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

12 papers

stat.ME2015★ 7 cited

Dynamic Bivariate Normal Copula

Xin Liao, Liang Peng, Zuoxiang Peng +1

Normal copula with a correlation coefficient between and is tail independent and so it severely underestimates extreme probabilities. By letting the correlation coefficien…

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 -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 is asympt…

stat.ME2013

Estimation of Extreme Quantiles for Functions of Dependent Random Variables

Jinguo Gong, Yadong Li, Liang Peng +1

We propose a new method for estimating the extreme quantiles for a function of several dependent random variables. In contrast to the conventional approach based on extreme value t…