The researchers used a new method called the varying coefficient model to study house prices in Hong Kong. This model allows coefficients to change smoothly based on different factors, reducing errors in predictions. They found that this approach is better than traditional methods when dealing with lots of different factors that affect house prices. By combining this model with quantile regression, they were able to see how different house attributes affect prices across the whole range of prices.