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[PDF] Top 20 Shrinkage Estimation for Aalen's Additive Model

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Shrinkage Estimation for Aalen's Additive Model

Shrinkage Estimation for Aalen's Additive Model

... propose shrinkage estimators for the nonparametric regression co- efficients in Aalen’s additive model under a general linear hypothesis involving the ...proposed shrinkage estimators and ... See full document

115

Shrinkage estimation of elliptical regression model under balanced loss function

Shrinkage estimation of elliptical regression model under balanced loss function

... ISBN 978-969-8858-11-7 12th Islamic Countries Conference on Statistical Sciences Statistics for Everyone and Everywhere December 19-22, 2012 at Qatar University, Doha, Qatar Jointly orga[r] ... See full document

8

PARAMETER ESTIMATION OF FALSE
DYNAMIC EIV MODEL WITH ADDITIVE
UNCERTAINTY

PARAMETER ESTIMATION OF FALSE DYNAMIC EIV MODEL WITH ADDITIVE UNCERTAINTY

... the estimation of the parameters for linear dynamic systems when also the input is affected by noise is recognized as more difficult problem which only recently has received increasing ...have additive ... See full document

6

A Novel Generalized Ridge Regression Method for Quantitative Genetics

A Novel Generalized Ridge Regression Method for Quantitative Genetics

... genome based on penalized likelihood or Bayesian shrinkage estimation (see the review by de los Campos et al. 2013). Or- dinary GWAS usually avoids high-dimensional models and turns the problem into ... See full document

14

Bayes Shrinkage Minimax Estimation in Inverse Gaussian Distribution

Bayes Shrinkage Minimax Estimation in Inverse Gaussian Distribution

... The Inverse Gaussian distribution plays an important role in Reliability theory and Life testing problems. It has useful applications in a wide variety of fields such as Biology, Economics, and Medicine. It is used as an ... See full document

6

Shrinkage and Penalty Estimation Strategies in Some Spatial Models

Shrinkage and Penalty Estimation Strategies in Some Spatial Models

... and shrinkage estimators proposed for the three spatial models with respect to the unrestricted ...these estimation procedures to two data sets on housing prices and data on crime ... See full document

239

Flexible Estimation and Testing Methods for Survival Data with Application in Epidemiology and Precision Medicine.

Flexible Estimation and Testing Methods for Survival Data with Application in Epidemiology and Precision Medicine.

... statistical estimation and testing methods for survival data based on three gen- eral semiparamteric survival models and explore their application in epidemiology and precision ...likelihood-based ... See full document

97

Efficient Shrinkage Estimation about the Partially Linear Varying Coefficient Model with Random Effect for Longitudinal Data

Efficient Shrinkage Estimation about the Partially Linear Varying Coefficient Model with Random Effect for Longitudinal Data

... Efficient Shrinkage Estimation about the Partially Linear Varying Coefficient Model with Random Effect for Longitudinal Data Wanbin Li School of Mathematics and Statistics, Yancheng Teac[r] ... See full document

12

Application of Nonparametric Quantile Regression to Estimating Value at Risk.

Application of Nonparametric Quantile Regression to Estimating Value at Risk.

... VaR estimation due to its advan- tage of being distribution ...CAViaR model introduced by Engle and Manganelli (2004), it has attracted much attention because the model takes a recursive fashion like ... See full document

91

Mapping Quantitative Trait Loci Interactions From the Maternal and Offspring Genomes

Mapping Quantitative Trait Loci Interactions From the Maternal and Offspring Genomes

... This model is derived for a simple backcross design within the maximum-likelihood context, implemented with the EM ...this model can provide reasonable estimation of additive and dominant ... See full document

10

Modeling diarrhea disease in children less than 5 years old: a GAM and GLM approach

Modeling diarrhea disease in children less than 5 years old: a GAM and GLM approach

... GAM model (Hastie et ...the model improves the estimates in terms of goodness of fit. The GLM model is explicitlyspecified by giving a symbolic description of the linear predictor and a description ... See full document

11

Estimating polygenic models for multivariate data on large pedigrees.

Estimating polygenic models for multivariate data on large pedigrees.

... In this paper, we retain a ge- netic model with only additive genetic random effects, but extend the development of THOMPSON and SHAW (1990) to accommodate estimation of[r] ... See full document

8

Understanding competing risks: a simulation point of view

Understanding competing risks: a simulation point of view

... Cox model as the major tool to analyse CSHs, other models such as Aalen’s additive model may be used for CSHs, too; see [38] for a recent textbook ... See full document

13

Penalized likelihood estimation of a trivariate additive probit model

Penalized likelihood estimation of a trivariate additive probit model

... iteration of the optimization is not positive-definite then the GHK method uses the most recent positive-definite estimate of the correlation matrix; this runs the risk of delivering es- timates that are far from the ... See full document

69

Advances in Semi-Nonparametric Density Estimation and Shrinkage Regression

Advances in Semi-Nonparametric Density Estimation and Shrinkage Regression

... For the purpose of measuring the characteristics (proteins, etc.) of individual molecul- es, mass spectrometry (MS), which converts those characteristics to ions in some magnetic fields, are utilized to sort and separate ... See full document

179

Fenske, Nora
  

(2012):


	Structured additive quantile regression with applications to modelling undernutrition and obesity of children.


Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik

Fenske, Nora (2012): Structured additive quantile regression with applications to modelling undernutrition and obesity of children. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik

... To complete the picture, Figure 7.9 shows the boosting paths of estimated individual-specific intercepts and slopes for 200 randomly selected children based on the full models for three different quantile parameters. For ... See full document

165

Bayesian Shrinkage Estimation of Quantitative Trait Loci Parameters

Bayesian Shrinkage Estimation of Quantitative Trait Loci Parameters

... the model and all other lar markers is called QTL ...the model are actually lumped into the residual ...the model to include all the significant intervals val that may contain several putative ... See full document

16

Testing and Estimation under Hidden Additivity.

Testing and Estimation under Hidden Additivity.

... the additive model, and analysts can use block-centered data for ...the additive model, and analysts can use the usual ANOVA method for the additive ...the additive model ... See full document

98

Penalized likelihood estimation of a trivariate additive probit model

Penalized likelihood estimation of a trivariate additive probit model

... The data set consists of 61, 426 female newborns (similar results were obtained for male infants) which provides details on infant, maternal health and parental characteristics. The choice of variables included in the ... See full document

29

Efficient Estimation of an Additive Quantile Regression Model

Efficient Estimation of an Additive Quantile Regression Model

... In this paper, we propose two kernel-based estimators for estimating the additive component functions. Our first estimator extends the works of Kim, Linton and Hengartner (1999) and Manzan and Zerom (2005) to the ... See full document

36

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