A General Quantile Function Model for Economic and Financial Time Series
提出一个涵盖一维和多维的一般分位数函数模型，并开发统一的贝叶斯框架，使那些仅由分位数函数定义、无显式密度函数形式的分布能更方便地用于经济和金融数据分析。
This article proposed a general quantile function model that covers both one- and multiple-dimensional models and that takes several existing models in the literature as its special cases. This article also developed a new uniform Bayesian framework for quantile function modelling and illustrated the developed approach through different quantile function models. Many distributions are defined explicitly only via their quanitle functions as the corresponding distribution or density functions do not have an explicit mathematical expression. Such distributions are rarely used in economic and financial modelling in practice. The developed methodology makes it more convenient to use these distributions in analyzing economic and financial data. Empirical applications to economic and financial time series and comparisons with other types of models and methods show that the developed method can be very useful in practice.