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L. Peng

12 papers hereh-index 405.9k citations236 works total

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

author position
  • sole author1
  • first author3
  • middle author7
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • math.ST7
  • stat.ME3
  • math.PR1
  • stat.AP1
same name
  • L. Peng — 23 papers, h 41
  • L. Peng — 11 papers, h 16
  • L. Peng — 10 papers, h 5
  • L. Peng — 8 papers, h 9
  • L. Peng — 3 papers, h 23
  • L. Peng — 3 papers, h 3

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
20042015
most citedConfidence regions for high quantiles of a heavy tailed distribution

34 citations · 159 across the 12 of their papers we have counts for

collaborators
Showing 2014Show all

4 papers · 1 filter

stat.ME2014★ 5 cited

Test for a Mean Vector with Fixed or Divergent Dimension

Liang Peng, Yongcheng Qi, Fang Wang

It has been a long history in testing whether a mean vector with a fixed dimension has a specified value. Some well-known tests include the Hotelling T2-test and the empirical l…

math.ST2014

Inference for a Special Bilinear Time Series Model

Shiqing Ling, Liang Peng, Fukang Zhu

It is well known that estimating bilinear models is quite challenging. Many different ideas have been proposed to solve this problem. However, there is not a simple way to do infer…

stat.AP2014★ 29 cited

Predictive regressions for macroeconomic data

Fukang Zhu, Zongwu Cai, Liang Peng

Researchers have constantly asked whether stock returns can be predicted by some macroeconomic data. However, it is known that macroeconomic data may exhibit nonstationarity and/or…

math.PR2014

Maxima of a triangular array of multivariate Gaussian sequence

Enkelejd Hashorva, Liang Peng, Zhichao Weng

It is known that the normalized maxima of a sequence of independent and identically distributed bivariate normal random vectors with correlation coefficient ρ∈(−1,1) is asympt…

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