activity
20202026
most citedGeneralized Geographically Weighted Regression Model within a Modularized Bayesian Framework

19 citations · 48 across the 8 of their papers we have counts for

collaborators

8 papers

q-fin.RM2026

Weighted Generalized Risk Measure and Risk Quadrangle: Characterization, Optimization and Application

Yang Liu, Yunran Wei, Xintao Ye

Various financial market scenarios may cause heterogeneous risk assessments among analysts, which motivates the usage of the Generalized Risk Measure in Fadina et al. (2024, Financ…

stat.ME2022★ 3 cited

A General Framework for Cutting Feedback within Modularised Bayesian Inference

Yang Liu, Robert J. B. Goudie

Standard Bayesian inference can build models that combine information from various sources, but this inference may not be reliable if components of a model are misspecified. Cut in…

math.ST2022

A Geometric Perspective on Bayesian and Generalized Fiducial Inference

Yang Liu, Jan Hannig, Alexander C Murph

Post-data statistical inference concerns making probability statements about model parameters conditional on observed data. When a priori knowledge about parameters is available, p…

econ.TH2022★ 8 cited

An axiomatic theory for anonymized risk sharing

Zhanyi Jiao, Steven Kou, Yang Liu +1

We study an axiomatic framework for anonymized risk sharing. In contrast to traditional risk sharing settings, our framework requires no information on preferences, identities, pri…

q-fin.RM2021

A Framework for Measures of Risk under Uncertainty

Tolulope Fadina, Yang Liu, Ruodu Wang

A risk analyst assesses potential financial losses based on multiple sources of information. Often, the assessment does not only depend on the specification of the loss random vari…

stat.ME2021★ 19 cited

Generalized Geographically Weighted Regression Model within a Modularized Bayesian Framework

Yang Liu, Robert J. B. Goudie

Geographically weighted regression (GWR) models handle geographical dependence through a spatially varying coefficient model and have been widely used in applied science, but its g…