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LoCoV: low dimension covariance voting algorithm for portfolio optimization
Minimum-variance portfolio optimizations rely on accurate covariance estimator to obtain optimal portfolios.
Recover the spectrum of covariance matrix: a non-asymptotic iterative method
It is well known the sample covariance has a consistent bias in the spectrum, for example spectrum of Wishart matrix follows the Marchenko-Pastur law.
Invariance principle of random projection for the norm
In particular we prove the distribution of the norm of random vector $X \in \mathbb{R}^n$, whose entries are i. i. d.
A cost-reducing partial labeling estimator in text classification problem
We propose a new approach to address the text classification problems when learning with partial labels is beneficial.
Naive Bayes with Correlation Factor for Text Classification Problem
Naive Bayes estimator is widely used in text classification problems.
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