Fast covariance estimation for innovations computed from a spatial Gibbs point process
type: Dataset
description: International audience
issued: 2026-05-10T03:43:07.474917
language: en
modified: 2026-05-10T03:43:07.474922
contact point: Organization
  fn: CCSD
keyword: confidence-intervals
keyword: exponential-family-models
keyword: georgii-nguyen-zessin-formula
keyword: infoeu-reposemanticsarticle
keyword: innovation-process
keyword: journal-articles
keyword: mathmath-stmathematics-mathstatistics-mathst
keyword: maximum-pseudo-likelihood
keyword: statthstatistics-statstatistics-theory-statth
landing page: 0303-6898

Fast covariance estimation for innovations computed from a spatial Gibbs point process
type: Distribution
format: HTML
issued: 2026-05-10T03:43:07.478405
modified: 2026-05-10T03:43:07.464406
access URL: https://hal.science/hal-00850424

test_moissonnage_selune
type: Agent