[Universität Bremen]


Institut für Statistik

Angelika van der Linde

[FB3-Mathematik]

/ Department of Mathematics and Computer Sciences / Institute of Statistics / staff / Angelika van der Linde

Angelika van der Linde email: avdl@math.uni-bremen.de
  Phone: 0421-218-63778
Secretary: 0421-218-63750
Fax: 0421-218-9863778
Extraordinary Professor, retired Address: Universität Bremen, FB 3
PO Box 33 04 40
D-28334 Bremen
Visitors: Room 6350, Floor 6, Building MZH
Bibliothekstr. 1
D-28359 Bremen, Germany



Recent papers:
A. van der Linde (2011):
Reduced rank regression models with latent variables in Bayesian functional data analysis.
Bayesian Analysis 6(1), 77-126.
A. van der Linde (2010):
Reduced Rank Regression in Bayesian FDA.
Technical Report, Institute for Statistics, Department of Mathematics and Computer Sciences, University of Bremen.
PDF-File: technical report (164 KB)
A. van der Linde (2009):
Bayesian functional principal components analysis for binary and count data.
Advances in Statistical Analysis 93, 307-333.
PDF-File: paper, preliminary version (579 KB)
A. van der Linde (2008):
Variational Bayesian Functional PCA.
Comp. Statist. Data Anal. 53, 517-533.
PDF-File: paper, preliminary version (404 KB)
A. van der Linde and G. Tutz (2008):
On association in regression: the coefficient of determination revisited.
statistics 42(1), 1-24.
preliminary: Discussion paper 391, June 2004, SFB 386, Ludwig-Maximilian-Universität München.
PDF-File: Paper (337 KB)
A. van der Linde (2007):
Local Influence on Posterior Distributions under Multiplicative Modes of Perturbations.
Bayesian Analysis 2(2), 319-332.
PDF-File: Paper (164 KB)
Daniel Peña and A. van der Linde (2007):
Dimensionless Measures of Variability and Dependence for Multivariate Continuous Distributions.
Communications in Statistics 36(10), 1845-1854.
PDF-File: preliminary paper (378 KB)
A. van der Linde (2005):
DIC in variable selection.
statistica neerlandica 59(1), 45-56.
PDF-File: preliminary paper (168 KB)
A. van der Linde and G. Osius (2002):
Discrimination Based on an Odds Ratio Parameterization.
Bayesian Statistics 7, Bernardo, J.M. et al. (eds.), Clarendon Press: Oxford 2003, 233-248.
PDF-File: Paper (250 KB)
A. van der Linde (2002):
On the association between a random parameter and an observable.
MATHEMATIK-ARBEITSPAPIERE, No. 57, University of Bremen.
Final version in: TEST 13 (2004), 85-111.
PDF-File: Paper (703 KB)
A. van der Linde (2002):
Dimension reduction and linear discriminant functions based on an odds ratio parameterization.
MATHEMATIK-ARBEITSPAPIERE, No. 56, University of Bremen.
PDF-File: Paper (1.019 KB)
Final version in: International Statistical Review 71 (2003), 629-666, titel:
"Dimension reduction with linear discriminant functions based on an odds ratio parameterization".
D.Spiegelhalter, N.Best, B.Carlin, A.van der Linde (2002):
Bayesian measures of model complexity and fit.
Paper with discussion in JRSS B64(4), 2002, 583-639.
PDF-File: Preprint (485 KB)
A. van der Linde (2000):
Model complexity and model priors.
To appear in the Proceedings of the workshop on "Nonlinear Estimation and Classification", 19.-29.3.2001, MSRI, Berkeley, California, USA.
PDF-File: Paper (184 KB)
A. van der Linde (1999):
Reference Priors for Smoothing and Shrinkage Parameters.
Final version in Journal of Statistical Planning and Inference 90 (2000), 245-274.
PDF-File: Paper (604 KB)
A. van der Linde (1999):
PCA-Based Dimension Reduction for Splines.
Final version in Nonparametric Statistics 15(1), 2003, 77-92.
PDF-File: Paper (555 KB)
A. van der Linde and G. Osius (1997):
Estimation of nonparametric risk functions in matched case-control studies. MATHEMATIK-ARBEITSPAPIERE, No. 49, University of Bremen.
First version of a paper in Statistics in Medicine 20 (2001), 1639-1662.
PDF-Files: Paper (1408 KB, 7-Mar-2001), Abstract




University of Bremen / Department of Mathematics and Computer Sciences / Institute of Statistics / staff / Angelika van der Linde
[Webmaster] [Angelika van der Linde] 16th of Sep. 2011