Estimating second order characteristics of point processes with known independent noise
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Publication:746278
DOI10.1007/s11222-011-9311-7zbMath1322.62117OpenAlexW2147456000WikidataQ107968136 ScholiaQ107968136MaRDI QIDQ746278
H. Dessard, Joël Chadoeuf, Pascal Monestiez, Avner Bar-Hen
Publication date: 16 October 2015
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11222-011-9311-7
Nonparametric estimation (62G05) Nonparametric statistical resampling methods (62G09) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
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- Mixing: Properties and examples
- Spatial statistics in the presence of location error with an application to remote sensing of the environment
- Perfect simulation and inference for point processes given noisy observations
- Robustness for inhomogeneous Poisson point processes
- Analyzing spatial point patterns subject to measurement error
- A Third Order Point Process Characteristic
- Simulation-Extrapolation: The Measurement Error Jackknife
- Handbook of Spatial Statistics
- Filters for Spatial Point Processes
- Intensity Estimation for Spatial Point Processes Observed with Noise
- Reduced Palm distribution generating function for a spatial point process
- Better Bootstrap Confidence Intervals
- Simulation extrapolation deconvolution of finite population cumulative distribution function estimators
- Simulation-Extrapolation Estimation in Parametric Measurement Error Models
- A nonparametric measure of spatial interaction in point patterns
- Goodness-of-fit test for complete spatial randomness against mixtures of regular and clustered spatial point processes
- Models for point processes observed with noise
- Nonparametric regression in the presence of measurement error
- Statistical Analysis and Modelling of Spatial Point Patterns
- An Introduction to the Theory of Point Processes
- Statistical Inference for Spatial Processes
