The following pages link to J. B. Illian (Q484708):
Displaying 14 items.
- A Bayesian approach to fitting Gibbs processes with temporal random effects (Q484712) (← links)
- A comparison of the classification capabilities of the 1-dimensional Kohonen neural network with two partitioning and three hierarchical cluster analysis algorithms (Q1385092) (← links)
- Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology (Q1622175) (← links)
- Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales (Q1697398) (← links)
- A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA) (Q1939998) (← links)
- Contributions of spatial point process modelling to biodiversity theory (Q2197335) (← links)
- Going off grid: computationally efficient inference for log-Gaussian Cox processes (Q2797331) (← links)
- Bayesian P-splines and advanced computing in R for a changepoint analysis on spatio-temporal point processes (Q5222497) (← links)
- Statistical Analysis and Modelling of Spatial Point Patterns (Q5444328) (← links)
- Spatial modeling with R-INLA: a review (Q6602213) (← links)
- Identifying prognostic structural features in tissue sections of colon cancer patients using point pattern analysis (Q6625961) (← links)
- A spatiotemporal multispecies model of a semicontinuous response (Q6641420) (← links)
- Careful prior specification avoids incautious inference for log-Gaussian Cox point processes (Q6642074) (← links)
- A Bayesian approach to modelling subnational spatial dynamics of worldwide non-state terrorism, 2010--2016 (Q6668751) (← links)
