19 data (Q6149264) (← links)
- A mechanistic bivariate point process model for crime pattern analysis (Q6548776) (← links)
- Point process modeling through a mixture of homogeneous and self-exciting processes (Q6668594) (← links)
