Results 31 to 40 of about 20,280 (112)

Optimal Estimation and Prediction for Dense Signals in High-Dimensional Linear Models [PDF]

open access: yes, 2012
Estimation and prediction problems for dense signals are often framed in terms of minimax problems over highly symmetric parameter spaces. In this paper, we study minimax problems over l2-balls for high-dimensional linear models with Gaussian predictors.
Dicker, Lee
core  

Asymptotic equivalence of quantum state tomography and noisy matrix completion

open access: yes, 2013
Matrix completion and quantum tomography are two unrelated research areas with great current interest in many modern scientific studies. This paper investigates the statistical relationship between trace regression in matrix completion and quantum state ...
Wang, Yazhen
core   +1 more source

Equivalence probability and sparsity of two sparse solutions in sparse representation

open access: yesEquivalence probability and sparsity of two sparse solutions in sparse representation
This paper discusses the estimation and numerical calculation of the probability that the 0-norm and 1-norm solutions of underdetermined linear equations are equivalent in the case of sparse representation. First, we define the sparsity degree of a signal.
openaire  

Anti-noise variational sparse Bayesian estimation ghost imaging based on 3Level factor graph. [PDF]

open access: yesSci Rep
Xiang S   +9 more
europepmc   +1 more source

A novel high-dimensional model for identifying regional DNA methylation QTLs. [PDF]

open access: yesBiostatistics
Zhao K   +8 more
europepmc   +1 more source

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