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A Gaussian random field model for similarity-based smoothing in Bayesian disease mapping
Maria Helena Miranda Flores Baptista
NOVA Information Management School (NOVA IMS)
Research output
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Thesis
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Doctoral Thesis
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Dive into the research topics of 'A Gaussian random field model for similarity-based smoothing in Bayesian disease mapping'. Together they form a unique fingerprint.
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Mathematics
Disease Mapping
100%
Gaussian Random Field
81%
Gaussian Markov Random Field
66%
Smoothing
59%
Similarity
55%
Determinant
27%
Adjacency
24%
Model
21%
Simulation Study
15%
Spatial Correlation
15%
Alcohol
14%
Relative Risk
13%
Risk Factors
13%
Health
11%
Autocorrelation
11%
Cancer
11%
Covariates
9%
Evidence
9%
Modeling
7%