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Dynamic semiparametric Bayesian models for genetic mapping of complex trait with irregular longitudinal dataBayesian modeling of the dependence in longitudinal data via partial autocorrelations and marginal variances.Dynamic conditionally linear mixed models for longitudinal data.Modelling the random effects covariance matrix in longitudinal data.A Bayesian generalized random regression model for estimating heritability using overdispersed count dataRegularized sandwich estimators for analysis of high-dimensional data using generalized estimating equations.Bayesian semiparametric copula estimation with application to psychiatric geneticsBetter estimates of genetic covariance matrices by "bending" using penalized maximum likelihood.Fixed and random effects selection in mixed effects models.Bayesian Nonparametric Longitudinal Data Analysis.Condition Number Regularized Covariance EstimationPerils of parsimony: properties of reduced-rank estimates of genetic covariance matricesZero-inflated count models for longitudinal measurements with heterogeneous random effects.Joint Models for the Association of Longitudinal Binary and Continuous Processes With Application to a Smoking Cessation Trial.Multivariate cross-frequency coupling via generalized eigendecomposition.Simple Penalties on Maximum-Likelihood Estimates of Genetic Parameters to Reduce Sampling Variation.A simple yet accurate correction for winner's curse can predict signals discovered in much larger genome scans.A class of distribution-free models for longitudinal mediation analysis.Power and Effective Study Size in Heritability Studies.Performance of penalized maximum likelihood in estimation of genetic covariances matricesStable Estimation of a Covariance Matrix Guided by Nuclear Norm Penalties.Modeling Covariance Matrices via Partial Autocorrelations.Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of spiking-based brain-computer interface algorithms.Use of the l1 norm for selection of sparse parameter sets that accurately predict drug response phenotype from viral genetic sequences.Spatiotemporal surveillance methods in the presence of spatial correlation.Nonparametric functional mapping of quantitative trait loci.Functional mapping for quantitative trait loci governing growth rates: a parametric model.An Analysis of an Incomplete Marked Point Pattern of Heat-Related 911 CallsEfficient parallel implementation of DDDAS inference using an ensemble Kalman filter with shrinkage covariance matrix estimation
P2860
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P2860
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on December 2001
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Shrinkage estimators for covariance matrices.
@en
Shrinkage estimators for covariance matrices.
@nl
type
label
Shrinkage estimators for covariance matrices.
@en
Shrinkage estimators for covariance matrices.
@nl
prefLabel
Shrinkage estimators for covariance matrices.
@en
Shrinkage estimators for covariance matrices.
@nl
P1433
P1476
Shrinkage estimators for covariance matrices.
@en
P2093
P2860
P304
P356
10.1111/J.0006-341X.2001.01173.X
P407
P577
2001-12-01T00:00:00Z