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~isPartOf:"Computational Statistics & Data Analysis"
~subject:"Einkommensverteilung"
~subject:"Generalized estimating equations"
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Einkommensverteilung
Generalized estimating equations
Longitudinal data
12
Cholesky decomposition
2
Classification
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Generalized linear model
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Heterogeneity
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Kernel method
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Longitudinal data analysis
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Bayesian case-deletion diagnostic
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Centered Dirichlet process prior
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Context-specific graphical model
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Correlation structure selection
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Discrete longitudinal data
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Generalized estimating equation
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Beutels, Ph.
1
Blommaert, A.
1
Feng, Sanying
1
Guo, Chaohui
1
Hens, N.
1
Li, Gaorong
1
Lian, Heng
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Lv, Jing
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Computational Statistics & Data Analysis
Journal of Multivariate Analysis
3
Computational Statistics
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Global Labour in Distress, Volume I : Globalization, Technology and Labour Resilience
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Review of income and wealth
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Review of radical political economics
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An efficient and robust variable selection method for longitudinal generalized linear models
Lv, Jing
;
Yang, Hu
;
Guo, Chaohui
- In:
Computational Statistics & Data Analysis
82
(
2015
)
C
,
pp. 74-88
models (GLMs) with
longitudinal
data
. The proposed method is based on a bounded exponential score function and leverage …
Persistent link: https://www.econbiz.de/10011117685
Saved in:
2
Data mining for
longitudinal
data
under multicollinearity and time dependence using penalized generalized estimating equations
Blommaert, A.
;
Hens, N.
;
Beutels, Ph.
- In:
Computational Statistics & Data Analysis
71
(
2014
)
C
,
pp. 667-680
results reveal the effectiveness of penalization as a data mining tool for
longitudinal
data
, especially when a large number …
Persistent link: https://www.econbiz.de/10010719686
Saved in:
3
Automatic variable selection for longitudinal generalized linear models
Li, Gaorong
;
Lian, Heng
;
Feng, Sanying
;
Zhu, Lixing
- In:
Computational Statistics & Data Analysis
61
(
2013
)
C
,
pp. 174-186
We consider the problem of variable selection for the generalized linear models (GLMs) with
longitudinal
data
. An …
Persistent link: https://www.econbiz.de/10010617234
Saved in:
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