Wavelet-based scalar-on-function finite mixture regression models
نویسندگان
چکیده
منابع مشابه
Wavelet-based scalar-on-function finite mixture regression models
Classical finite mixture regression is useful for modeling the relationship between scalar predictors and scalar responses arising from subpopulations defined by the di ering associations between those predictors and responses. The classical finite mixture regression model is extended to incorporate functional predictors by taking a wavelet-based approach in which both the functional predictors...
متن کاملFunctional wavelet regression for linear function-on-function models
1 Appendix B: Additional proofs of theorems . . . . . . . . . . . . . . . 2 1.1 Proof of Theorem 4.2 . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 Proof of Theorem 4.3 . . . . . . . . . . . . . . . . . . . . . . . . . 17 2 Appendix D: Proofs of technical lemmas . . . . . . . . . . . . . . . . . 21 3 Appendix C: Additional simulation . . . . . . . . . . . . . . . . . . . . 44 4 Appendi...
متن کاملAn Overview of the New Feature Selection Methods in Finite Mixture of Regression Models
Variable (feature) selection has attracted much attention in contemporary statistical learning and recent scientific research. This is mainly due to the rapid advancement in modern technology that allows scientists to collect data of unprecedented size and complexity. One type of statistical problem in such applications is concerned with modeling an output variable as a function of a sma...
متن کاملVariable Selection in Finite Mixture of Regression Models
In the applications of finite mixture of regression (FMR) models, often many covariates are used, and their contributions to the response variable vary from one component to another of the mixture model. This creates a complex variable selection problem. Existing methods, such as the Akaike information criterion and the Bayes information criterion, are computationally expensive as the number of...
متن کاملScalar Fuzzy Regression Models
In this paper, we propose a scalar variable formation of fuzzy regression model based on the axiomatic credibility measure foundation. The fuzzy estimation for fuzzy regression coefficients is investigated. A general M-estimation criterion is developed under Maximum Fuzzy Uncertainty Principle, which resulted in weighted Normal equation with adjusted term for M-estimator of the regression coeff...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2016
ISSN: 0167-9473
DOI: 10.1016/j.csda.2014.11.017