Beta regression offers a robust framework for analysing data that are confined to the unit interval, enabling researchers to model proportions, probabilities, and other fractional outcomes with ...

Laura Liu, Hyungsik Roger Moon, Frank Schorfheide, FORECASTING WITH DYNAMIC PANEL DATA MODELS, Econometrica, Vol. 88, No. 1 (January 2020), pp. 171-201 ...

This paper illustrates application of Bayesian inference to quantile regression. Bayesian inference regards unknown parameters as random variables, and we describe an MCMC algorithm to estimate the ...

In this paper, we suggest to use quantile regression for survival data to quantify the long-term benefit of immunotherapy. Our motivation is that this approach is not trial-specific and provides ...