Bayesian Semiparametric Intensity Estimation for Inhomogeneous Spatial Point Processes

Biometrics

Volumn 67, Issue 3, 2011, Pages 937-946

  Yue, Yu Ryan ^a   Loh, Ji Meng ^b  

^a CITY UNIVERSITY OF NEW YORK   (United States)

^b AT AND T LABS RESEARCH   (United States)

Author keywords

Adaptive spatial smoothing; Gaussian Markov random fields; Gibbs sampling; Intensity estimation; Spatial point process

Indexed keywords

GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; INFERENCE ENGINES; INTELLIGENT SYSTEMS; MARKOV PROCESSES;

ADAPTIVE SPATIAL SMOOTHING; BAYESIAN; DATAPOINTS; GAUSSIAN MARKOV RANDOM FIELD; GIBBS SAMPLING; INTENSITY ESTIMATION; POISSON REGRESSION; SEMIPARAMETRIC; SPATIAL POINT PROCESS; SPATIAL SMOOTHING;

MONTE CARLO METHODS;

ALGORITHM; BAYESIAN ANALYSIS; DATA SET; ESTIMATION METHOD; INHOMOGENEITY; MARKOV CHAIN; MONTE CARLO ANALYSIS; PARAMETERIZATION; SAMPLING; SMOOTHING; SPATIAL ANALYSIS;

EID: 80052819042     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2010.01531.x     Document Type: Article

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