Modern systems of official statistics require the timely estimation of area-specific densities of sub …-parametric kernel density estimation that reverses the rounding process by using a Bayesian measurement error model. The methodology is … used for identifying areas with a need for new advisory centres for migrants and infrastructure for older people. …

The estimation of racial disparities in various fields is often hampered by the lack of individual-level racial … Instrumental Regression for Disparity Estimation (BIRDiE), that take BISG probabilities as inputs and produce racial disparity … estimates by using surnames as an instrumental variable for race. Our estimation method is scalable, making it possible to …

Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility … unobserved stochastic volatility, and the varying approaches that have been taken for such estimation. In order to simplify the … comprehension of these estimation methods, the main methods for estimating stochastic volatility are discussed, with focus on their …