- In statistics, a
semiparametric model is a
statistical model that has
parametric and
nonparametric components. A
statistical model is a
parameterized family...
- In statistics,
semiparametric regression includes regression models that
combine parametric and
nonparametric models. They are
often used in situations...
- {\displaystyle \Theta } is
infinite dimensional. A
statistical model is
semiparametric if it has both finite-dimensional and infinite-dimensional parameters...
- been
developed to
enable efficient estimation within the
resulting semiparametric model. Data ****imilation Data
munging Image fusion Information integration...
-
regression Non-standard
predictors Nonlinear regression Nonparametric Semiparametric Isotonic Robust Homoscedasticity and
Heteroscedasticity Generalized...
- to
estimate a
probability distribution.
Nonparametric regression and
semiparametric regression methods have been
developed based on kernels, splines, and...
- Chinese-American
mathematical statistician whose research interests include semiparametric models,
dimension reduction,
selection bias, and skew-symmetric distributions...
- ISBNÂ 978-1-4419-2933-4. Sinha, Debajyoti; Dey,
Dipak K. (September 1997). "
Semiparametric Bayesian Analysis of
Survival Data".
Journal of the
American Statistical...
-
regression Non-standard
predictors Nonlinear regression Nonparametric Semiparametric Isotonic Robust Homoscedasticity and
Heteroscedasticity Generalized...
- well-known
statistical methods are parametric.
Regarding nonparametric (and
semiparametric) models, Sir
David Cox has said, "These
typically involve fewer ****umptions...
