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Search: Paul H. C. Eilers
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1.
Simultaneous estimation of quantile curves using quantile sheets
Open Access
Title:
Simultaneous estimation of quantile curves using quantile sheets
Author:
Sabine K. Schnabel
;
Paul H. C. Eilers
Sabine K. Schnabel
;
Paul H. C. Eilers
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Description:
The results of quantile smoothing often show crossing curves, in particular, for small data sets. We define a surface, called a quantile sheet, on the domain of the independent variable and the probability. Any desired quantile curve is obtained by evaluating the sheet for a fixed probability. This sheet is modeled by $$P$$splines in form of te...
The results of quantile smoothing often show crossing curves, in particular, for small data sets. We define a surface, called a quantile sheet, on the domain of the independent variable and the probability. Any desired quantile curve is obtained by evaluating the sheet for a fixed probability. This sheet is modeled by $$P$$splines in form of tensor products of $$B$$splines with difference penalties on the array of coefficients. The amount of smoothing is optimized by crossvalidation. An application for reference growth curves for children is presented.
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Publisher:
SpringerVerlag
Year of Publication:
20130101
Source:
AStA Advances in Statistical Analysis, 20130101, Volume 97, pp 7787
AStA Advances in Statistical Analysis, 20130101, Volume 97, pp 7787
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Document Type:
Original Paper
Language:
En
Subjects:
$$P$$splines ; Quantiles ; Smoothing ; Tensor product
$$P$$splines ; Quantiles ; Smoothing ; Tensor product
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URL:
http://dx.doi.org/10.1007/s1018201201981
http://dx.doi.org/10.1007/s1018201201981
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Springer Open Choice
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2.
Penalized regression with individual deviance effects
Open Access
Title:
Penalized regression with individual deviance effects
Author:
Aris Perperoglou
;
Paul H. C. Eilers
Aris Perperoglou
;
Paul H. C. Eilers
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Description:
The present work addresses the problem of model estimation and computations for discrete data when some covariates are modeled smoothly using splines. We propose to introduce and explicitly estimate individual deviance effects (one for each observation), constrained by a ridge penalty. This turns out to be an effective way to absorb model excess...
The present work addresses the problem of model estimation and computations for discrete data when some covariates are modeled smoothly using splines. We propose to introduce and explicitly estimate individual deviance effects (one for each observation), constrained by a ridge penalty. This turns out to be an effective way to absorb model excess variation and detect systematic patterns. Large but very sparse systems of penalized likelihood equations have to be solved. We present fast and compact algorithms for fitting, estimation and computation of the effective dimension. Applications to counts, binomial, and survival data illustrate practical use of this model.
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Publisher:
SpringerVerlag
Year of Publication:
20100601
Source:
Computational Statistics, 20100601, Volume 25, pp 341361
Computational Statistics, 20100601, Volume 25, pp 341361
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Document Type:
Original Paper
Language:
En
Subjects:
Generalized linear models ; Smoothing ; Effective dimension ; Penalized regression
Generalized linear models ; Smoothing ; Effective dimension ; Penalized regression
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URL:
http://dx.doi.org/10.1007/s001800090180x
http://dx.doi.org/10.1007/s001800090180x
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3.
production using expectile frontier zones
Open Access
Title:
production using expectile frontier zones
Author:
Sabine K. Schnabel
;
Paul H. C. Eilers
;
C Sabine K. Schnabel
;
Paul H. C. Eilers
Sabine K. Schnabel
;
Paul H. C. Eilers
;
C Sabine K. Schnabel
;
Paul H. C. Eilers
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Description:
Demographic Research a free, expedited, online journal of peerreviewed research and commentary in the population sciences published by the
Demographic Research a free, expedited, online journal of peerreviewed research and commentary in the population sciences published by the
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20130925
Source:
http://www.demographicresearch.org/volumes/vol21/5/215.pdf
http://www.demographicresearch.org/volumes/vol21/5/215.pdf
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Document Type:
text
Language:
en
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.353.7325
http://www.demographicresearch.org/volumes/vol21/5/215.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.353.7325
http://www.demographicresearch.org/volumes/vol21/5/215.pdf
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4.
Growth charts for children with Ellis–van Creveld syndrome
Open Access
Title:
Growth charts for children with Ellis–van Creveld syndrome
Author:
Sabine Verbeek
;
Paul H. C. Eilers
;
Kate Lawrence
;
Raoul C. M. Hennekam
;
Florens G. A. Versteegh
Sabine Verbeek
;
Paul H. C. Eilers
;
Kate Lawrence
;
Raoul C. M. Hennekam
;
Florens G. A. Versteegh
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Description:
Ellis–van Creveld (EvC) syndrome is a congenital malformation syndrome with marked growth retardation. In this study, specific growth charts for EvC patients were derived to allow better followup of growth and earlier detection of growth patterns unusual for EvC. With the use of 235 observations of 101 EvC patients (49 males, 52 females), growt...
Ellis–van Creveld (EvC) syndrome is a congenital malformation syndrome with marked growth retardation. In this study, specific growth charts for EvC patients were derived to allow better followup of growth and earlier detection of growth patterns unusual for EvC. With the use of 235 observations of 101 EvC patients (49 males, 52 females), growth charts for males and females from 0 to 20 years of age were derived. Longitudinal and crosssectional data were collected from an earlier review of growth data in EvC, a database of EvC patients, and from recent literature. To model the growth charts, the GAMLSS package for the R statistical program was used. Height of EvC patients was compared to healthy children using Dutch growth charts. Data are presented both on a scale for age and on a scale for the square root of age. Compared to healthy Dutch children, mean height standard deviation score values for male and female EvC patients were −3.1 and −3.0, respectively. The present growth charts should be useful in the followup of EvC patients. Most importantly, early detection of growth hormone deficiency, known to occur in EvC, will be facilitated.
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Publisher:
SpringerVerlag
Year of Publication:
20110201
Source:
European Journal of Pediatrics, 20110201, Volume 170, pp 207211
European Journal of Pediatrics, 20110201, Volume 170, pp 207211
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Document Type:
Original Paper
Language:
En
Subjects:
Growth ; Body height ; Ellis–van Creveld syndrome ; Growth charts
Growth ; Body height ; Ellis–van Creveld syndrome ; Growth charts
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URL:
http://dx.doi.org/10.1007/s0043101012873
http://dx.doi.org/10.1007/s0043101012873
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5.
Flexible smoothing with Bsplines and penalties
Open Access
Title:
Flexible smoothing with Bsplines and penalties
Author:
Paul H. C. Eilers
;
Dcmr Milieudienst Rijnmond
;
Brian D. Marx
Paul H. C. Eilers
;
Dcmr Milieudienst Rijnmond
;
Brian D. Marx
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Description:
Bsplines are attractive for nonparametric modelling, but choosing the optimal number and positions of knots is a complex task. Equidistant knots can be used, but their small and discrete number allows only limited control over smoothness and fit. We propose to use a relatively large number of knots and a difference penalty on coefficients of ad...
Bsplines are attractive for nonparametric modelling, but choosing the optimal number and positions of knots is a complex task. Equidistant knots can be used, but their small and discrete number allows only limited control over smoothness and fit. We propose to use a relatively large number of knots and a difference penalty on coefficients of adjacent Bsplines. We show connections to the familiar spline penalty on the integral of the squared second derivative. A short overview of Bsplines, their construction, and penalized likelihood is presented. We discuss properties of penalized Bsplines and propose various criteria for the choice of an optimal penalty parameter. Nonparametric logistic regression, density estimation and scatterplot smoothing are used as examples. Some details of the computations are presented. Keywords: Generalized linear models, smoothing, nonparametric models, splines, density estimation. Address for correspondence: DCMR Milieudienst Rijnmond, 'sGravelandse.
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20090412
Source:
ftp://ftp.stat.rice.edu/pub/scottdw/Stat.Science/pspline.ps.gz
ftp://ftp.stat.rice.edu/pub/scottdw/Stat.Science/pspline.ps.gz
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Document Type:
text
Language:
en
Subjects:
Generalized linear models ; smoothing ; nonparametric models ; splines ; density estimation
Generalized linear models ; smoothing ; nonparametric models ; splines ; density estimation
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DDC:
310 Collections of general statistics
(computed)
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.4521
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.4521
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6.
Haplotype Estimation from Fuzzy Genotypes Using Penalized Likelihood
Open Access
Title:
Haplotype Estimation from Fuzzy Genotypes Using Penalized Likelihood
Author:
Haewon Uh
;
Paul H. C. Eilers
Haewon Uh
;
Paul H. C. Eilers
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Description:
The Composite Link Model is a generalization of the generalized linear model in which expected values of observed counts are constructed as a sum of generalized linear components. When combined with penalized likelihood, it provides a powerful and elegant way to estimate haplotype probabilities from observed genotypes. Uncertain (‘‘fuzzy’’) geno...
The Composite Link Model is a generalization of the generalized linear model in which expected values of observed counts are constructed as a sum of generalized linear components. When combined with penalized likelihood, it provides a powerful and elegant way to estimate haplotype probabilities from observed genotypes. Uncertain (‘‘fuzzy’’) genotypes, like those resulting from AFLP scores, can be handled by adding an extra layer to the model. We describe the model and the estimation algorithm. We apply it to a data set of accurate human single nucleotide polymorphism (SNP) and to a data set of fuzzy tomato AFLP scores.
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20130709
Source:
ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/e6/b6/PLoS_One_2011_Sep_8_6(9)_e24219.tar.gz
ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/e6/b6/PLoS_One_2011_Sep_8_6(9)_e24219.tar.gz
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Document Type:
text
Language:
en
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.288.7097
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.288.7097
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7.
Multidimensional density smoothing with P splines
Open Access
Title:
Multidimensional density smoothing with P splines
Author:
Paul H. C. Eilers
;
Brian D. Marx
Paul H. C. Eilers
;
Brian D. Marx
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Abstract: We propose a simple and effective multidimensional density estimator. Our approach is essentially penalized Poisson regression using a rich tensor product Bspline basis, where the Poisson counts come from processing the data into a multidimensional histogram, often consisting of thousands of bins. The penalty enforces smoothness of t...
Abstract: We propose a simple and effective multidimensional density estimator. Our approach is essentially penalized Poisson regression using a rich tensor product Bspline basis, where the Poisson counts come from processing the data into a multidimensional histogram, often consisting of thousands of bins. The penalty enforces smoothness of the Bspline coefficients, specifically within the rows, columns, layers–depending on the dimension. In this paper, we focus on how a onedimensional Pspline density estimator can be extended to twodimensions, and beyond. In higher dimensions we provide a hint on how efficient grid algorithms can be implemented using array regression. Our approach optimizes the penalty weight parameter(s) using information criteria, specifically AIC. Two examples illustrate our method in twodimensions.
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20150111
Source:
http://www.macs.hw.ac.uk/~iain/research/GLAM/Galway_EM/Galway_EM.pdf
http://www.macs.hw.ac.uk/~iain/research/GLAM/Galway_EM/Galway_EM.pdf
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Document Type:
text
Language:
en
Subjects:
AIC ; Effective Dimension ; Tensor Product
AIC ; Effective Dimension ; Tensor Product
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Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.527.381
http://www.macs.hw.ac.uk/~iain/research/GLAM/Galway_EM/Galway_EM.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.527.381
http://www.macs.hw.ac.uk/~iain/research/GLAM/Galway_EM/Galway_EM.pdf
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8.
Quantile smoothing of array CGH data
Open Access
Title:
Quantile smoothing of array CGH data
Author:
Paul H. C. Eilers
;
Renée X. De Menezes
Paul H. C. Eilers
;
Renée X. De Menezes
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Description:
Motivation: Plots of array Comparative Genomic Hybridization (CGH) data often show special patterns: stretches of constant level (copy number) with sharp jumps between them. There also can be much noise. Classic smoothing algorithms do not work well, because they introduce too much rounding. To remedy this, we introduce a fast and effective smoo...
Motivation: Plots of array Comparative Genomic Hybridization (CGH) data often show special patterns: stretches of constant level (copy number) with sharp jumps between them. There also can be much noise. Classic smoothing algorithms do not work well, because they introduce too much rounding. To remedy this, we introduce a fast and effective smoothing algorithm based on penalized quantile regression. It can compute arbitrary quantile curves, but we concentrate on the median to show the trend and the lower and upper quartile curves to show the spread of the data. Twofold crossvalidation is used for optimizing the weight of the penalties. Results: Simulated data and a published data set are used to show the capabilities of the method to detect segments of changed copy numbers in array CGH data. Availability: Software for R and Matlab is available. Contact:
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20080717
Source:
http://bioinformatics.oxfordjournals.org/cgi/reprint/bti148v1.pdf
http://bioinformatics.oxfordjournals.org/cgi/reprint/bti148v1.pdf
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Document Type:
text
Language:
en
Subjects:
Linear programming ; L1 norm ; crossvalidation. 1
Linear programming ; L1 norm ; crossvalidation. 1
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.3447
http://bioinformatics.oxfordjournals.org/cgi/reprint/bti148v1.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.3447
http://bioinformatics.oxfordjournals.org/cgi/reprint/bti148v1.pdf
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9.
Statistical Modelling 2008; 8(4): 385401 Modelling general patterns of digit preference
Open Access
Title:
Statistical Modelling 2008; 8(4): 385401 Modelling general patterns of digit preference
Author:
Carlo G. Camarda
;
Paul H. C. Eilers
;
Jutta Gampe
Carlo G. Camarda
;
Paul H. C. Eilers
;
Jutta Gampe
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Description:
Abstract: In many applications data can be interpreted as indirect observations of a latent distribution. A typical example is the phenomenon known as digit preference, i.e. the tendency to round outcomes to pleasing digits. The composite link model (CLM) is a useful framework to uncover such latent distributions. Moreover, when applied to data...
Abstract: In many applications data can be interpreted as indirect observations of a latent distribution. A typical example is the phenomenon known as digit preference, i.e. the tendency to round outcomes to pleasing digits. The composite link model (CLM) is a useful framework to uncover such latent distributions. Moreover, when applied to data showing digit preferences, this approach allows estimation of the proportions of counts that were transferred to neighbouring digits. As the estimating equations generally are singular or severely illconditioned, we impose smoothness assumptions on the latent distribution and penalize the likelihood function. To estimate themisreported proportions, we use a weighted leastsquares regression with an added L1 penalty. The optimal smoothing parameters are found by minimizing the Akaike’s information Criterion (AIC). The approach is verified by a simulation study and several applications are presented. Key words: composite link model; digit preference; L1 penalty; penalized likelihood; smoothing
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Year of Publication:
20150305
Source:
http://www.demogr.mpg.de/publications/files/2945_1235560583_1_CamardaFeb09Sage.pdf
http://www.demogr.mpg.de/publications/files/2945_1235560583_1_CamardaFeb09Sage.pdf
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Document Type:
text
Language:
en
DDC:
519 Probabilities & applied mathematics
(computed)
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.565.6588
http://www.demogr.mpg.de/publications/files/2945_1235560583_1_CamardaFeb09Sage.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.565.6588
http://www.demogr.mpg.de/publications/files/2945_1235560583_1_CamardaFeb09Sage.pdf
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10.
SUMMARY
Open Access
Title:
SUMMARY
Author:
Statist Med
;
Paul H. C. Eilers
Statist Med
;
Paul H. C. Eilers
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Description:
Bayesian proportional hazards model with timevarying
Bayesian proportional hazards model with timevarying
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20080701
Source:
http://www.stat.ucl.ac.be/ISpersonnel/lambert/LambertEilers2005BayesianProportionalHazardsModelWithTimeVaryingRegressionCoefficients.pdf
http://www.stat.ucl.ac.be/ISpersonnel/lambert/LambertEilers2005BayesianProportionalHazardsModelWithTimeVaryingRegressionCoefficients.pdf
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Document Type:
text
Language:
en
Subjects:
KEY WORDS ; proportional hazards ; Psplines ; Markov chain Monte Carlo methods ; Metropolisadjusted Langevin algorithm
KEY WORDS ; proportional hazards ; Psplines ; Markov chain Monte Carlo methods ; Metropolisadjusted Langevin algorithm
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.94.4105
http://www.stat.ucl.ac.be/ISpersonnel/lambert/LambertEilers2005BayesianProportionalHazardsModelWi...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.94.4105
http://www.stat.ucl.ac.be/ISpersonnel/lambert/LambertEilers2005BayesianProportionalHazardsModelWi...
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(1) Alon Zaban
(1) Ann Arbor
(1) Antti, Henrik
(1) Aref, Donya
(1) Aris Perperoglou
(1) Arterioscler Thromb
(1) Bahassi, El Mustapha
(1) Baker, Angela
(1) Baldock, Anne L.
(1) Barker, Fred G.
(1) BarnholtzSloan, Jill
(1) Barrena, Cristina
(1) Beiko, Jason
(1) Berens, Michael E.
(1) Bergenheim, Tommy
(1) Bergthold, Guillaume
(1) Beroukhim, Rameen
(1) Bi, Yingtao
(1) Blasius, Jörg
(1) Boisselier, Blandine
(1) Bollaerts, Kaatje; JFA; CORA; Eilers, Paul H....
(1) Borgdorff, Martien W.
(1) Borges, Alexandra R.
(1) Bot, Brian
(1) Bota, Daniela
(1) Boulay, JeanLouis
(1) Brastianos, Priscilla
(1) Brat, Daniel
(1) Bridge, Carly
(1) Brosens, Rebecca
(1) Burns, Margot
Author:
Subject
(6) research article
(5) p splines
(5) smoothing
(3) generalized linear models
(3) tensor product
(2) article
(2) brain imaging
(2) cancer biology
(2) ddc 310
(2) ddc 510
(2) density estimation
(2) effective dimension
(2) nonparametric models
(2) sonderforschungsbereich 386
(2) splines
(2) varying coefficient model
(1) abstracts
(1) aic
(1) array regression
(1) beta thermal time
(1) biological sciences
(1) body height
(1) brain tumor group adjuvant procarbazine...
(1) chemical
(1) chimie
(1) correction
(1) cross validation
(1) cross validation 1
(1) crownrump length
(1) diffusion tensor
(1) doaj biology
(1) doaj biology and life sciences
(1) doaj genetics
(1) ellis van creveld syndrome
(1) embryonic development 3d imaging first...
(1) epistasis
(1) functional qtl mapping
(1) gene expression profiles
(1) genetics and population analysis
(1) genome analysis
(1) glm
(1) growth
(1) growth charts
(1) key words
(1) l curve
(1) l1 norm
(1) lcc biology general
(1) lcc genetics
(1) lcc q
(1) lcc qh301 705 5
(1) lcc qh426 470
(1) lcc science
(1) lifetable
(1) linear programming
(1) markov chain monte carlo methods
(1) mathematical earth sciences mathematics g03
(1) mathématiques sciences de la terre...
(1) metropolis adjusted langevin algorithm
(1) mixture transition distribution synchronization...
(1) mycobacteriology and aerobic actinomycetes
(1) original paper
(1) original papers
(1) penalized regression
(1) phase iii trial
(1) phase iii trial european organization malignant...
(1) physical
(1) physique
(1) proportional hazards
(1) qa mathematics
(1) quantiles
(1) regularization
(1) resistance in mice
(1) seasonality
(1) self organising maps k means railway crossings...
(1) sudden infant death sids climatic thrsholds of...
(1) time series
(1) v curve
(1) whittaker and p spline smoothers
Subject:
Dewey Decimal Classification (DDC)
(4) Statistics [31*]
(4) Medicine & health [61*]
(3) Life sciences; biology [57*]
(1) Economics [33*]
(1) Science [50*]
(1) Mathematics [51*]
(1) Animals (Zoology) [59*]
Dewey Decimal Classification (DDC):
Year of Publication
(11) 2013
(10) 2005
(5) 2004
(5) 2010
(4) 2008
(4) 2012
(4) 2014
(4) 2015
(3) 2009
(2) 2011
(1) 1996
(1) 2003
(1) 2006
Year of Publication:
Content Provider
(15) CiteSeerX
(10) PubMed Central
(8) HighWire Press
(5) Springer Open Choice
(3) Groningen Univ.
(3) South Australia Univ.: arrow@UniSA
(2) Munich LMU: Open Access
(2) EconStor
(1) BioMed Central
(1) Project Euclid
(1) DataCite Metadata Store
(1) DOAJ Articles
(1) Open Univ. (United Kingdom)
(1) Liège Univ.: ORBi
(1) RePEc.org
(1) Michigan Univ.: Deep Blue
(1) East Anglia Univ.: Digital Repository
(1) Essex Univ.: Research Repository
(1) Leuven KU: Lirias
Content Provider:
Language
(53) English
(6) Unknown
Language:
Document Type
(34) Text
(16) Article, Journals
(7) Reports, Papers, Lectures
(2) Unknown
Document Type:
Access
(42) Open Access
(17) Unknown
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