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Johan Lim

7 papers hereh-index 181.4k citations140 works total

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

author position
  • middle author4
  • last author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • math.ST3
  • stat.ME3
  • stat.ML1
same name
  • Johan Lim — 3 papers
  • Johan Lim — 3 papers, h 1
  • Johan Lim — 2 papers, h 3
  • Johan Lim — 2 papers, h 2
  • Johan Lim — 1 paper, h 2

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
20132022
most citedRegression shrinkage and grouping of highly correlated predictors with HORSES

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

collaborators
Showing 2019Show all

4 papers · 1 filter

stat.ME2019★ 1 cited

Testing for Stochastic Order in Interval-Valued Data

Hyejeong Choi, Johan Lim, Minjung Kwak +1

We construct a procedure to test the stochastic order of two samples of interval-valued data. We propose a test statistic which belongs to U-statistic and derive its asymptotic dis…

stat.ME2019

Covariate-dependent control limits for the detection of abnormal price changes in scanner data

Youngrae Kim, Sangkyun Kim, Johan Lim +3

Currently, large-scale sales data for consumer goods, called scanner data, are obtained by scanning the bar codes of individual products at the points of sale of retail outlets. Ma…

math.ST2019

An Invariant Test for Equality of Two Large Scale Covariance Matrices

Taehyeon Koo, Seonghun Cho, Johan Lim

In this work, we are motivated by the recent work of Zhang et al. (2019) and study a new invariant test for equality of two large scale covariance matrices. Two modified likelihood…

math.ST2019

Note on Mean Vector Testing for High-Dimensional Dependent Observations

Seonghun Cho, Johan Lim, Deepak Nag Ayyala +2

For the mean vector test in high dimension, Ayyala et al.(2017,153:136-155) proposed new test statistics when the observational vectors are M dependent. Under certain conditions, t…

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