Pages that link to "Item:Q2771552"

The following pages link to Space-time multi type log Gaussian Cox processes with a view to modelling weeds (Q2771552):

Displaying 31 items.

• Statistics for inhomogeneous space-time shot-noise Cox processes (Q479152) (← links)
• Simulation of Cox processes driven by random Gaussian field (Q655928) (← links)
• An adaptive approach to Langevin MCMC (Q693336) (← links)
• Bayesian mixture modeling for spatial Poisson process intensities, with applications to extreme value analysis (Q997304) (← links)
• Lévy-based growth models (Q1002576) (← links)
• The analysis of marked point patterns evolving through space and time (Q1010520) (← links)
• Disentangling mark/point interaction in marked-point processes (Q1019944) (← links)
• Convergence of posteriors for discretized log Gaussian Cox processes. (Q1427710) (← links)
• Discussion of paper ``Nonparametric Bayesian inference in applications'' by Peter Müller, Fernando A. Quintana and Garritt L. Page (Q1663605) (← links)
• Spatio-temporal model for a random set given by a union of interacting discs (Q1930621) (← links)
• From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas (Q2062763) (← links)
• Erlang mixture modeling for Poisson process intensities (Q2066740) (← links)
• Modeling partially surveyed point process data: inferring spatial point intensity of geomagnetic anomalies (Q2209858) (← links)
• Bayesian dynamic models for space-time point processes (Q2361232) (← links)
• The pair correlation function of spatial Hawkes processes (Q2373688) (← links)
• Multivariate product-shot-noise Cox point process models (Q2809528) (← links)
• Parameter estimation for inhomogeneous space-time shot-noise Cox point processes (Q2835302) (← links)
• Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations (with discussion) (Q2920273) (← links)
• Bayesian Prediction of Spatial Count Data Using Generalized Linear Mixed Models (Q3078941) (← links)
• Coregionalized Single- and Multiresolution Spatially Varying Growth Curve Modeling with Application to Weed Growth (Q3436535) (← links)
• Lévy-based Cox point processes (Q3535645) (← links)
• (Q3552463) (← links)
• Spatio-temporal Modelling of Weeds by Shot-noiseG Cox processes (Q4330140) (← links)
• Shot noise Cox processes (Q4467503) (← links)
• Generalised shot noise Cox processes (Q4676425) (← links)
• Bayesian Variable Selection Methods for Log-Gaussian Cox Processes (Q4689192) (← links)
• Statistical Inference for Transformation Inhomogeneous Point Processes (Q4828232) (← links)
• Functional Principal Component Analysis of Spatiotemporal Point Processes With Applications in Disease Surveillance (Q4975570) (← links)
• Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach (Q6086605) (← links)
• A vector of point processes for modeling interactions between and within species using capture-recapture data (Q6626520) (← links)
• Aspects of second-order analysis of structured inhomogeneous spatio-temporal point processes (Q6647326) (← links)