Guodong Li
Dados Biográficos
| ID | 3635606 |
|---|---|
| NOME | Guodong Li |
| PRENOMES | Guodong |
| SOBRENOME | Li |
| ASSINATURA | LI G |
| AFILIAÇÕES | University of Hong Kong |
| ORCID | 0000-0003-3137-8471 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 18 |
| TOTAL DE CITAÇÕES | 15 |
| TOTAL COMO AUTOR | 18 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2007 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 2 |
Panel Quantile GARCH Models under Homogeneity
Empirical evidence indicates that the estimates of GARCH parameters cluster in a panel of financial assets, potentially due to assets with similar exposure to common market risks. To capture the subgroup effect on conditional quantiles of financial asset returns and improve estimation efficiency by pooling information across individuals within the same group, this paper introduces the panel quantile GARCH model with homogeneous structures in the …
Differentiated Carbon Stabilization Pathways Reveal Cropland Promotes Maoc in the Yellow River Sediment‐Affected Area
Soil organic carbon (SOC) fractions play a crucial role in regulating biogeochemical cycles and carbon sequestration processes. However, in ecologically fragile regions such as the Yellow River sediment‐affected area, the long‐term dynamics and turnover mechanisms of particulate organic carbon (POC) and mineral‐associated organic carbon (MAOC) under different land‐use types remain unclear. Based on the 2013 and 2023 field samples, we examined pla…
Barriers to digital services trade
Research background: The improvement in digital transmission has driven the rapid development of digital services trade; however, it comes with more barriers to it. International comparisons of the restriction levels of digital services trade are crucial for promoting its liberalization, thereby obtaining economic gains. To provide a reliable measurement of barriers to digital services trade, it is necessary to construct a reasonable evaluation i…
Cost of resilience to climate change
A growing scholarship is focusing on the cost of social resilience to climate change in the past. Among different resilience strategies, migration could be effective for nomadic societies despite the potential consequences of conflicts and epidemics. Thus, this study utilizes historical records to statistically investigate the linkages among nomadic migrations, nomad–farmer conflicts, and epidemics under climate change and population pressure in …
YuPingFeng (YPF) upregulates caveolin-1 (CAV1) to alleviate pulmonary fibrosis through the TGF-β1/Smad2 pathway
Network pharmacology analysis revealed that YPF exhibits significant potential as a therapeutic intervention for pulmonary fibrosis by targeting various compounds and pathways. This study emphasizes that the efficacy of YPF in treating pulmonary fibrosis may be attributed to its ability to up-regulate CAV1 expression and inhibiting pulmonary fibrosis via modulation of the TGF-β1/Smad2 signaling pathway. These findings underscore the promising rol…
Ginsenoside Rg1 alleviates Anit-induced cholestatic liver injury by inhibiting hepatic inflammation and oxidative stress via Sirt1 activation
Physical activity modifies the association of the composite dietary antioxidant index with all-cause mortality in the US osteoarthritis population
Background: It remains unclear how antioxidant intake affects all-cause mortality in osteoarthritis (OA) patients. In this prospective cohort study, we aim to explore the association of the Composite Dietary Antioxidant Index (CDAI) with all-cause mortality and investigate the interaction of physical activity (PA) and CDAI on all-cause mortality in OA populations. Methods: A total of 3,197 adults with OA in the National Health and Nutrition Exami…
Nonparametric Quantile Regression for Homogeneity Pursuit in Panel Data Models
Many panel data have the latent subgroup effect on individuals, and it is important to correctly identify these groups since the efficiency of resulting estimators can be improved significantly by pooling the information of individuals within each group. However, the currently assumed parametric and semiparametric relationship between the response and predictors may be misspecified, which leads to a wrong grouping result, and the nonparametric ap…
A Note on Distributed Quantile Regression by Pilot Sampling and One-Step Updating
Quantile regression is a method of fundamental importance. How to efficiently conduct quantile regression for a large dataset on a distributed system is of great importance. We show that the popularly used one-shot estimation is statistically inefficient if data are not randomly distributed across different workers. To fix the problem, a novel one-step estimation method is developed with the following nice properties. First, the algorithm is comm…
Reconstruction of sunspot activity, cold and warm events, and drought and flood events in the central plain of China during the northern Song Dynasty using historical documents
The Strange Flight of the Peacock
A common Chinese proverb—“A peacock flies southeast”—could describe the normative idea of the southeasterly spread of agriculturalists as a trend in historical China. Indeed, northwest China was the least attractive place to agriculturalists because of its much harsher climatic conditions. Previous research on the historical northwesterly movements of Chinese farmers has relied on isolated case studies and suggested a variety of causes. This stud…
Urban heat island effect of a typical valley city in China
An Empirical Study on Low-Carbon
Low-carbon logistics meets the requirements of a low-carbon economy and is the most effective operating model for logistic development to achieve sustainability by coping with severe energy consumption and global warming. Low-carbon logistics aims to reduce carbon intensity rather than simply reduce energy consumption and carbon emissions. Human resources are an important part of the great competition in the logistics market and significantly aff…
On Mixture Double Autoregressive Time Series Models
This article proposes a mixture double autoregressive model by introducing the flexibility of mixture models to the double autoregressive model, a novel conditional heteroscedastic model recently proposed in the literature. To make it more flexible, the mixing proportions are further assumed to be time varying, and probabilistic properties including strict stationarity and higher order moments are derived. Inference tools including the maximum li…
Temperature and precipitation effects on agrarian economy in late imperial China
Climate change has been statistically proven to substantially influence the economy of early modern Europe, particularly in the long term. However, a detailed analysis of climate change and the economy of historical China remains lacking, particularly from a large-scale and quantitative perspective. This study quantitatively analyzes the relationship between climate change and the economy in late imperial China (AD 1600-1840) at the national leve…
Epidemics in Ming and Qing China
Score Tests for Hyperbolic GARCH Models
Davidson (2004) recently proposed the hyperbolic GARCH model to capture the phenomenon of longrange dependence in volatility, with the extent of such dependence measured by the geometric or hyperbolic decay of the coefficients in an ARCH(∞) model. In this article, we reinterpret the hyperbolic GARCH model by building a link with the common GARCH model, and construct a simplified score test to check the presence of the hyperbolic decay. We derive …
Robust Regression Shrinkage and Consistent Variable Selection Through the LAD-Lasso
The least absolute deviation (LAD) regression is a useful method for robust regression, and the least absolute shrinkage and selection operator (lasso) is a popular choice for shrinkage estimation and variable selection. In this article we combine these two classical ideas together to produce LAD-lasso. Compared with the LAD regression, LAD-lasso can do parameter estimation and variable selection simultaneously. Compared with the traditional lass…
Epidemics in Ming and Qing China
The Strange Flight of the Peacock
A common Chinese proverb—“A peacock flies southeast”—could describe the normative idea of the southeasterly spread of agriculturalists as a trend in historical China. Indeed, northwest China was the least attractive place to agriculturalists because of its much harsher climatic conditions. Previous research on the historical northwesterly movements of Chinese farmers has relied on isolated case studies and suggested a variety of causes. This stud…
Robust Regression Shrinkage and Consistent Variable Selection Through the LAD-Lasso
The least absolute deviation (LAD) regression is a useful method for robust regression, and the least absolute shrinkage and selection operator (lasso) is a popular choice for shrinkage estimation and variable selection. In this article we combine these two classical ideas together to produce LAD-lasso. Compared with the LAD regression, LAD-lasso can do parameter estimation and variable selection simultaneously. Compared with the traditional lass…
Score Tests for Hyperbolic GARCH Models
Davidson (2004) recently proposed the hyperbolic GARCH model to capture the phenomenon of longrange dependence in volatility, with the extent of such dependence measured by the geometric or hyperbolic decay of the coefficients in an ARCH(∞) model. In this article, we reinterpret the hyperbolic GARCH model by building a link with the common GARCH model, and construct a simplified score test to check the presence of the hyperbolic decay. We derive …
Epidemics in Ming and Qing China
Temperature and precipitation effects on agrarian economy in late imperial China
Climate change has been statistically proven to substantially influence the economy of early modern Europe, particularly in the long term. However, a detailed analysis of climate change and the economy of historical China remains lacking, particularly from a large-scale and quantitative perspective. This study quantitatively analyzes the relationship between climate change and the economy in late imperial China (AD 1600-1840) at the national leve…
On Mixture Double Autoregressive Time Series Models
This article proposes a mixture double autoregressive model by introducing the flexibility of mixture models to the double autoregressive model, a novel conditional heteroscedastic model recently proposed in the literature. To make it more flexible, the mixing proportions are further assumed to be time varying, and probabilistic properties including strict stationarity and higher order moments are derived. Inference tools including the maximum li…
Urban heat island effect of a typical valley city in China
An Empirical Study on Low-Carbon
Low-carbon logistics meets the requirements of a low-carbon economy and is the most effective operating model for logistic development to achieve sustainability by coping with severe energy consumption and global warming. Low-carbon logistics aims to reduce carbon intensity rather than simply reduce energy consumption and carbon emissions. Human resources are an important part of the great competition in the logistics market and significantly aff…
Reconstruction of sunspot activity, cold and warm events, and drought and flood events in the central plain of China during the northern Song Dynasty using historical documents
The Strange Flight of the Peacock
A common Chinese proverb—“A peacock flies southeast”—could describe the normative idea of the southeasterly spread of agriculturalists as a trend in historical China. Indeed, northwest China was the least attractive place to agriculturalists because of its much harsher climatic conditions. Previous research on the historical northwesterly movements of Chinese farmers has relied on isolated case studies and suggested a variety of causes. This stud…
A Note on Distributed Quantile Regression by Pilot Sampling and One-Step Updating
Quantile regression is a method of fundamental importance. How to efficiently conduct quantile regression for a large dataset on a distributed system is of great importance. We show that the popularly used one-shot estimation is statistically inefficient if data are not randomly distributed across different workers. To fix the problem, a novel one-step estimation method is developed with the following nice properties. First, the algorithm is comm…
Physical activity modifies the association of the composite dietary antioxidant index with all-cause mortality in the US osteoarthritis population
Background: It remains unclear how antioxidant intake affects all-cause mortality in osteoarthritis (OA) patients. In this prospective cohort study, we aim to explore the association of the Composite Dietary Antioxidant Index (CDAI) with all-cause mortality and investigate the interaction of physical activity (PA) and CDAI on all-cause mortality in OA populations. Methods: A total of 3,197 adults with OA in the National Health and Nutrition Exami…
Nonparametric Quantile Regression for Homogeneity Pursuit in Panel Data Models
Many panel data have the latent subgroup effect on individuals, and it is important to correctly identify these groups since the efficiency of resulting estimators can be improved significantly by pooling the information of individuals within each group. However, the currently assumed parametric and semiparametric relationship between the response and predictors may be misspecified, which leads to a wrong grouping result, and the nonparametric ap…
Cost of resilience to climate change
A growing scholarship is focusing on the cost of social resilience to climate change in the past. Among different resilience strategies, migration could be effective for nomadic societies despite the potential consequences of conflicts and epidemics. Thus, this study utilizes historical records to statistically investigate the linkages among nomadic migrations, nomad–farmer conflicts, and epidemics under climate change and population pressure in …
YuPingFeng (YPF) upregulates caveolin-1 (CAV1) to alleviate pulmonary fibrosis through the TGF-β1/Smad2 pathway
Network pharmacology analysis revealed that YPF exhibits significant potential as a therapeutic intervention for pulmonary fibrosis by targeting various compounds and pathways. This study emphasizes that the efficacy of YPF in treating pulmonary fibrosis may be attributed to its ability to up-regulate CAV1 expression and inhibiting pulmonary fibrosis via modulation of the TGF-β1/Smad2 signaling pathway. These findings underscore the promising rol…
Ginsenoside Rg1 alleviates Anit-induced cholestatic liver injury by inhibiting hepatic inflammation and oxidative stress via Sirt1 activation
Barriers to digital services trade
Research background: The improvement in digital transmission has driven the rapid development of digital services trade; however, it comes with more barriers to it. International comparisons of the restriction levels of digital services trade are crucial for promoting its liberalization, thereby obtaining economic gains. To provide a reliable measurement of barriers to digital services trade, it is necessary to construct a reasonable evaluation i…
Panel Quantile GARCH Models under Homogeneity
Empirical evidence indicates that the estimates of GARCH parameters cluster in a panel of financial assets, potentially due to assets with similar exposure to common market risks. To capture the subgroup effect on conditional quantiles of financial asset returns and improve estimation efficiency by pooling information across individuals within the same group, this paper introduces the panel quantile GARCH model with homogeneous structures in the …
Differentiated Carbon Stabilization Pathways Reveal Cropland Promotes Maoc in the Yellow River Sediment‐Affected Area
Soil organic carbon (SOC) fractions play a crucial role in regulating biogeochemical cycles and carbon sequestration processes. However, in ecologically fragile regions such as the Yellow River sediment‐affected area, the long‐term dynamics and turnover mechanisms of particulate organic carbon (POC) and mineral‐associated organic carbon (MAOC) under different land‐use types remain unclear. Based on the 2013 and 2023 field samples, we examined pla…
Geography (7 obras) · China (6 obras) · Climate change (6 obras) · Mathematics (6 obras) · Statistics (6 obras) · Computer Science (5 obras) · Econometrics (5 obras) · Economics (5 obras) · Artificial Intelligence (4 obras) · Estimator (4 obras)