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Semiparametric regression for count data
Cinzia Carota, Giovanni Parmigiani
School of Medicine
Research output
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Contribution to journal
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Article
›
peer-review
33
Scopus citations
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Dive into the research topics of 'Semiparametric regression for count data'. Together they form a unique fingerprint.
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Mathematics
Semiparametric Regression
89%
Count Data
75%
Dirichlet Process
55%
Generalized Linear Model
47%
Distribution Function
37%
Modeling
29%
Breast Cancer
27%
Process Mean
27%
Semiparametric Model
25%
Bayesian Model
25%
Marginal Distribution
22%
Regression Coefficient
22%
Posterior distribution
22%
Count
19%
Closed-form
18%
Regression
17%
Computing
13%
Relationships
13%
Form
9%
Model
7%
Class
6%
Business & Economics
Semiparametric Regression
100%
Count Data
89%
Dirichlet Process
70%
Generalized Linear Model
59%
Semiparametric Model
30%
Process Mean
30%
Breast Cancer
29%
Posterior Distribution
29%
Regression Coefficient
26%
Modeling
26%
Inference
18%
Medicine & Life Sciences
Linear Models
52%
Datasets
26%
Breast Neoplasms
21%
Agriculture & Biology
linear models
34%
breast neoplasms
19%
Engineering & Materials Science
Distribution functions
34%