Modeling Dynamic Preferences: A Bayesian Robust Dynamic Latent Ordered Probit Model
نویسندگان
چکیده
منابع مشابه
Bayesian dynamic modeling of latent trait distributions.
Studies of latent traits often collect data for multiple items measuring different aspects of the trait. For such data, it is common to consider models in which the different items are manifestations of a normal latent variable, which depends on covariates through a linear regression model. This article proposes a flexible Bayesian alternative in which the unknown latent variable density can ch...
متن کاملBaysian Inference for Ordered Response Data with a Dynamic Spatial Ordered Probit Model
Many databases involve ordered discrete responses in a temporal and spatial context, including, for example, land development intensity levels, vehicle ownership, and pavement conditions. An appreciation of such behaviors requires rigorous statistical methods, recognizing spatial effects and dynamic processes. This study develops a dynamic spatial ordered probit (DSOP) model in order to capture...
متن کاملDynamic Factor Volatility Modeling: A Bayesian Latent Threshold Approach
We discuss dynamic factor modeling of financial time series using a latent threshold approach to factor volatility. This approach models time-varying patterns of occurrence of zero elements in factor loadings matrices, providing adaptation to changing relationships over time and dynamic model selection. We summarize Bayesian methods for model fitting and discuss analyses of several FX, commodit...
متن کاملBayesian Latent Threshold Modeling: Multivariate Time Series and Dynamic Networks
We discuss dynamic network modeling for multivariate time series, exploiting dynamic variable selection and model structure uncertainty strategies based on the recently introduced concept of “latent thresholding.” This dynamic modeling concept addresses a critical and challenging problem in multivariate time series and dynamic modeling: that of inducing formal probabilistic structures that are ...
متن کاملBayesian Analysis of the Ordered Probit Model with Endogenous Selection∗
This paper presents a Bayesian analysis of an ordered probit model with endogenous selection. The model can be applied when analyzing ordered outcomes that depend on endogenous covariates that are discrete choice indicators modeled by a multinomial probit model. The model is illustrated by analyzing the effects of different types of medical insurance plans on the level of hospital utilization, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Political Analysis
سال: 2013
ISSN: 1047-1987,1476-4989
DOI: 10.1093/pan/mpt001