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T. Maiti

28 papers hereh-index 278.1k citations175 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author9
  • last author17

Across the 27 of 28 papers where every author was matched, so the position is known.

fields
  • stat.ML10
  • stat.ME6
  • math.ST4
  • stat.AP3
  • stat.CO3
  • cs.LG1
same name
  • T. Maiti — 4 papers, h 3
  • T. Maiti — 3 papers, h 6
  • T. Maiti — 1 paper, h 2
  • T. Maiti — 1 paper, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20052025
most citedNonparametric estimation of mean-squared prediction error in nested-error regression models

66 citations · 115 across the 26 of their papers we have counts for

collaborators
Showing stat.APShow all

3 papers · 1 filter

stat.AP2020★ 2 cited

A Role for Prior Knowledge in Statistical Classification of the Transition from MCI to Alzheimer's Disease

Zihuan Liu, Tapabrate Maiti, Andrew R. Bender

The transition from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is of great interest to clinical researchers. This phenomenon also serves as a valuable data source…

stat.AP2016★ 1 cited

Spatial Clustering of Curves with Functional Covariates: A Bayesian Partitioning Model with Application to Spectra Radiance in Climate Study

Zhen Zhang, Chae Young Lim, Tapabrata Maiti +1

In climate change study, the infrared spectral signatures of climate change have recently been conceptually adopted, and widely applied to identifying and attributing atmospheric c…

stat.AP2014★ 2 cited

A generalized mixed model framework for assessing fingerprint individuality in presence of varying image quality

Sarat C. Dass, Chae Young Lim, Tapabrata Maiti

Fingerprint individuality refers to the extent of uniqueness of fingerprints and is the main criteria for deciding between a match versus nonmatch in forensic testimony. Often, pri…

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