Pages that link to "Item:Q4407093"
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The following pages link to Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns (Q4407093):
Displaying 50 items.
- Globally intensity-reweighted estimators for $K$- and pair correlation functions (Q61516) (← links)
- Spatial Clustering Tests Based on the Domination Number of a New Random Digraph Family (Q82973) (← links)
- Cell-specific and post-hoc spatial clustering tests based on nearest neighbor contingency tables (Q98296) (← links)
- Random partition models and complementary clustering of Anglo-Saxon place-names (Q262348) (← links)
- On the higher order product density functions of a Neyman-Scott cluster point process (Q310657) (← links)
- Summary statistics for inhomogeneous marked point processes (Q312605) (← links)
- Point pattern analysis of spatial deformation and blurring effects on exceedances (Q321461) (← links)
- Asymptotic properties of the minimum contrast estimators for projections of inhomogeneous space-time shot-noise Cox processes. (Q331312) (← links)
- Distinguishing different types of inhomogeneity in Neyman-Scott point processes (Q479146) (← links)
- On random marked sets with a smaller integer dimension (Q479149) (← links)
- Estimating second-order characteristics of inhomogeneous spatio-temporal point processes (Q479151) (← links)
- Statistics for inhomogeneous space-time shot-noise Cox processes (Q479152) (← links)
- A Bayesian hierarchical spatial point process model for multi-type neuroimaging meta-analysis (Q484056) (← links)
- Poisson point process models solve the ``pseudo-absence problem'' for presence-only data in ecology (Q614153) (← links)
- A fast spectral quasi-likelihood approach for spatial point processes (Q680476) (← links)
- Goodness-of-fit test of the mark distribution in a point process with non-stationary marks (Q693324) (← links)
- Residual analysis methods for space-time point processes with applications to earthquake forecast models in California (Q765997) (← links)
- Optimisation of linear unbiased intensity estimators for point processes (Q816590) (← links)
- Two step estimation for Neyman-Scott point process with inhomogeneous cluster centers (Q892449) (← links)
- Point process diagnostics based on weighted second-order statistics and their asymptotic properties (Q904056) (← links)
- Overall and pairwise segregation tests based on nearest neighbor contingency tables (Q961711) (← links)
- Bootstrapping an inhomogeneous point process (Q1044067) (← links)
- A Bayesian mixture model to quantify parameters of spatial clustering (Q1663157) (← links)
- Characterising forest spatial structure through inhomogeneous second order characteristics (Q1741086) (← links)
- A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA) (Q1939998) (← links)
- From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas (Q2062763) (← links)
- Two-way layout factorial experiments of spatial point pattern responses in mineral flotation (Q2074689) (← links)
- Diffusion smoothing for spatial point patterns (Q2075800) (← links)
- Classification of events using local pair correlation functions for spatial point patterns (Q2084443) (← links)
- Local spatial log-Gaussian Cox processes for seismic data (Q2106831) (← links)
- Spatial CART classification trees (Q2135924) (← links)
- Inhomogeneous spatio-temporal point processes on linear networks for visitors' stops data (Q2154180) (← links)
- Cluster analysis of spatial point patterns: posterior distribution of parents inferred from offspring (Q2195544) (← links)
- Contributions of spatial point process modelling to biodiversity theory (Q2197335) (← links)
- Inhomogeneous higher-order summary statistics for point processes on linear networks (Q2209701) (← links)
- Nonparametric estimation of the pair correlation function of replicated inhomogeneous point processes (Q2209829) (← links)
- Stochastic reconstruction for inhomogeneous point patterns (Q2241598) (← links)
- Structured space-sphere point processes and \(K\)-functions (Q2241603) (← links)
- Testing the first-order separability hypothesis for spatio-temporal point patterns (Q2242026) (← links)
- Test for the first-order stationarity for spatial point processes in arbitrary regions (Q2348802) (← links)
- Parameter estimation for growth interaction processes using spatio-temporal information (Q2359519) (← links)
- Two-step estimation procedures for inhomogeneous shot-noise Cox processes (Q2397333) (← links)
- Book review of: A. Baddeley et al., Spatial point patterns: methodology and applications with R (Q2399825) (← links)
- Substationarity for spatial point processes (Q2418502) (← links)
- Self-exciting hurdle models for terrorist activity (Q2428738) (← links)
- Hidden Markov models for the activity profile of terrorist groups (Q2441870) (← links)
- A least-squares cross-validation bandwidth selection approach in pair correlation function estimations (Q2471250) (← links)
- Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data (Q2666061) (← links)
- Multivariate product-shot-noise Cox point process models (Q2809528) (← links)
- Non-parametric Bayesian inference for inhomogeneous Markov point processes (Q2810356) (← links)
