Search Results for author: Deepak Nag Ayyala

Found 3 papers, 2 papers with code

Covariance matrix testing in high dimension using random projections

1 code implementation16 Nov 2020 Deepak Nag Ayyala, Santu Ghosh, Daniel F. Linder

Projecting the high dimensional data randomly into lower dimensional subspaces alleviates of the curse of dimensionality, allowing for the use of traditional multivariate tests.

Methodology Computation 62H15, 62-08,

Two-Sample High Dimensional Mean Test Based On Prepivots

1 code implementation13 Mar 2020 Santu Ghosh, Deepak Nag Ayyala, Rafael Hellebuyck

Testing equality of mean vectors is a very commonly used criterion when comparing two multivariate random variables.

Methodology

High dimensional statistical inference: theoretical development to data analytics

no code implementations19 Aug 2019 Deepak Nag Ayyala

With several applied fields such as genomics, metagenomics and social networking, high dimensional inference is a key component of big data analytics.

Statistics Theory Methodology Statistics Theory 62Hxx

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