Tao Zou
Biographic Data
| ID | 4111996 |
|---|---|
| NAME | Tao Zou |
| GIVEN NAMES | Tao |
| FAMILY NAME | Zou |
| SIGNATURE | ZOU T |
| AFFILIATIONS | Central South University |
| ORCID | 0000-0001-7030-3603 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Quasi-Score Matching Estimation for Spatial Autoregressive Model with Random Weights Matrix and Regressors
With the rapid advancements in technology for data collection, the application of the spatial autoregressive (SAR) model has become increasingly prevalent in real-world analysis, particularly when dealing with large datasets. However, the commonly used quasi-maximum likelihood estimation (QMLE) for the SAR model is not computationally scalable to handle the data with a large size. In addition, when establishing the asymptotic properties of the pa…
Does Global Value Chain Participation Matter for Economic Upgrading? A Nonlinear Insight
In recent decades, global value chains (GVCs) have come to dominate much of world trade. Participation in GVCs is widely regarded as a key driver of development by enabling countries to climb the value‐added ladder. However, tighter governance structures within GVCs can make these benefits uncertain. This paper investigates the dynamic impact of GVC participation on economic upgrading using a semiparametric smooth coefficient model with panel dat…
Study on thermal adaptation behaviors of bus passengers
Thermal comfort (TC) inside buses has always been a key consideration for passengers when traveling. Although numerous studies and policies have explored and guided air conditioning standards for buses, research on passengers' thermal adaptation behaviors remains scarce—particularly in the context of widespread dissatisfaction with the thermal environment on buses. In this study, we adopted a mixed-methods approach and developed a new integrated …
Penalized Sparse Covariance Regression with High Dimensional Covariates
Covariance regression offers an effective way to model the large covariance matrix with the auxiliary similarity matrices. In this work, we propose a sparse covariance regression (SCR) approach to handle the potentially high-dimensional predictors (i.e., similarity matrices). Specifically, we use the penalization method to identify the informative predictors and estimate their associated coefficients simultaneously. We first investigate the Lasso…
Campus cultural landscape map: Design and user experience measurement
Covariance Model with General Linear Structure and Divergent Parameters
For estimating the large covariance matrix with a limited sample size, we propose the covariance model with general linear structure (CMGL) by employing the general link function to connect the covariance of the continuous response vector to a linear combination of weight matrices. Without assuming the distribution of responses, and allowing the number of parameters associated with weight matrices to diverge, we obtain the quasi-maximum likelihoo…
Towards the Empowerment of the Vanquished: African Indigenous Knowledge Systems in Ayi Kwei Armah’s The Healers
Against the background of the 19th century British domination of Ghana, Ayi Kwei Armah’s The Healers (1978) depicts the restorative activities of a group of traditional health practitioners. The paper seeks to place African Indigenous Knowledge Systems at the heart of the resistance to colonialism and imperialism. The paper resorts to a close reading of the narrative guided by perspectives on recuperation provided by Armah, Amilcar Cabral, and Ch…
Imputations for High Missing Rate Data in Covariates Via Semi-supervised Learning Approach
Advancements in data collection techniques and the heterogeneity of data resources can yield high percentages of missing observations on variables, such as block-wise missing data. Under missing-data scenarios, traditional methods such as the simple average, k-nearest neighbor, multiple, and regression imputations may lead to results that are unstable or unable be computed. Motivated by the concept of semi-supervised learning, we propose a novel …
Inward and Outward Network Influence Analysis
Measuring heterogeneous influence across nodes in a network is critical in network analysis. This article proposes an inward and outward network influence (IONI) model to assess nodal heterogeneity. Specifically, we allow for two types of influence parameters; one measures the magnitude of influence that each node exerts on others (outward influence), while we introduce a new parameter to quantify the receptivity of each node to being influenced …
Gut microbiome characteristics of comorbid generalized anxiety disorder and functional gastrointestinal disease: Correlation with alexithymia and personality traits
Functional gastrointestinal disease comorbidity GAD may be related to an increase in the relative abundance of Fusobacterium . FGID non-comorbidity GAD may be related to the increased relative abundance of Hemophilus . The increased relative abundance of Fusobacterium and Megamonas is associated with personality traits such as difficulty describing feelings and difficulty identifying feelings, neuroticism, and negative cognition of disease
Towards reconstructing Africa: Recuperation and responsibility in Ayi Kwei Armah’s The Healers
A product of Africa’s pre-colonial and colonial history, Ayi Kwei Armah’s fifth novel, The Healers (1978), is steeped in an African communalistic worldview and the functional conception of art. In this article we examine the multiple dimensions to recuperation within the context of the reconstruction of Africa, the continental search for utopia, and the responsibility that this places on Africans. Using Armah’s communitarian perspectives on healt…
Serum Metabolic Profiling of Late-Pregnant Women With Antenatal Depressive Symptoms
Background: Antenatal depression (AD) is a major public health issue worldwide and lacks objective laboratory-based tests to support its diagnosis. Recently, small metabolic molecules have been found to play a vital role in interpreting the pathogenesis of AD. Thus, non-target metabolomics was conducted in serum. Methods: Liquid chromatography-tandem mass spectrometry-based metabolomics platforms were used to conduct serum metabolic profiling of …
Enhancing Estimation for Interest Rate Diffusion Models With Bond Prices
We consider improving estimating parameters of diffusion processes for interest rates by incorporating information in bond prices. This is designed to improve the estimation of the drift parameters, which are known to be subject to large estimation errors. It is shown that having the bond prices together with the short rates leads to more efficient estimation of all parameters for the interest rate models. It enhances the estimation efficiency of…
Extreme precipitation event over the Yellow Sea western coast: Is there a trend
Reliability and Validity of the Chinese Version of the Multidimensional Anxiety Scale for Children Among Chinese Secondary School Students
Towards reconstructing Africa: Recuperation and responsibility in Ayi Kwei Armah’s The Healers
A product of Africa’s pre-colonial and colonial history, Ayi Kwei Armah’s fifth novel, The Healers (1978), is steeped in an African communalistic worldview and the functional conception of art. In this article we examine the multiple dimensions to recuperation within the context of the reconstruction of Africa, the continental search for utopia, and the responsibility that this places on Africans. Using Armah’s communitarian perspectives on healt…
Reliability and Validity of the Chinese Version of the Multidimensional Anxiety Scale for Children Among Chinese Secondary School Students
Enhancing Estimation for Interest Rate Diffusion Models With Bond Prices
We consider improving estimating parameters of diffusion processes for interest rates by incorporating information in bond prices. This is designed to improve the estimation of the drift parameters, which are known to be subject to large estimation errors. It is shown that having the bond prices together with the short rates leads to more efficient estimation of all parameters for the interest rate models. It enhances the estimation efficiency of…
Extreme precipitation event over the Yellow Sea western coast: Is there a trend
Serum Metabolic Profiling of Late-Pregnant Women With Antenatal Depressive Symptoms
Background: Antenatal depression (AD) is a major public health issue worldwide and lacks objective laboratory-based tests to support its diagnosis. Recently, small metabolic molecules have been found to play a vital role in interpreting the pathogenesis of AD. Thus, non-target metabolomics was conducted in serum. Methods: Liquid chromatography-tandem mass spectrometry-based metabolomics platforms were used to conduct serum metabolic profiling of …
Imputations for High Missing Rate Data in Covariates Via Semi-supervised Learning Approach
Advancements in data collection techniques and the heterogeneity of data resources can yield high percentages of missing observations on variables, such as block-wise missing data. Under missing-data scenarios, traditional methods such as the simple average, k-nearest neighbor, multiple, and regression imputations may lead to results that are unstable or unable be computed. Motivated by the concept of semi-supervised learning, we propose a novel …
Inward and Outward Network Influence Analysis
Measuring heterogeneous influence across nodes in a network is critical in network analysis. This article proposes an inward and outward network influence (IONI) model to assess nodal heterogeneity. Specifically, we allow for two types of influence parameters; one measures the magnitude of influence that each node exerts on others (outward influence), while we introduce a new parameter to quantify the receptivity of each node to being influenced …
Gut microbiome characteristics of comorbid generalized anxiety disorder and functional gastrointestinal disease: Correlation with alexithymia and personality traits
Functional gastrointestinal disease comorbidity GAD may be related to an increase in the relative abundance of Fusobacterium . FGID non-comorbidity GAD may be related to the increased relative abundance of Hemophilus . The increased relative abundance of Fusobacterium and Megamonas is associated with personality traits such as difficulty describing feelings and difficulty identifying feelings, neuroticism, and negative cognition of disease
Towards reconstructing Africa: Recuperation and responsibility in Ayi Kwei Armah’s The Healers
A product of Africa’s pre-colonial and colonial history, Ayi Kwei Armah’s fifth novel, The Healers (1978), is steeped in an African communalistic worldview and the functional conception of art. In this article we examine the multiple dimensions to recuperation within the context of the reconstruction of Africa, the continental search for utopia, and the responsibility that this places on Africans. Using Armah’s communitarian perspectives on healt…
Covariance Model with General Linear Structure and Divergent Parameters
For estimating the large covariance matrix with a limited sample size, we propose the covariance model with general linear structure (CMGL) by employing the general link function to connect the covariance of the continuous response vector to a linear combination of weight matrices. Without assuming the distribution of responses, and allowing the number of parameters associated with weight matrices to diverge, we obtain the quasi-maximum likelihoo…
Towards the Empowerment of the Vanquished: African Indigenous Knowledge Systems in Ayi Kwei Armah’s The Healers
Against the background of the 19th century British domination of Ghana, Ayi Kwei Armah’s The Healers (1978) depicts the restorative activities of a group of traditional health practitioners. The paper seeks to place African Indigenous Knowledge Systems at the heart of the resistance to colonialism and imperialism. The paper resorts to a close reading of the narrative guided by perspectives on recuperation provided by Armah, Amilcar Cabral, and Ch…
Study on thermal adaptation behaviors of bus passengers
Thermal comfort (TC) inside buses has always been a key consideration for passengers when traveling. Although numerous studies and policies have explored and guided air conditioning standards for buses, research on passengers' thermal adaptation behaviors remains scarce—particularly in the context of widespread dissatisfaction with the thermal environment on buses. In this study, we adopted a mixed-methods approach and developed a new integrated …
Penalized Sparse Covariance Regression with High Dimensional Covariates
Covariance regression offers an effective way to model the large covariance matrix with the auxiliary similarity matrices. In this work, we propose a sparse covariance regression (SCR) approach to handle the potentially high-dimensional predictors (i.e., similarity matrices). Specifically, we use the penalization method to identify the informative predictors and estimate their associated coefficients simultaneously. We first investigate the Lasso…
Campus cultural landscape map: Design and user experience measurement
Quasi-Score Matching Estimation for Spatial Autoregressive Model with Random Weights Matrix and Regressors
With the rapid advancements in technology for data collection, the application of the spatial autoregressive (SAR) model has become increasingly prevalent in real-world analysis, particularly when dealing with large datasets. However, the commonly used quasi-maximum likelihood estimation (QMLE) for the SAR model is not computationally scalable to handle the data with a large size. In addition, when establishing the asymptotic properties of the pa…
Does Global Value Chain Participation Matter for Economic Upgrading? A Nonlinear Insight
In recent decades, global value chains (GVCs) have come to dominate much of world trade. Participation in GVCs is widely regarded as a key driver of development by enabling countries to climb the value‐added ladder. However, tighter governance structures within GVCs can make these benefits uncertain. This paper investigates the dynamic impact of GVC participation on economic upgrading using a semiparametric smooth coefficient model with panel dat…
Mathematics (7 works) · Statistics (7 works) · Computer Science (4 works) · Econometrics (4 works) · Estimator (4 works) · Applied Mathematics (3 works) · Spatial and Panel Data Analysis (3 works) · Statistical Methods and Inference (3 works) · African cultural and philosophical studies (2 works) · Anxiety (2 works)