Jiaying Gu
YOU?
Author Swipe
View article: Research on the Impact of ESG Performanceon Firm Value
Research on the Impact of ESG Performanceon Firm Value Open
View article: Reasonable uncertainty: Confidence intervals in empirical Bayes discrimination detection
Reasonable uncertainty: Confidence intervals in empirical Bayes discrimination detection Open
We revisit empirical Bayes discrimination detection, focusing on uncertainty arising from both partial identification and sampling variability. While prior work has mostly focused on partial identification, we find that some empirical find…
View article: The Value-added Catalog of OB Stars in LAMOST DR7
The Value-added Catalog of OB Stars in LAMOST DR7 Open
In this work, we update the catalog of OB stars based on the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) data release 7 and modified the OB stars selection criterion the spectral line indices space. The new catalog i…
View article: Causal effects of sepsis on structural changes in cerebral cortex: A Mendelian randomization investigation
Causal effects of sepsis on structural changes in cerebral cortex: A Mendelian randomization investigation Open
Previous research has shown a strong correlation between sepsis and brain structure. However, whether this relationship represents a causality remains elusive. In this study, we employed Mendelian randomization (MR) to probe the associatio…
View article: Research on Work Stress and Coping Strategies of International Cruise Service Staff
Research on Work Stress and Coping Strategies of International Cruise Service Staff Open
In the development process of the cruise industry, safety, efficiency, and high-quality tourism services have become the focus of attention. Due to the special working conditions, the psychological stress and physical health issues faced b…
View article: The Impact of the Development and Utilization of We-Media in the Internet Era on Urban Tourism
The Impact of the Development and Utilization of We-Media in the Internet Era on Urban Tourism Open
With the rapid development of the internet era, numerous online phenomena have emerged, among which We-Media stands as a highly representative entity. Leveraging its unique characteristics, We-Media continuously influences various aspects …
View article: Analysis of Influencing Factors and Countermeasures for Value Co-creation in Online Tourism Enterprises
Analysis of Influencing Factors and Countermeasures for Value Co-creation in Online Tourism Enterprises Open
The proliferation of internet technology has transformed the tourism landscape,with online tourism enterprises emerging as pivotal players. The concept of value co-creation, which emphasizes the collaborative efforts of enterprises, consum…
View article: Empirical Bayes for the Reluctant Frequentist
Empirical Bayes for the Reluctant Frequentist Open
Empirical Bayes methods offer valuable tools for a large class of compound decision problems. In this tutorial we describe some basic principles of the empirical Bayes paradigm stressing their frequentist interpretation. Emphasis is placed…
View article: Invidious Comparisons: Ranking and Selection as Compound Decisions
Invidious Comparisons: Ranking and Selection as Compound Decisions Open
There is an innate human tendency, one might call it the “league table mentality,” to construct rankings. Schools, hospitals, sports teams, movies, and myriad other objects are ranked even though their inherent multi‐dimensionality would s…
View article: A Dual Approach to Wasserstein-Robust Counterfactuals
A Dual Approach to Wasserstein-Robust Counterfactuals Open
View article: Counterfactual Identification and Latent Space Enumeration in Discrete Outcome Models
Counterfactual Identification and Latent Space Enumeration in Discrete Outcome Models Open
View article: Identification of Dynamic Panel Logit Models with Fixed Effects
Identification of Dynamic Panel Logit Models with Fixed Effects Open
We show that identification in a general class of dynamic panel logit models with fixed effects is related to the truncated moment problem from the mathematics literature. We use this connection to show that the identified set for structur…
View article: Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors
Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors Open
This paper considers (partial) identification of a variety of counterfactual parameters in binary response models with possibly endogenous regressors. Our framework allows for nonseparable index functions with multi-dimensional latent vari…
View article: Nonparametric Maximum Likelihood Methods for Binary Response Models With Random Coefficients
Nonparametric Maximum Likelihood Methods for Binary Response Models With Random Coefficients Open
The venerable method of maximum likelihood has found numerous recent applications in nonparametric estimation of regression and shape constrained densities. For mixture models the nonparametric maximum likelihood estimator (NPMLE) o…
View article: Sufficient statistics for unobserved heterogeneity in structural dynamic logit models
Sufficient statistics for unobserved heterogeneity in structural dynamic logit models Open
View article: A Dynamic Structural Model of Virus Diffusion and Network Production: A First Report
A Dynamic Structural Model of Virus Diffusion and Network Production: A First Report Open
This paper presents a dynamic structural model to evaluate economic and public health effects of the difusion of COVID-19, as well as the impact of factual and counterfactual public policies. Our framework combines a SIR epidemiological mo…
View article: A New Method for Estimating Teacher Value-Added
A New Method for Estimating Teacher Value-Added Open
This paper proposes a new methodology for estimating teacher value-added.Rather than imposing a normality assumption on unobserved teacher quality (as in the standard empirical Bayes approach), our nonparametric estimator permits the under…
View article: On the unbiased asymptotic normality of quantile regression with fixed effects
On the unbiased asymptotic normality of quantile regression with fixed effects Open
View article: A New Method for Estimating Teacher Value-Added
A New Method for Estimating Teacher Value-Added Open
View article: Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion
Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion Open
Structure learning of Bayesian networks has always been a challenging problem. Nowadays, massive-size networks with thousands or more of nodes but fewer samples frequently appear in many areas. We develop a divide-and-conquer framework, ca…
View article: Comment: Minimalist $g$-Modeling
Comment: Minimalist $g$-Modeling Open
Efron’s elegant approach to $g$-modeling for empirical Bayes problems is contrasted with an implementation of the Kiefer–Wolfowitz nonparametric maximum likelihood estimator for mixture models for several examples. The latter approach has …
View article: Learning big Gaussian Bayesian networks: partition, estimation, and fusion
Learning big Gaussian Bayesian networks: partition, estimation, and fusion Open
Structure learning of Bayesian networks has always been a challenging problem. Nowadays, massive-size networks with thousands or more of nodes but fewer samples frequently appear in many areas. We develop a divide-and-conquer framework, ca…
View article: Minimalist G-modelling: A comment on Efron
Minimalist G-modelling: A comment on Efron Open
Efron's elegant approach to g-modeling for empirical Bayes problems is contrasted with an implementation of the Kiefer-Wolfowitz nonparametric maximum likelihood estimator for mixture models for several examples. The latter approach has th…
View article: Learning Large-Scale Bayesian Networks with the <b>sparsebn</b> Package
Learning Large-Scale Bayesian Networks with the <b>sparsebn</b> Package Open
Learning graphical models from data is an important problem with wide applications, ranging from genomics to the social sciences. Nowadays datasets often have upwards of thousands---sometimes tens or hundreds of thousands---of variables an…
View article: Panel Data Quantile Regression with Grouped Fixed Effects
Panel Data Quantile Regression with Grouped Fixed Effects Open
This paper introduces estimation methods for grouped latent heterogeneity in panel data quantile regression. We assume that the observed individuals come from a heterogeneous population with a finite number of types. The number of types an…
View article: Structure Learning of Bayesian Networks: Group Regularization and Divide-and-Conquer
Structure Learning of Bayesian Networks: Group Regularization and Divide-and-Conquer Open
Bayesian networks, with structure given by a directed acyclic graph (DAG), are a popular class of graphical models. In this dissertation, we develop two structure learning methods for Bayesian networks.First we propose a score-based algori…
View article: Unobserved heterogeneity in economic models: Testing and estimation
Unobserved heterogeneity in economic models: Testing and estimation Open
This dissertation consists three chapters with a central theme on unobserved heterogeneity in economic models. The first two chapters discuss tests for parameter homogeneity against general alternatives. In the first chapter, I propose a u…