Pages that link to "Item:Q2827175"
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The following pages link to Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data (Q2827175):
Displaying 22 items.
- Bayesian modeling on continuously marked spatial point patterns (Q626215) (← links)
- Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes (Q830443) (← links)
- Some edge correction methods for marked spatio-temporal point process models (Q901615) (← links)
- The analysis of marked point patterns evolving through space and time (Q1010520) (← links)
- Disentangling mark/point interaction in marked-point processes (Q1019944) (← links)
- Second-order characteristics of spatial marked processes with applications (Q1586531) (← links)
- Modeling forest tree data using sequential spatial point processes (Q2163493) (← links)
- Parameter estimation for growth interaction processes using spatio-temporal information (Q2359519) (← links)
- Development and evaluation of spatial point process models for epidermal nerve fibers (Q2637398) (← links)
- Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data (Q2666061) (← links)
- Spatial prediction of the mark of a location-dependent marked point process: how the use of a parametric model may improve prediction. (Q2882850) (← links)
- Joint Spatial Modeling of Recurrent Infection and Growth with Processes under Intermittent Observation (Q3576907) (← links)
- Description of tree distribution patterns and their development through marked Gibbs processes (Q4267706) (← links)
- On Variograms in Point Process Statistics, II: Models of Markings and Ecological Interpretation (Q4488928) (← links)
- Критерий пространственно-возрастной организации древостоя (Q4960047) (← links)
- Point Processes for Fine-Scale Spatial Genetics and Molecular Ecology (Q5121831) (← links)
- Two-Dimensional Spectral Analysis for Marked Point Processes (Q5121866) (← links)
- Experimental Design and Statistical Inference for Cluster Point Processes– with Applications to the Fruit Dispersion of Anemochorous Forest Trees (Q5122429) (← links)
- Modelling Forest Dynamics: A Perspective from Point Process Methods (Q5122911) (← links)
- On Statistical Inference for the Random Set Generated Cox Process with Set‐marking (Q5122912) (← links)
- Conditional intensity: A powerful tool for modelling and analysing point process data (Q6075101) (← links)
- Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach (Q6086605) (← links)
