Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns
From MaRDI portal
Publication:4407093
DOI10.1111/1467-9574.00144zbMath1018.62027OpenAlexW2126305855MaRDI QIDQ4407093
Adrian J. Baddeley, Jesper Møller, Rasmus Waagepetersen
Publication date: 17 September 2003
Published in: Statistica Neerlandica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/1467-9574.00144
spatial statisticskernel estimationMarkov chain Monte Carlothinningsummary statisticssecond-order methodssemi-parametric inferenceMarkov point process
Inference from spatial processes (62M30) Density estimation (62G07) Markov processes: estimation; hidden Markov models (62M05)
Related Items
Bootstrap bandwidth selection for the pair correlation function of inhomogeneous spatial point processes, Local inhomogeneous second-order characteristics for spatio-temporal point processes occurring on linear networks, Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes, Testing independence between two nonhomogeneous point processes in time, Parameter estimation for growth interaction processes using spatio-temporal information, Testing Separability in Spatial-Temporal Marked Point Processes, Spatial CART classification trees, On the higher order product density functions of a Neyman-Scott cluster point process, Summary statistics for inhomogeneous marked point processes, Bayesian nonparametric estimation of pair correlation function for inhomogeneous spatial point processes, Point pattern analysis of spatial deformation and blurring effects on exceedances, Residual Analysis for Inhomogeneous Neyman-Scott Processes, First- and Second-Order Characteristics of Spatio-Temporal Point Processes on Linear Networks, Asymptotic properties of the minimum contrast estimators for projections of inhomogeneous space-time shot-noise Cox processes., Inhomogeneous spatio-temporal point processes on linear networks for visitors' stops data, Two-Step Estimation for Inhomogeneous Spatial Point Processes, Two-step estimation procedures for inhomogeneous shot-noise Cox processes, Statistical Inference for Transformation Inhomogeneous Point Processes, Book review of: A. Baddeley et al., Spatial point patterns: methodology and applications with R, A Bayesian mixture model to quantify parameters of spatial clustering, Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data, A second-order test to detect spatio-temporal anisotropic effects in point patterns, Asymptotic goodness-of-fit tests for point processes based on scaled empirical K-functions, Poisson point process models solve the ``pseudo-absence problem for presence-only data in ecology, Substationarity for spatial point processes, Two step estimation for Neyman-Scott point process with inhomogeneous cluster centers, A Tutorial on Palm Distributions for Spatial Point Processes, Second‐order analysis of anisotropic spatiotemporal point process data, A Festschrift for Adrian Baddeley, A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA), Cluster analysis of spatial point patterns: posterior distribution of parents inferred from offspring, Bayesian Selection of Adaptive Bandwidth in Non-homogeneous Poisson Process Kernel Estimators for the Intensity Function, Contributions of spatial point process modelling to biodiversity theory, Self-exciting hurdle models for terrorist activity, Point process diagnostics based on weighted second-order statistics and their asymptotic properties, Scaling Oversmoothing Factors for Kernel Estimation of Spatial Relative Risk, Inhomogeneous higher-order summary statistics for point processes on linear networks, Nonparametric estimation of the pair correlation function of replicated inhomogeneous point processes, Hidden Markov models for the activity profile of terrorist groups, A KPSS Test for Stationarity for Spatial Point Processes, Lévy-based Cox point processes, Testing First-Order Spherical Symmetry of Spatial Point Processes, A point process model for generating biofilms with realistic microstructure and rheology, Distinguishing different types of inhomogeneity in Neyman-Scott point processes, On random marked sets with a smaller integer dimension, Estimating second-order characteristics of inhomogeneous spatio-temporal point processes, Statistics for inhomogeneous space-time shot-noise Cox processes, A Bayesian hierarchical spatial point process model for multi-type neuroimaging meta-analysis, Asymptotic properties of an empiricalK-function for inhomogeneous spatial point processes, Characterising forest spatial structure through inhomogeneous second order characteristics, Stochastic reconstruction for inhomogeneous point patterns, Structured space-sphere point processes and \(K\)-functions, Testing the first-order separability hypothesis for spatio-temporal point patterns, A fast spectral quasi-likelihood approach for spatial point processes, Nonparametric indices of dependence between components for inhomogeneous multivariate random measures and marked sets, A least-squares cross-validation bandwidth selection approach in pair correlation function estimations, Decomposition of Variance for Spatial Cox Processes, A Studentized Permutation Test for the Comparison of Spatial Point Patterns, Overall and pairwise segregation tests based on nearest neighbor contingency tables, Globally intensity-reweighted estimators for $K$- and pair correlation functions, Goodness-of-fit test of the mark distribution in a point process with non-stationary marks, Geometric Anisotropic Spatial Point Pattern Analysis and Cox Processes, Thinning spatial point processes into Poisson processes, An Estimating Function Approach to Inference for Inhomogeneous Neyman–Scott Processes, Spatial Clustering Tests Based on the Domination Number of a New Random Digraph Family, Gibbs point processes for studying the development of spatial-temporal stochastic processes., Cell-specific and post-hoc spatial clustering tests based on nearest neighbor contingency tables, Assessment of point process models for earthquake forecasting, Spatial and spatio-temporal log-Gaussian Cox processes: extending the geostatistical paradigm, Fast bandwidth selection for estimation of the pair correlation function, Second‐Order Analysis of Inhomogeneous Spatial Point Processes Using Case–Control Data, Structured Spatio-Temporal Shot-Noise Cox Point Process Models, with a View to Modelling Forest Fires, New Tests of Spatial Segregation Based on Nearest Neighbour Contingency Tables, Multivariate product-shot-noise Cox point process models, NON-PARAMETRIC BAYESIAN INFERENCE FOR INHOMOGENEOUS MARKOV POINT PROCESSES, Inhomogeneous spatial point processes by location-dependent scaling, Hidden Second-order Stationary Spatial Point Processes, Variance Estimation for Statistics Computed from Inhomogeneous Spatial Point Processes, Functional summary statistics for the Johnson–Mehl model, Functional Principal Component Analysis of Spatiotemporal Point Processes With Applications in Disease Surveillance, Inference for Clustered Inhomogeneous Spatial Point Processes, From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas, Stochastic Quasi-Likelihood for Case-Control Point Pattern Data, Bayesian Semiparametric Intensity Estimation for Inhomogeneous Spatial Point Processes, Shot noise Cox processes, Residual analysis methods for space-time point processes with applications to earthquake forecast models in California, Parameter Estimation for Inhomogeneous Space‐Time Shot‐Noise Cox Point Processes, Residual Analysis for Spatial Point Processes (with Discussion), Two-way layout factorial experiments of spatial point pattern responses in mineral flotation, Diffusion smoothing for spatial point patterns, Bootstrapping an inhomogeneous point process, Unnamed Item, Classification of events using local pair correlation functions for spatial point patterns, A J‐function for Inhomogeneous Spatio‐temporal Point Processes, On Some Statistical Properties of the Spatio-Temporal Product Density, Nonparametric Measures of Association between a Spatial Point Process and a Random Set, with Geological Applications, Local spatial log-Gaussian Cox processes for seismic data, Test for the first-order stationarity for spatial point processes in arbitrary regions, Geometrically Corrected Second Order Analysis of Events on a Linear Network, with Applications to Ecology and Criminology, Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology, Optimisation of linear unbiased intensity estimators for point processes, Random partition models and complementary clustering of Anglo-Saxon place-names