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Sayantan Banerjee

41 papers hereh-index 16747 citations81 works total

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

author position
  • sole author3
  • first author34
  • middle author3
  • last author1

Across the 41 of 41 papers where every author was matched, so the position is known.

fields
  • math.PR30
  • math.ST5
  • stat.ME3
  • cs.ET1
  • q-fin.PM1
  • q-fin.ST1
same name
  • Sayantan Banerjee — 7 papers, h 2
  • Sayantan Banerjee — 5 papers, h 1
  • Sayantan Banerjee — 3 papers, h 2
  • Sayantan Banerjee — 1 paper

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
20132023
most citedPosterior convergence rates for estimating large precision matrices using graphical models

63 citations · 113 across the 31 of their papers we have counts for

collaborators
Showing 2013Show all

4 papers · 1 filter

math.PR2013

The Brownian Conga Line

Sayan Banerjee

We introduce a new model called the Brownian Conga Line. It is a random curve evolving in time, generated when a particle performing a two dimensional Gaussian random walk leads a…

math.ST2013

Bayesian estimation of a sparse precision matrix

Sayantan Banerjee, Subhashis Ghosal

We consider the problem of estimating a sparse precision matrix of a multivariate Gaussian distribution, including the case where the dimension p is large. Gaussian graphical mod…

math.PR2013

Random mass splitting and a quenched invariance principle

Sayan Banerjee, Christopher Hoffman

We will investigate a random mass splitting model and the closely related random walk in a random environment (RWRE). The heat kernel for the RWRE at time t is the mass splitting d…

math.ST2013★ 63 cited

Posterior convergence rates for estimating large precision matrices using graphical models

Sayantan Banerjee, Subhashis Ghosal

We consider Bayesian estimation of a p×p precision matrix, when p can be much larger than the available sample size n. It is well known that consistent estimation in su…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.