18 citations · 32 across the 9 of their papers we have counts for
10 papers
Near-Unit-Root Theory for Affine Processes
Gael Anne, Yang Lu, Xuewen Yu +1
Discrete-time affine processes are widely used in finance and economics and encompass count, positive, and nonnegative-valued processes. This paper develops near-unit-root asymptot…
Large Structural VARs with Multiple Sign and Ranking Restrictions
Joshua Chan, Christian Matthes, Xuewen Yu
Large VARs are increasingly used in structural analysis as a unified framework to study the impacts of multiple structural shocks simultaneously. However, the concurrent identifica…
Resource Adequacy and Capacity Procurement: Metrics and Decision Support Analysis
Chris J. Dent, Nestor Sanchez, Aditi Shevni +3
Resource adequacy studies typically use standard metrics such as Loss of Load Expectation and Expected Energy Unserved to quantify the risk of supply shortfalls. This paper critiqu…
Causal chain event graphs for remedial maintenance
Xuewen Yu, Jim Q. Smith
The analysis of system reliability has often benefited from graphical tools such as fault trees and Bayesian networks. In this article, instead of conventional graphical tools, we…
Large Bayesian VARs with Factor Stochastic Volatility: Identification, Order Invariance and Structural Analysis
Joshua Chan, Eric Eisenstat, Xuewen Yu
Vector autoregressions (VARs) with multivariate stochastic volatility are widely used for structural analysis. Often the structural model identified through economically meaningful…
Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility
Joshua C. C. Chan, Xuewen Yu
We propose a new variational approximation of the joint posterior distribution of the log-volatility in the context of large Bayesian VARs. In contrast to existing approaches that…
Large Order-Invariant Bayesian VARs with Stochastic Volatility
Joshua C. C. Chan, Gary Koop, Xuewen Yu
Many popular specifications for Vector Autoregressions (VARs) with multivariate stochastic volatility are not invariant to the way the variables are ordered due to the use of a Cho…
Hierarchical Causal Analysis of Natural Languages on a Chain Event Graph
Xuewen Yu, Jim Q. Smith
Various graphical models are widely used in reliability to provide a qualitative description of domain experts hypotheses about how a system might fail. Here we argue that the sema…
Building A Bayesian Decision Support System for Evaluating COVID-19 Countermeasure Strategies
Peter Strong, Aditi Shenvi, Xuewen Yu +3
Decision making in the face of a disaster requires the consideration of several complex factors. In such cases, Bayesian multi-criteria decision analysis provides a framework for d…
Bayesian Learning of Causal Relationships for System Reliability
Xuewen Yu, Jim Q. Smith, Linda Nichols
Causal theory is now widely developed with many applications to medicine and public health. However within the discipline of reliability, although causation is a key concept in thi…