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Modeling longitudinal data using matrix completion
v1v2 (latest)

Modeling longitudinal data using matrix completion

24 September 2018
Lukasz Kidzinski
Trevor Hastie
ArXiv (abs)PDFHTML

Papers citing "Modeling longitudinal data using matrix completion"

5 / 5 papers shown
Title
Matrix Completion has No Spurious Local Minimum
Matrix Completion has No Spurious Local Minimum
Rong Ge
Jason D. Lee
Tengyu Ma
120
599
0
24 May 2016
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
Trevor Hastie
Rahul Mazumder
Jason D. Lee
R. Zadeh
163
528
0
09 Oct 2014
Fast matrix completion without the condition number
Fast matrix completion without the condition number
Moritz Hardt
Mary Wootters
104
108
0
15 Jul 2014
Combining Dynamic Predictions from Joint Models for Longitudinal and
  Time-to-Event Data using Bayesian Model Averaging
Combining Dynamic Predictions from Joint Models for Longitudinal and Time-to-Event Data using Bayesian Model Averaging
D. Rizopoulos
Laura A. Hatfield
B. Carlin
J. Takkenberg
72
106
0
12 Mar 2013
A geometric approach to maximum likelihood estimation of the functional
  principal components from sparse longitudinal data
A geometric approach to maximum likelihood estimation of the functional principal components from sparse longitudinal data
Jie Peng
D. Paul
124
118
0
29 Oct 2007
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