Conditional distribution functions are important statistical objects for the analysis of a wide class of problems… Continue reading.
We propose dual regression as an alternative to the quantile regression process for the global estimation… Continue reading.
We propose simultaneous mean-variance regression for the linear estimation and approximation of conditional mean functions. In… Continue reading.
We propose an alternative (‘dual regression’) to the quantile regression process for the global estimation of… Continue reading.
We propose an alternative (“dual regression”) to the quantile regression process for the global estimation of… Continue reading.
We model attitudes as latent variables that induce stochastic dominance relations in (item) responses. Observable characteristics… Continue reading.
This paper (i) formalizes conditions under which a population distribution of categorical responses to attitudinal questions… Continue reading.
A new methodology that estimates attitudes semiparametrically and estimates actions nonparametrically, as a function of the… Continue reading.