activity
20102014
most citedBaseline zone estimation in two dimensions

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ME2014

M-estimation in multistage sampling procedures

Atul Mallik, Moulinath Banerjee, George Michailidis

Multi-stage (designed) procedures, obtained by splitting the sampling budget suitably across stages, and designing the sampling at a particular stage based on information about the…

stat.ME2013★ 1 cited

Baseline zone estimation in two dimensions

Atul Mallik, Moulinath Banerjee, Michael Woodroofe

We consider the problem of estimating the region on which a non-parametric regression function is at its baseline level in two dimensions. The baseline level typically corresponds…

stat.ME2011

Threshold estimation based on a p-value framework in dose-response and regression settings

Atul Mallik, Bodhisattva Sen, Moulinath Banerjee +1

We use p-values to identify the threshold level at which a regression function takes off from its baseline value, a problem motivated by applications in toxicological and pharmacol…

stat.ME2010

Threshold estimation based on a P-value framework

Bodhisattva Sen, Moulinath Banerjee, George Michialidis

We use p-values as a discrepancy criterion for identifying the threshold value at which a regression function takes off from its baseline value -- a problem that is motivated by ap…

math.PR2010

A Central Limit Theorem For Linear Random Fields

Atul Mallik, Michael Woodroofe

A Central Limit Theorem is proved for linear random fields when sums are taken over finite disjoint union of rectangles. The approach does not rely upon the use of Beveridge Nelson…