17 problems
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Conjecture on the variance contribution of missing S&P 500 companies
Let be the matrix of normalized weekly returns for the S&P 500 companies, and suppose that data are available for at least of the index. The covariance matrix used for p…
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Conjecture on linear PCA sample complexity for PCA-Net
Let be the PCA dimension and let be the decay parameter in the setting of Theorem. The PCA-Net theorem currently requires a number of PCA samples scaling as…
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Outlier-spectrum conjecture for hyperbolic gene trees
Outlier-spectrum conjecture. A tree with outliers has more outlier -eigenvalues.
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Symmetry conjecture for -diagonalizability with repeated eigenvalues
Symmetry conjecture. Symmetry of is sufficient for its -diagonalizability, even when has repeated -eigenvalues.
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The PCA objective valuated supermatroid conjecture
PCA objective conjecture. The objective function of principal component analysis is a valuated supermatroid.
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Existence of a tropical Fermat–Weber point in tropical principal component analysis
Existence conjecture. There exists a tropical Fermat–Weber point
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The tropical PCA nesting conjecture for ultrametric trees
Tropical PCA nesting conjecture. For every , there exists a tropical Fermat-Weber point of the sample that is contained in the th-order tropical PC…
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WGAN optimization achieving the empirical PCA solution for finite samples
Let be a finite sample size, and let the empirical PCA solution denote the PCA solution computed from the sample. Finite-sample empirical PCA conjecture. From simulation result…
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The phase-transition conjecture for weighted PCA recovery
Phase-transition conjecture. If , then
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Zero-noise recovery of latent-space projections for manifold-valued PPCA
Zero-noise projection conjecture. In this limit, the model recovers projections to the latent space in a sense analogous to ordinary probabilistic principal component analysis, whe…
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Convexity conjecture for the spectral separation utility
Utility-function conjecture. is non-increasing and convex in . Numerical evidence supports this stronger claim, which would describe not only when the information/…
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Monotonicity conjecture for the number of spectral components
Let be the limiting spectral distribution of the noisy sample covariance matrix at noise power , and let denote the number of connected components of its supp…
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General noise-variance distribution conjecture for PCA asymptotics
Let be noise parameters whose empirical distribution satisfies … as , and let be the supremum of the support of . Assume that…
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Phase transition conjecture for PCA subspace and score recovery
Let with and for . Let and be the quantities defined in the paper, and let be the…
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Conjecture on concentration properties of the depth-weighted Tyler scatter matrix
Concentration conjecture. The concentration properties of this depth-weighted Tyler scatter matrix can be obtained by taking an approach similar to that of Soloveychik (2014). The…
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Wishart analogue of empirical projection accuracy for principal component analysis
Let be a positive semidefinite matrix and let … Consider high-dimensional empirical covariance matrices and rank- projections onto their leading singular spaces. Wisha…
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Bias conjecture for the classical estimator of population contribution rates
Bias conjecture. The classical estimator is biased. The conjecture identifies a possible bias in the traditional estimator of population contribution rates,…