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Kengo Kato

49 papers hereh-index 354.6k citations83 works total

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

author position
  • sole author4
  • first author5
  • middle author12
  • last author28

Across the 49 of 49 papers where every author was matched, so the position is known.

fields
  • math.ST37
  • econ.EM4
  • math.PR3
  • math.OC2
  • stat.ME2
  • stat.ML1
same name
  • Kengo Kato — 4 papers, h 1
  • Kengo Kato — 3 papers, h 3
  • Kengo Kato — 2 papers

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
20112026
most citedGaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors

322 citations · 1.3k across the 48 of their papers we have counts for

collaborators
Showing 2012 · math.STShow all

4 papers · 2 filters

math.ST2012★ 322 cited

Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors

Victor Chernozhukov, Denis Chetverikov, Kengo Kato

We derive a Gaussian approximation result for the maximum of a sum of high-dimensional random vectors. Specifically, we establish conditions under which the distribution of the max…

math.ST2012★ 7 cited

Two-step estimation of high dimensional additive models

Kengo Kato

This paper investigates the two-step estimation of a high dimensional additive regression model, in which the number of nonparametric additive components is potentially larger than…

math.ST2012★ 50 cited

Quasi-Bayesian analysis of nonparametric instrumental variables models

Kengo Kato

This paper aims at developing a quasi-Bayesian analysis of the nonparametric instrumental variables model, with a focus on the asymptotic properties of quasi-posterior distribution…

math.ST2012★ 120 cited

Estimation in functional linear quantile regression

Kengo Kato

This paper studies estimation in functional linear quantile regression in which the dependent variable is scalar while the covariate is a function, and the conditional quantile for…

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