Bias correction for parameter estimates of spatial point process models

QR Code

Bias correction for parameter estimates of spatial point process models

When a spatial point process model is fitted to spatial point pattern data using standard software, the parameter estimates are typically biased. Contrary to folklore, the bias does not reflect weaknesses of the underlying mathematical methods, but is mainly due to the effects of discretization of t...

Full description

Bibliographic Details
Main Authors:	Baddeley, Adrian, Turner, R.
Format:	Journal Article
Published:	TAYLOR & FRANCIS LTD 2014
Online Access:	http://hdl.handle.net/20.500.11937/15152

Similar Items

Nonparametric estimation of the dependence of a spatial point process on spatial covariates
by: Baddeley, Adrian, et al.
Published: (2012)

Variational estimators for the parameters of Gibbs point process models
by: Baddeley, Adrian, et al.
Published: (2013)

Leverage and influence diagnostics for Gibbs spatial point processes
by: Baddeley, Adrian, et al.
Published: (2019)

Residual diagnostics for covariate effects in spatial point process models
by: Baddeley, Adrian, et al.
Published: (2013)

Adjusted composite likelihood ratio test for spatial Gibbs point processes
by: Baddeley, Adrian, et al.
Published: (2015)

Local composite likelihood for spatial point processes
by: Baddeley, Adrian
Published: (2016)

Spatial point patterns - Methodology and applications with R
by: Baddeley, Adrian, et al.
Published: (2015)

Approximating the moments of a spatial point process
by: Baddeley, Adrian, et al.
Published: (2012)

Chapter 3: Spatial point patterns: Models and statistics
by: Baddeley, Adrian
Published: (2013)

Properties of residuals for spatial point processes
by: Baddeley, Adrian, et al.
Published: (2008)

Leverage and Influence Diagnostics for Spatial Point Processes
by: Baddeley, Adrian, et al.
Published: (2013)

Score, Pseudo-Score and Residual Diagnostics for Spatial Point Process Models
by: Baddeley, Adrian, et al.
Published: (2011)

Logistic regression for spatial Gibbs point processes
by: Baddeley, Adrian, et al.
Published: (2014)

Hybrids of Gibbs point process models and their implementation
by: Baddeley, Adrian, et al.
Published: (2013)

Spatial logistic regression and change-of-support in Poisson point processes
by: Baddeley, Adrian, et al.
Published: (2010)

Filters for Spatial point Processes
by: Singh, S., et al.
Published: (2009)

Fast computation of spatially adaptive kernel estimates
by: Davies, T., et al.
Published: (2017)

Diffusion Smoothing for Spatial Point Patterns
by: Baddeley, Adrian, et al.
Published: (2022)

Fast approximation of the intensity of Gibbs point processes
by: Baddeley, Adrian, et al.
Published: (2012)

Application of bias correction in climate prediction
by: Zuraida, Hasbullah
Published: (2017)

Assessing the implementation of bias correction in the climate prediction
by: Nurul Nadrah Aqilah, Tukimat
Published: (2018)

Point process models for presence-only analysis
by: Renner, I., et al.
Published: (2015)

POISSON-SADDLEPOINT APPROXIMATION FOR GIBBS POINT PROCESSES WITH INFINITE-ORDER INTERACTION: IN MEMORY OF PETER HALL
by: Baddeley, Adrian, et al.
Published: (2017)

Multitype point process analysis of spines on the dendrite network of a neuron
by: Baddeley, Adrian, et al.
Published: (2014)

On the detectability of mis-modeled biases in the network-derived positioning corrections and their user impact
by: Khodabandeh, A., et al.
Published: (2019)

Robust spatial diagnostic method and parameter estimation for spatial big data regression model
by: Ali, Mohammed Baba
Published: (2022)

“Stationary” point processes are uncommon on linear networks
by: Baddeley, Adrian, et al.
Published: (2017)

Numerical solution of an integral equation from point process theory
by: Anderssen, R., et al.
Published: (2014)

Predicting and correcting scale induced biases resulting from the application of regional orbit and clock corrections
by: Huisman, L., et al.
Published: (2015)

Spatial heterogeneity and spatial bias analyses in hedonic price models: some practical considerations
by: Khalid, Haniza
Published: (2015)

Integer estimation in the presence of biases
by: Teunissen, Peter
Published: (2001)

Projection of temperature in relation to cardiovascular disease using bias correction method
by: Aina Izzati Mohd Esa,, et al.
Published: (2020)

Projection of temperature in relation to cardiovascular disease using bias correction method
by: Mohd Esa, Aina Izzati, et al.
Published: (2020)

Bias field correction-based active contour model for region of interest extraction in digital image
by: Rosli, Nurul Ain Suraya, et al.
Published: (2023)

Spatial and Spectral Representations of the Geoid-to-Quasigeoid Correction
by: Tenzer, R., et al.
Published: (2015)

Geometrically Corrected Second Order Analysis of Events on a Linear Network, with Applications to Ecology and Criminology
by: Ang, Q., et al.
Published: (2012)

Point pattern analysis on a region of a sphere
by: Lawrence, T., et al.
Published: (2016)

An empirical study on the efficiency of the trim and fill method in correcting publication bias in meta analysis
by: Mohd Nasir, Norizzati, et al.
Published: (2011)

Maximizing Likelihood Function for Parameter Estimation in Point Clouds via Groebner Basis
by: Awange, Joseph, et al.
Published: (2014)

Estimating a ratio of means from bivariate counts with applications in stereology
by: Chia, J., et al.
Published: (2011)

Cannot write session to /tmp/vufind_sessions/sess_3je91tl3mqs7j78tsk16oof3rp