Sciweavers

CSDA
2007
101views more  CSDA 2007»
13 years 4 months ago
The evaluation of evidence for exponentially distributed data
At present, likelihood ratios for two-level models are determined with the use of a normal kernel estimation procedure when the between-group distribution is thought to be non-nor...
C. G. G. Aitken, Qiang Shen, Richard Jensen, B. Ha...
CSDA
2007
137views more  CSDA 2007»
13 years 4 months ago
Fitting finite mixtures of generalized linear regressions in R
R package flexmix provides flexible modelling of finite mixtures of regression models using the EM algorithm. Several new features of the software such as fixed and nested var...
Bettina Grün, Friedrich Leisch
CSDA
2007
67views more  CSDA 2007»
13 years 4 months ago
A robust estimator for the tail index of Pareto-type distributions
B. Vandewalle, J. Beirlant, Andreas Christmann, Mi...
CSDA
2007
92views more  CSDA 2007»
13 years 4 months ago
The Bayes factor for inequality and about equality constrained models
The Bayes factor is a useful tool for evaluating sets of inequality and about equality constrained models. In the approach described, the Bayes factor for a constrained model with...
Irene Klugkist, Herbert Hoijtink
CSDA
2007
148views more  CSDA 2007»
13 years 4 months ago
Classifying densities using functional regression trees: Applications in oceanology
The problem of building a regression tree is considered when the response variable is a probability density function. Splitting criteria which are well adapted to measure the diss...
David Nerini, Badih Ghattas
CSDA
2007
74views more  CSDA 2007»
13 years 4 months ago
Inference via kernel smoothing of bootstrap P values
Jeffrey S. Racine, James G. MacKinnon
CSDA
2007
102views more  CSDA 2007»
13 years 4 months ago
Smooth functions and local extreme values
Given a sample of n observations y1, . . . , yn at time points t1, . . . , tn we consider the problem of specifying a function ˜f such that ˜f • is smooth, • fits the data ...
A. Kovac
CSDA
2007
88views more  CSDA 2007»
13 years 4 months ago
Depth-based inference for functional data
Sara López-Pintado, Juan Romo
CSDA
2007
108views more  CSDA 2007»
13 years 4 months ago
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio