Guoqi Qian

Variability analysis of monthly precipitation vector time series in Australia by a new spatiotemporal entropy statistic

Benjamin Hines, Guoqi Qian, Tingjin Chu, Antoinette Tordesillas

Journal article  |  2023  |  Environmental Research: Climate

Abstract Changing climate in Australia has significant impacts on the country’s economy, environment and social wel..

Analyzing Error Bounds for Seasonal-Trend Decomposition of Antarctica Temperature Time Series Involving Missing Data

Chun-Fung Kwok, Guoqi Qian, Yuriy Kuleshov

Journal article  |  2023  |  ATMOSPHERE

In this paper, we study the problem of extracting trends from time series data involving missing values. In particular, we investi..

Stock Price Prediction Using a Frequency Decomposition Based GRU Transformer Neural Network

Chengyu Li, Guoqi Qian

Journal article  |  2023  |  APPLIED SCIENCES-BASEL

Stock price prediction is crucial but also challenging in any trading system in stock markets. Currently, family of recurrent neur..

Mapping Australia's precipitation: harnessing the synergies of multi-satellite remote sensing and gauge network data

Benjamin Hines, Guoqi Qian, Antoinette Tordesillas

Journal article  |  2022  |  GISCIENCE & REMOTE SENSING

Coverage, resolution, and accuracy in the spatial and temporal estimates of remotely sensed precipitation from space satellites, a..

Improving Methodology for Tropical Cyclone Seasonal Forecasting in the Australian and the South Pacific Ocean Regions by Selecting and Averaging Models via Metropolis-Gibbs Sampling

Guoqi Qian, Lizhong Chen, Yuriy Kuleshov

Journal article  |  2022  |  REMOTE SENSING

A novel model selection and averaging approach is proposed—through integrating the corrected Akaike information criterion (AICc), ..

A Prediction Framework for Turning Period Structures in COVID-19 Epidemic and Its Application to Practical Emergency Risk Management

L Di, Y Gu, G Qian, GX Yuan

Journal article  |  2022  |  Journal of Systems Science and Information

The aim of this paper is first to establish a general prediction framework for turning (period) term structures in COVID-19 epidem..

Discovering optimally representative dynamical locations (ORDL) in big multivariate spatiotemporal data: A case study of precipitation in Australia from space to ground sensors

Benjamin Hines, Guoqi Qian, Antoinette Tordesillas

Journal article  |  2022  |  APPLIED MATHEMATICAL MODELLING

We develop a method for discovering a set of optimally representative dynamical locations (ORDL), a small subset of observed locat..

Pinpointing Early Signs of Impending Slope Failures From Space

Shuo Zhou, Antoinette Tordesillas, Emanuele Intrieri, Federico Di Traglia, Guoqi Qian, Filippo Catani

Journal article  |  2022  |  JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

A promised potential of spaceborne interferometric synthetic aperture radars (InSAR) is a capability for regularly monitoring grou..

LIC criterion for optimal subset selection in distributed interval estimation

G Guo, Y Sun, G Qian, Q Wang

Journal article  |  2022  |  Journal of Applied Statistics

Distributed interval estimation in linear regression may be computationally infeasible in the presence of big data that are normal..

A scalable quasi-Newton estimation algorithm for dynamic generalised linear models

G Guo, G Qian, L Zhu

Journal article  |  2022  |  Journal of Nonparametric Statistics

This research develops a scalable computing method based on quasi-Newton algorithm for several estimation problems in dynamic gene..