Guoqi Qian

Parallel inference for big data with the group Bayesian method

Guangbao Guo, Guoqi Qian, Lu Lin, Wei Shao

Journal article  |  2021  |  METRIKA

In recent years, big datasets are often split into several subsets due to the storage requirements. We propose a parallel group Ba..

The Prediction for COVID-19 Outbreak in China by using the Concept of Term Structure for the Turning Period

George X Yuan, Lan Di, Zheng Yang, Guoqi Qian, Xiaosong Qian, Tu Zeng

Journal article  |  2021  |  2020 INTERNATIONAL CONFERENCE ON IDENTIFICATION, INFORMATION AND KNOWLEDGE IN THE INTERNET OF THINGS (IIKI2020)

This study aims to develop a general framework for predicting the duration of the Turning Period (or Turning Phase) for the COVID-..

Spatial Modelling of Linear Regression Coefficients for Gauge Measurements Against Satellite Estimates

Benjamin Hines, Yuriy Kuleshov, Guoqi Qian

Book Chapter  |  2021

Association between the yield and the main agronomic traits of Tartary buckwheat evaluated using the random forest model

S Feng, J Li, G Qian, B Feng

Journal article  |  2020  |  Crop Science

The popularity of Tartary buckwheat [Fagopyrum tataricum (L.) Gaertn], as a medicinal and food crop, has been increasing in recent..

Modeling big spatio-temporal geo-hazards data for forecasting by error-correction cointegration and dimension-reduction

Hong Wang, Guoqi Qian, Antoinette Tordesillas

Journal article  |  2020  |  SPATIAL STATISTICS

We develop a new stochastic spatio-temporal cointegration (SSTC) framework to model spatial and temporal dependence dynamics in hi..

Multiple change-points detection by empirical Bayesian information criteria and Gibbs sampling induced stochastic search

Guoqi Qian, Yuehua Wu, Min Xu

Journal article  |  2019  |  APPLIED MATHEMATICAL MODELLING

Uncovering hidden change-points in an observed signal sequence is challenging both mathematically and computationally. We tackle t..

Parsimonious and powerful composite likelihood testing for group difference and genotype-phenotype association

Zhendong Huang, Davide Ferrari, Guoqi Qian

Journal article  |  2017  |  Computational Statistics and Data Analysis

Studying the association between a phenotype and a number of genetic variants from case-control data is an important goal in many ..

Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk

Robert J MacInnis, Daniel F Schmidt, Enes Makalic, Gianluca Severi, Liesel M FitzGerald, Matthias Reumann, Miroslaw K Kapuscinski, Adam Kowalczyk, Zeyu Zhou, Benjamin Goudey, Guoqi Qian, Quang M Bui, Daniel J Park, Adam Freeman, Melissa C Southey, Ali Amin Al Olama, Zsofia Kote-Jarai, Rosalind A Eeles, John L Hopper, Graham G Giles

Journal article  |  2016  |  CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION

BACKGROUND: We have developed a genome-wide association study analysis method called DEPTH (DEPendency of association on the numbe..

Variable Selection for Tropical Cyclogenesis Predictive Modeling

Jasper S Wijnands, Guoqi Qian, Yuriy Kuleshov

Journal article  |  2016  |  MONTHLY WEATHER REVIEW

Variable selection for short-term forecasting (up to 72 h) of tropical cyclone (TC) genesis has been investigated. IBTrACS data (1..

Spline-based modelling of near-surface wind speeds in tropical cyclones

Jasper S Wijnands, Guoqi Qian, Yuriy Kuleshov

Journal article  |  2016  |  APPLIED MATHEMATICAL MODELLING

A tropical cyclone (TC) making landfall at a populated coastal area can cause both loss of life and damage to infrastructure and t..