Paul H. C. Eilers

According to our database, Paul H. C. Eilers authored at least 22 papers between 1994 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Spatially Regularized Shape Analysis of the Hippocampus Using P-Spline Based Shape Regression.

Hakim C. Achterberg, Johan J. de Rooi, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Paul H. C. Eilers, Marleen de Bruijne

IEEE J. Biomed. Health Informatics, 2020

2019

On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing.

María Xosé Rodríguez-Álvarez, María Durbán, Dae-Jin Lee, Paul H. C. Eilers

Stat. Comput., 2019

2015

Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm.

María Xosé Rodríguez-Álvarez, Dae-Jin Lee, Thomas Kneib, María Durbán, Paul H. C. Eilers

Stat. Comput., 2015

Fast parametric time warping of peak lists.

Ron Wehrens, Tom G. Bloemberg, Paul H. C. Eilers

Bioinform., 2015

2013

Efficient two-dimensional smoothing with <i>P</i>P-spline ANOVA mixed models and nested bases.

Dae-Jin Lee, María Durbán, Paul H. C. Eilers

Comput. Stat. Data Anal., 2013

GWAS on your notebook: fast semi-parallel linear and logistic regression for genome-wide association studies.

Karolina Sikorska, Emmanuel Lesaffre, Patrick J. F. Groenen, Paul H. C. Eilers

BMC Bioinform., 2013

2011

A time series for monitoring vegetation activity and phenology at 10-daily time steps covering large parts of South America.

Clement Atzberger, Paul H. C. Eilers

Int. J. Digit. Earth, 2011

2010

Bilinear modulation models for seasonal tables of counts.

Brian D. Marx, Paul H. C. Eilers, Jutta Gampe, Roland Rau

Stat. Comput., 2010

Penalized regression with individual deviance effects.

Aris Perperoglou, Paul H. C. Eilers

Comput. Stat., 2010

<i>MLPAinter for MLPA interpretation: </i>an integrated approach for the analysis, visualisation and data management of Multiplex Ligation-dependent Probe Amplification.

Ronald van Eijk, Paul H. C. Eilers, Remco Natté, Anne-Marie Cleton-Jansen, Hans Morreau, Tom van Wezel, Jan Oosting

BMC Bioinform., 2010

2009

Optimal expectile smoothing.

Sabine K. Schnabel, Paul H. C. Eilers

Comput. Stat. Data Anal., 2009

Bayesian density estimation from grouped continuous data.

Philippe Lambert, Paul H. C. Eilers

Comput. Stat. Data Anal., 2009

Better biplots.

Jörg Blasius, Paul H. C. Eilers, John C. Gower

Comput. Stat. Data Anal., 2009

Smoothing waves in array CGH tumor profiles.

Mark A. van de Wiel, Rebecca Brosens, Paul H. C. Eilers, Candy Kumps, Gerrit Meijer, Björn Menten, Erik Sistermans, Frank Speleman, Marieke E. Timmerman, Bauke Ylstra

Bioinform., 2009

2007

3D space-varying coefficient models with application to diffusion tensor imaging.

Susanne Heim, Ludwig Fahrmeir, Paul H. C. Eilers, Brian D. Marx

Comput. Stat. Data Anal., 2007

Non-parametric log-concave mixtures.

Paul H. C. Eilers, M. W. Borgdorff

Comput. Stat. Data Anal., 2007

2006

Fast and compact smoothing on large multidimensional grids.

Paul H. C. Eilers, Iain D. Currie, María Durbán

Comput. Stat. Data Anal., 2006

2005

Multidimensional Penalized Signal Regression.

Brian D. Marx, Paul H. C. Eilers

Technometrics, 2005

Quantile smoothing of array CGH data.

Paul H. C. Eilers, Renée X. de Menezes

Bioinform., 2005

2004

Enhancing scatterplots with smoothed densities.

Paul H. C. Eilers, Jelle J. Goeman

Bioinform., 2004

1999

Generalized Linear Regression on Sampled Signals and Curves: A P-Spline Approach.

Brian D. Marx, Paul H. C. Eilers

Technometrics, 1999

1994

Smoothing and Interpolation with Finite Differences.

Paul H. C. Eilers

Proceedings of the Graphics Gems, 1994