Coming up with Bayesian models for spatial data is easy, but performing inference with them
can be challenging. Writing fast inference code for a complex spatial model with realistically …

Small area population forecasts are widely used by government and business for a variety of
planning, research and policy purposes, and often influence major investment decisions …

Under the background of global warming and economic globalization, energy structure
transformation and financial liberalization have become hot issues of global concern …

Since 2000, many countries have achieved considerable success in improving child
survival, but localized progress remains unclear. To inform efforts towards United Nations …

Small area estimation is a research area in official and survey statistics of great practical
relevance for national statistical institutes and related organizations. Despite rapid …

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians
and quantitative social, economic and public health students and researchers who work with …

The under-five mortality rate (U5MR) is a critical and widely available population health
indicator. Both the MDGs and SDGs define targets for improvement in the U5MR, and the …

An extensive literature documents the contributions of discrimination and social exclusion to
health disparities. This study investigates life expectancy differentials along lines of caste …

Background Previous studies have reported an association between warm temperature and
asthma hospitalisation. They have reported different sex-related and age-related …

BACKGROUND Trend analysis of child mortality is vital to evaluate countries' progress
towards achieving the Sustainable Development Goal on health (SDG 3). However, strictly …