Pages that link to "Item:Q2635194"
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The following pages link to Analyzing spatial point patterns subject to measurement error (Q2635194):
Displaying 12 items.
- Estimating spatial variation in disease risk from locations coarsened by incomplete geocoding (Q713945) (← links)
- Estimating second order characteristics of point processes with known independent noise (Q746278) (← links)
- Big data sampling and spatial analysis: ``which of the two ladles, of fig-wood or gold, is appropriate to the soup and the pot?'' (Q1642391) (← links)
- sppmix: Poisson point process modeling using normal mixture models (Q1729311) (← links)
- Efficient measurement error correction with spatially misaligned data (Q3165531) (← links)
- Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty (Q3304834) (← links)
- Models for point processes observed with noise (Q4506022) (← links)
- Hierarchical Bayesian modeling of marked non-homogeneous Poisson processes with finite mixtures and inclusion of covariate information (Q5130552) (← links)
- Cox Point Processes: Why One Realisation Is Not Enough (Q6086617) (← links)
- Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data (Q6625616) (← links)
- Point process models for sweat gland activation observed with noise (Q6627745) (← links)
- A Bayesian Nonparametric Mixture Measurement Error Model With Application to Spatial Density Estimation Using Mobile Positioning Data With Multi-Accuracy and Multi-Coverage (Q6636539) (← links)
