Pages that link to "Item:Q3598442"
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The following pages link to A CASE STUDY ON POINT PROCESS MODELLING IN DISEASE MAPPING (Q3598442):
Displaying 14 items.
- Spatial Variable Selection and An Application to Virginia Lyme Disease Emergence (Q147727) (← links)
- Testing proportionality between the first-order intensity functions of spatial point processes (Q511995) (← links)
- An adaptive approach to Langevin MCMC (Q693336) (← links)
- A Bayesian estimate of the risk of tick-borne diseases. (Q851642) (← links)
- Approximate methods in Bayesian point process spatial models (Q961716) (← links)
- sppmix: Poisson point process modeling using normal mixture models (Q1729311) (← links)
- Spatiotemporal point processes: regression, model specifications and future directions (Q2330482) (← links)
- Test for the first-order stationarity for spatial point processes in arbitrary regions (Q2348802) (← links)
- Case studies in spatial point process modeling. Most papers based on the presentation at the international conference on spatial point process modeling and its applications, Benicàssim, Castellon, Spain, April 4--8, 2004. (Q2576827) (← links)
- Point-source modelling using matched case-control data (Q4489923) (← links)
- Bayesian Variable Selection Methods for Log-Gaussian Cox Processes (Q4689192) (← links)
- Hierarchical Bayesian modeling of marked non-homogeneous Poisson processes with finite mixtures and inclusion of covariate information (Q5130552) (← links)
- Nonparametric Estimation of Spatial Segregation in a Multivariate Point Process: Bovine Tuberculosis in Cornwall, UK (Q5757784) (← links)
- Point process models for COVID-19 cases and deaths (Q6078125) (← links)
