Chao Zhang
Statistics and Probability · with Kokoszka · 2020
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 7 citations into it
- Artificial Intelligence — 5 citations into it
Whom Chao Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Piotr Kokoszka
- Juan José Egozcue
- Alexander Petersen
- Vera Pawlowsky-Glahn
- Alois Kneip
- Luigi Ambrosio
- H. Muller
- Yaqing Chen
- István Berkes
- Cédric Villani
Who trusts Chao Zhang overall
Papers from Chao Zhang's perspective
Ordered by how strongly the researchers Chao Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Inference for Functional Data with Applications
- Topics in Optimal Transportation
- Linear Processes in Function Spaces
- Gradient Flows: In Metric Spaces and in the Space of Probability Measures
- Forecasting of density functions with an application to cross-sectional and intraday returns (International Journal of Forecasting)
- Testing stationarity of functional time series
- Detecting changes in the mean of functional observations
- Inference for Density Families Using Functional Principal Component Analysis
- Prediction of functional ARMA processes with an application to traffic data
- Wasserstein Regression (Journal of the American Statistical Association)
Their papers
- Wasserstein autoregressive models for density time series (2020) — 68 citations