Bayesian inference has become a standard tool for inferring stellar parameters from stellar evolution models. However, comparatively little attention has been paid to how alternative Bayesian likelihood formulations influence inferred stellar parameters, and the resulting evolutionary mass discrepancy for massive main...
C. I. Eze, G. Handler, M. Vanrespaille et al.· 0 citations
The MENS attains the robustness of rank-based estimation and the efficiency of nonlinear shrinkage at once within this class, and delivers a better-conditioned covariance estimate, lower realized portfolio volatility, and lower turnover than linear shrinkage in an out-of-sample minimum-variance backtest on S&P 500 stoc...
H. Karamikabir, Mohammad Arashi Department of Statistics, Faculty of Electrical Engineering et al.· 0 citations
We study estimation of the p*p residual scatter (shape) matrix in a high-dimensional multivariate linear regression, where p and n grow proportionally. When the coefficient matrix obeys a known linear restriction of rank q<d, as in multivariate analysis of variance, growth-curve models, and reduced-rank regression, the...
H. Karamikabir, Mohammad Arashi Department of Statistics, Faculty of Electrical Engineering et al.· 0 citations
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