activity
20182025
most citedDynamical non-Gaussian modelling of spatial processes

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

stat.AP2025

Bayesian Multivariate Approach to Subnational mortality graduation with Age-Varying Smoothness

Luiz F. V. Figueiredo, Viviana G. R. Lobo, Mariane B. Alves +1

This work introduces a Bayesian smoothing approach for the joint graduation of mortality rates across multiple populations. In particular, dynamical linear models are used to induc…

stat.ME2023

A Bayesian Skew-heavy-tailed modelling for loss reserving

William L. Leão, Viviana G. R. Lobo

This paper focuses on modelling loss reserving to pay outstanding claims. As the amount liable on any given claim is not known until settlement, we propose a flexible model via hea…

stat.CO2023

BayesMortalityPlus: A package in R for Bayesian graduation of mortality modelling

Lucas M. F. Silva, Luiz F. V. Figueiredo, Viviana G. R. Lobo +2

The BayesMortalityPlus package provides a framework for modelling and predicting mortality data. The package includes tools for the construction of life tables based on Heligman-Po…

stat.AP2022

Lapse risk modelling in insurance: a Bayesian mixture approach

Viviana G. R. Lobo, Thais C. O. Fonseca, Mariane B. Alves

This paper focuses on modelling surrender time for policyholders in the context of life insurance. In this setup, a large lapse rate at the first months of a contract is often obse…

stat.AP2021★ 1 cited

Dynamical non-Gaussian modelling of spatial processes

Thaís C. O. da Fonseca, Viviana G. R. Lobo, Alexandra M. Schmidt

Spatio-temporal processes in environmental applications are often assumed to follow a Gaussian model, possibly after some transformation. However, heterogeneity in space and time m…

stat.CO2018

Bayesian cross-validation of geostatistical models

Viviana G R Lobo, Thaís C O da Fonseca, Fernando A S Moura

The problem of validating or criticising models for georeferenced data is challenging, since the conclusions can vary significantly depending on the locations of the validation set…