Filters for Spatial Point Processes

SIAM Journal on Control and Optimization - United States
doi 10.1137/070710457
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Society for Industrial & Applied Mathematics (SIAM)

Related search

Quasi-Likelihood for Spatial Point Processes

Journal of the Royal Statistical Society. Series B: Statistical Methodology
UncertaintyStatisticsProbability
2014English

Bayesian Wombling for Spatial Point Processes

Biometrics
StatisticsGeneticsProbabilityMolecular BiologyBiochemistryApplied MathematicsMicrobiology ImmunologyBiological SciencesMedicineAgricultural
2009English

Discussion of ‘Modern Statistics for Spatial Point Processes’

Scandinavian Journal of Statistics
UncertaintyStatisticsProbability
2007English

Adjusted Composite Likelihood Ratio Test for Spatial Gibbs Point Processes

Journal of Statistical Computation and Simulation
StatisticsProbabilityApplied MathematicsUncertaintySimulationModeling
2015English

Geometric Anisotropic Spatial Point Pattern Analysis and Cox Processes

Scandinavian Journal of Statistics
UncertaintyStatisticsProbability
2014English

Learning Spatial Filters for Multispectral Image Segmentation

2010English

Baseline Regularized Sparse Spatial Filters

2013English

Characterization Results and Markov Chain Monte Carlo Algorithms Including Exact Simulation for Some Spatial Point Processes

Bernoulli
StatisticsProbability
1999English

Robust Point-Mass Filters on Manifolds

IFAC Proceedings Volumes
2009English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy