Results 161 to 170 of about 41,274 (203)

Many photonic design problems are sparse QCQPs. [PDF]

Sci Adv
Gertler S, Kuang Z, Christie C, Li H, Miller OD.   +4 more
europepmc   +1 more source

Estimating correlations across tasks in experimental psychology. [PDF]

Behav Res Methods
Yang S, Rouder JN.
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Semi-Device-Independent Randomness Expansion Using <i>n</i>→1 Parity-Oblivious Quantum Random Access Codes. [PDF]

Entropy (Basel)
Wang X, Chen X, Xu M, Mi W, Chen X.
europepmc   +1 more source

Automated tight Lyapunov analysis for first-order methods. [PDF]

Math Program
Upadhyaya M, Banert S, Taylor AB, Giselsson P.   +3 more
europepmc   +1 more source

Gibbs manifolds. [PDF]

Inf Geom
Pavlov D, Sturmfels B, Telen S.
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Bayesian Transfer Learning. [PDF]

Stat Sci
Suder PM, Xu J, Dunson DB.
europepmc   +1 more source

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Transformation of non positive semidefinite correlation matrices

Communications in Statistics - Theory and Methods, 1993
In multivariate statistics, estimation of the covariance or correlation matrix is of crucial importance. Computational and other arguments often lead to the use of coordinate-dependent estimators, yielding matrices that are symmetric but not positive semidefinite.
Rousseeuw, Peter, Molenberghs, Geert
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Positive Semidefinite Matrices

2018
Positive semidefinite (PSD) and positive definite (PD) matrices are closely connected with Euclidean distance matrices. Accordingly, they play a central role in this monograph. This chapter reviews some of the basic results concerning these matrices.
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