Pages that link to "Item:Q4515532"

The following pages link to Practical Maximum Pseudolikelihood for Spatial Point Patterns (Q4515532):

Displaying 40 items.

• Likelihood and Non‐parametric Bayesian MCMC Inference for Spatial Point Processes Based on Perfect Simulation and Path Sampling (Q4455960) (← links)
• Models for point processes observed with noise (Q4506022) (← links)
• A point process model for generating biofilms with realistic microstructure and rheology (Q4625086) (← links)
• An extension of Monte Carlo hypothesis tests (Q4638843) (← links)
• Modelling Spatial Intensity for Replicated Inhomogeneous Point Patterns in Brain Imaging (Q4665856) (← links)
• Multitype Spatial Point Patterns with Hierarchical Interactions (Q4668304) (← links)
• Poisson-saddlepoint approximation for Gibbs point processes with infinite-order interaction: in memory of Peter Hall (Q4684906) (← links)
• Statistical Inference for Transformation Inhomogeneous Point Processes (Q4828232) (← links)
• Leverage and Influence Diagnostics for Spatial Point Processes (Q4911967) (← links)
• Decomposition of Variance for Spatial Cox Processes (Q4911969) (← links)
• Neyman-Scott process with skew-normal clusters (Q5092700) (← links)
• Synchronization in phase-coupled oscillator with attractive–repulsive frequencies (Q5101094) (← links)
• Parameter Estimation and Model Selection for Neyman‐Scott Point Processes (Q5123002) (← links)
• Modelling the location decisions of manufacturing firms with a spatial point process approach (Q5138071) (← links)
• Modelling and classification of species abundance: a case study in the Barro Colorado Island plot (Q5138716) (← links)
• (Q5149021) (← links)
• Bias correction for parameter estimates of spatial point process models (Q5219383) (← links)
• Adjusted composite likelihood ratio test for spatial Gibbs point processes (Q5222385) (← links)
• Variable selection for inhomogeneous spatial point process models (Q5256382) (← links)
• Quasi-Likelihood for Spatial Point Processes (Q5378131) (← links)
• (Q5389659) (← links)
• Residual Analysis for Spatial Point Processes (with Discussion) (Q5490612) (← links)
• Gibbs point processes for studying the development of spatial-temporal stochastic processes. (Q5940875) (← links)
• Score, pseudo-score and residual diagnostics for spatial point process models (Q5963772) (← links)
• Variable selection using penalised likelihoods for point patterns on a linear network (Q6051638) (← links)
• Inference for low‐ and high‐dimensional inhomogeneous Gibbs point processes (Q6073438) (← links)
• Conditional intensity: A powerful tool for modelling and analysing point process data (Q6075101) (← links)
• Information criteria for inhomogeneous spatial point processes (Q6075103) (← links)
• Spatial Sampling for Non‐compact Patterns (Q6088637) (← links)
• Pairwise interaction function estimation of stationary Gibbs point processes using basis expansion (Q6136585) (← links)
• Data-driven chimney fire risk prediction using machine learning and point process tools (Q6138624) (← links)
• Approximating the moments of a spatial point process (Q6537819) (← links)
• Calibration diagnostics for point process models via the probability integral transform (Q6537847) (← links)
• Composite likelihood ratio testing under nonstandard conditions using tangent cones (Q6541788) (← links)
• Intensity estimation for inhomogeneous Gibbs point process with covariates-dependent chemical activity (Q6552787) (← links)
• On the Conway-Maxwell-Poisson point process (Q6579738) (← links)
• Minimum contrast for the first-order intensity estimation of spatial and spatio-temporal point processes (Q6581348) (← links)
• Generalised additive point process models for natural hazard occurrence (Q6615772) (← links)
• Heterogeneity pursuit for spatial point pattern with application to tree locations: a Bayesian semiparametric recourse (Q6626411) (← links)
• GPS data on tourists: a spatial analysis on road networks (Q6649308) (← links)