activity
20192026
most citedBound on FWER for correlated normal distribution

12 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2026

Estimation of the complexity of a network under a Gaussian graphical model

Nabaneet Das, Thorsten Dickhaus

The proportion of edges in a Gaussian graphical model (GGM) characterizes the complexity of its conditional dependence structure. Since edge presence corresponds to a nonzero entry…

math.ST2024

Estimation of Proportion of Null Hypotheses Under Dependence

Nabaneet Das

Estimation of the proportion of null hypotheses in a multiple testing problem can greatly enhance the performance of the existing algorithms. Although various estimators for the pr…

math.ST2023

Optimal test statistic under normality assumption

Nabaneet Das, Subir K. Bhandari

The idea of an optimal test statistic in the context of simultaneous hypothesis testing was given by Sun and Tony Cai (2009) which is the conditional probability of a hypothesis be…

math.ST2023

Correction Factor of FWER for Normal Distribution in Nearly Independent Setup

Nabaneet Das, Subir K. Bhandari

In this paper, we have attempted to study the behaviour of the family wise error rate (FWER) for Bonferroni's procedure in a nearly independent setup for normal distribution. In se…

stat.ME2020

Observation on F.W.E.R. and F.D.R. for correlated normal

Nabaneet Das, Subir Kumar Bhandari

In this paper, we have attempted to study the behaviour of the family wise error rate (FWER) for Bonferroni's procedure and false discovery rate (FDR) of the Benjamini-Hodgeberg pr…

math.ST2019★ 12 cited

Bound on FWER for correlated normal distribution

Nabaneet Das, Subir K. Bhandari

In this paper,our main focus is to obtain an asymptotic bound on the family wise error rate (FWER) for Bonferroni-type procedure in the simultaneous hypotheses testing problem when…