There is a growing interest in learning how the distribution of response variable changes with set observed predictors. Bayesian nonparametric dependent mixture models provide flexible approach to address this goal. However, several formulations require computationally demanding algorithms for posterior inference. Motivated by issue, we study class predictor-dependent infinite models, which rel...

This paper studies the effects of English proficiency on employment of U.S. foreign-born immigrants, using data from the 2001 American Community Survey (ACS). It shows that English proficiency plays an important role in immigrants’ employment and its effects on employment patterns across genders are different. Probit regressions show that immigrants with a higher level of English proficiency ar...

This paper reports on the development of a learning system for the prediction of dichotomous response variables by combining fuzzy concept with classical regression technique. The algorithm involves linear transformation followed by linear programming. In the algorithm presented it was assumed that the logarithm of the odds (logit) is linearly related to X’s, the independent variables after und...

The functional logit regression model was proposed by [@Escabias04] with the objective of modeling a scalar binary response variable from predictor. estimation in that case performed subspace $L^2(T)$ squared integrable functions finite dimension, generated set basis functions. For it assumed curves predictor and parameter belong to same subspace. so obtained affected high multicollinearity pro...

February 19, 2015 Type Package Title Nonparametric spatial data analysis Version 2.0 Date 2013-5-20 Author Daniel McMillen Maintainer Daniel McMillen Description Locally weighted regression, semiparametric and conditionally parametric regression, fourier and cubic spline functions, GMM and linearized spatial logit and probit, k-density functions and counterfactuals, nonp...

Latent class models offer an alternative perspective to the popular mixed logit form, replacing the continuous distribution with a discrete distribution in which preference heterogeneity is captured by membership of distinct classes of utility description. Within each class, preference homogeneity is usually assumed (i.e., fixed parameters), although interactions with observed contextual effect...