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20212023
most citedHigh-Dimensional Conditionally Gaussian State Space Models with Missing Data

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

econ.EM2023

Distributional Vector Autoregression: Eliciting Macro and Financial Dependence

Yunyun Wang, Tatsushi Oka, Dan Zhu

Vector autoregression is an essential tool in empirical macroeconomics and finance for understanding the dynamic interdependencies among multivariate time series. In this study, we…

cs.CV2023

Valid Information Guidance Network for Compressed Video Quality Enhancement

Xuan Sun, Ziyue Zhang, Guannan Chen +1

In recent years deep learning methods have shown great superiority in compressed video quality enhancement tasks. Existing methods generally take the raw video as the ground truth…

econ.EM20235 cited

High-Dimensional Conditionally Gaussian State Space Models with Missing Data

Joshua C. C. Chan, Aubrey Poon, Dan Zhu

We develop an efficient sampling approach for handling complex missing data patterns and a large number of missing observations in conditionally Gaussian state space models. Two im…

hep-ph2022

System of excited monopole-antimonopole pair in the Weinberg-Salam model

Dan Zhu, Khai-Ming Wong, Guo-Quan Wong

We investigate further the properties of axially symmetric monopole-antimonopole pair in the standard Weinberg-Salam model. By using a novel data sampling approach, we have obtaine…

econ.EM20214 cited

Efficient Estimation of State-Space Mixed-Frequency VARs: A Precision-Based Approach

Joshua C. C. Chan, Aubrey Poon, Dan Zhu

State-space mixed-frequency vector autoregressions are now widely used for nowcasting. Despite their popularity, estimating such models can be computationally intensive, especially…