activity
20202023
most citedOn Robust Probabilistic Principal Component Analysis using Multivariate -Distributions

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2023★ 1 cited

Kriging Methods for Modelling Spatial Basis Risk in Weather Index Insurances: A Technical Note

Yiping Guo, Johnny Siu-Hang Li

The use of weather index insurances is subject to spatial basis risk, which arises from the fact that the location of the user's risk exposure is not the same as the location of an…

stat.ME2023

Fast Estimation of the Renshaw-Haberman Model and Its Variants

Yiping Guo, Johnny Siu-Hang Li

In mortality modelling, cohort effects are often taken into consideration as they add insights about variations in mortality across different generations. Statistically speaking, m…

stat.ME2022

Robust Parameter Estimation for the Lee-Carter Family: A Probabilistic Principal Component Approach

Yiping Guo, Johnny Siu-Hang Li

The well-known Lee-Carter model uses a bilinear form to represent the log mortality rate and has been widely researched and developed over the past thirt…

stat.ME2020

Conditional Density Estimation via Weighted Logistic Regressions

Yiping Guo, Howard D. Bondell

Compared to the conditional mean as a simple point estimator, the conditional density function is more informative to describe the distributions with multi-modality, asymmetry or h…

stat.ME2020★ 2 cited

On Robust Probabilistic Principal Component Analysis using Multivariate -Distributions

Yiping Guo, Howard D. Bondell

Probabilistic principal component analysis (PPCA) is a probabilistic reformulation of principal component analysis (PCA), under the framework of a Gaussian latent variable model. T…