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Volumn 51, Issue 2, 1995, Pages 579-588
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An empirical Bayes approach to smoothing in backcalculation of HIV infection rates
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Author keywords
AIDS; Backcalculation; Bootstrap; Deconvolution; EM algorithm; Empirical Bayes; Penalized likelihood; Smoothing
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Indexed keywords
DECONVOLUTION;
DISEASES;
MAXIMUM LIKELIHOOD;
PARAMETER ESTIMATION;
VIRUSES;
AIDS;
BACKCALCULATIONS;
BOOTSTRAP;
DECONVOLUTIONS;
EMPIRICAL BAYES;
EXPECTATIONS MAXIMIZATION ALGORITHMS;
INFECTION RATES;
PENALIZED LIKELIHOOD;
PENALIZED-LIKELIHOOD;
SMOOTHING;
RANDOM PROCESSES;
ARTICLE;
BAYES THEOREM;
GEOGRAPHIC DISTRIBUTION;
HUMAN;
HUMAN IMMUNODEFICIENCY VIRUS INFECTION;
HUMAN IMMUNODEFICIENCY VIRUS PREVALENCE;
INCIDENCE;
INFECTION RATE;
MATHEMATICAL COMPUTING;
UNITED STATES;
HUMAN IMMUNODEFICIENCY VIRUS;
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EID: 0029126285
PISSN: 0006341X
EISSN: None
Source Type: Journal
DOI: 10.2307/2532946 Document Type: Article |
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Times cited : (17)
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References (0)
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