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- Wei Biao Wu

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
38
Citations
5,789
140
World Ranking
1581
National Ranking
700

- Statistics
- Normal distribution
- Random variable

Wei Biao Wu focuses on Applied mathematics, Covariance, Econometrics, Covariance matrix and Stationary process. Wei Biao Wu interconnects Estimator, Asymptotic distribution, Central limit theorem and Series in the investigation of issues within Applied mathematics. His study in Central limit theorem is interdisciplinary in nature, drawing from both Martingale, Probability theory and Mathematical analysis.

His Covariance study is related to the wider topic of Statistics. The various areas that Wei Biao Wu examines in his Econometrics study include Stochastic process, Multiple comparisons problem, Mathematical statistics and Statistical hypothesis testing. His work deals with themes such as Confidence and prediction bands and Autocorrelation, which intersect with Stationary process.

- Nonlinear system theory: Another look at dependence (371 citations)
- Nonparametric estimation of large covariance matrices of longitudinal data (252 citations)
- STRONG INVARIANCE PRINCIPLES FOR DEPENDENT RANDOM VARIABLES (189 citations)

Wei Biao Wu spends much of his time researching Applied mathematics, Series, Econometrics, Statistics and Central limit theorem. The various areas that he examines in his Applied mathematics study include Nonparametric statistics, Mathematical analysis, Covariance, Estimator and Mathematical optimization. His Covariance research includes themes of Rate of convergence and Covariance matrix.

His Series study integrates concerns from other disciplines, such as Convergence, Inference, Range, Consistency and Moment. In the field of Econometrics, his study on Quantile overlaps with subjects such as Long-term prediction. Wei Biao Wu has included themes like Asymptotic theory, Limit, Markov chain, Range and Random function in his Central limit theorem study.

- Applied mathematics (50.29%)
- Series (25.14%)
- Econometrics (20.57%)

- Series (25.14%)
- Applied mathematics (50.29%)
- Econometrics (20.57%)

His main research concerns Series, Applied mathematics, Econometrics, Moment and Inference. The Series study combines topics in areas such as High dimensional, Kernel density estimation and Asymptotic distribution. His studies deal with areas such as Nonparametric statistics, Covariance matrix and Parametric statistics as well as Asymptotic distribution.

His work carried out in the field of Applied mathematics brings together such families of science as Autoregressive conditional heteroskedasticity, Estimator, Central limit theorem and Consistency. His Econometrics research is multidisciplinary, incorporating elements of Prediction interval and Bayesian probability. His study in Inference is interdisciplinary in nature, drawing from both Logarithm and Regression.

- Towards a general theory for nonlinear locally stationary processes (20 citations)
- Testing for Trends in High-Dimensional Time Series (11 citations)
- Simultaneous inference for time-varying models (5 citations)

- Statistics
- Normal distribution
- Random variable

His scientific interests lie mostly in Applied mathematics, Series, Econometrics, Estimator and Approximation theory. Wei Biao Wu integrates many fields in his works, including Applied mathematics and General theory. His studies in Series integrate themes in fields like Sample size determination, Stochastic process, Measure, Independence and Range.

His Econometrics research incorporates themes from Bayesian probability and Bayes' theorem. His research in Estimator intersects with topics in Nonparametric statistics, Statistical inference, Parametric statistics and High dimensional. The concepts of his Approximation theory study are interwoven with issues in Statistics and Chi-square test.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Nonlinear system theory: Another look at dependence

Wei Biao Wu.

Proceedings of the National Academy of Sciences of the United States of America **(2005)**

623 Citations

Nonparametric estimation of large covariance matrices of longitudinal data

Wei Biao Wu;Mohsen Pourahmadi.

Biometrika **(2003)**

354 Citations

STRONG INVARIANCE PRINCIPLES FOR DEPENDENT RANDOM VARIABLES

Wei Biao Wu.

Annals of Probability **(2007)**

282 Citations

Inference of trends in time series

Wei Biao Wu;Zhibiao Zhao.

Journal of The Royal Statistical Society Series B-statistical Methodology **(2007)**

203 Citations

Limit theorems for iterated random functions

Wei Biao Wu;Xiaofeng Shao.

Journal of Applied Probability **(2004)**

200 Citations

Asymptotic spectral theory for nonlinear time series

Xiaofeng Shao;Wei Biao Wu.

Annals of Statistics **(2007)**

165 Citations

On the Bahadur representation of sample quantiles for dependent sequences

Wei Biao Wu.

Annals of Statistics **(2005)**

142 Citations

Asymptotic theory for stationary processes

Wei Biao Wu.

Statistics and Its Interface **(2011)**

137 Citations

BANDING SAMPLE AUTOCOVARIANCE MATRICES OF STATIONARY PROCESSES

Wei Biao Wu;Mohsen Pourahmadi.

**(2009)**

134 Citations

Kernel density estimation for linear processes

Wei Biao Wu;Jan Mielniczuk.

Annals of Statistics **(2002)**

130 Citations

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