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Bayesian Approach to Zero-Inflated Bivariate Ordered Probit Regression Model, with an Application to Tobacco Use

https://doi.org/10.1155/2012/617678

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1099-1255(199705)12:3<337::aid-jae438>3.0.co;2-gopenalex-snapshot

HETEROGENEITY, EXCESS ZEROS, AND THE STRUCTURE OF COUNT DATA MODELS

inferredcites →https://doi.org/10.1002/bimj.200310077openalex-snapshot

Hierarchical Bayesian Analysis of Correlated Zero‐inflated Count Data

inferredcites →https://doi.org/10.1002/sim.1001openalex-snapshot

A Bayesian analysis of bivariate ordinal data: Wisconsin epidemiologic study of diabetic retinopathy revisited

inferredcites →https://doi.org/10.1007/bf01796615openalex-snapshot

Desired and excess fertility in Europe and the United States: Indirect estimates from World Fertility Survey data

inferredcites →https://doi.org/10.1016/j.econlet.2008.02.001openalex-snapshot

A bivariate zero-inflated count data regression model with unrestricted correlation

inferredcites →https://doi.org/10.1016/j.jeconom.2007.01.002openalex-snapshot

A zero-inflated ordered probit model, with an application to modelling tobacco consumption

inferredcites →https://doi.org/10.1016/j.jeconom.2007.11.001openalex-snapshot

Bayesian analysis of the ordered probit model with endogenous selection

inferredcites →https://doi.org/10.1016/j.jhealeco.2009.11.010openalex-snapshot

A flexible two-part random effects model for correlated medical costs

inferredcites →https://doi.org/10.1016/s0304-4076(99)00065-2openalex-snapshot

Bayesian analysis of cross-section and clustered data treatment models

inferredcites →https://doi.org/10.1080/07350015.1996.10524676openalex-snapshot

Excess Zeros in Count Models for Recreational Trips

inferredcites →https://doi.org/10.1080/10438590600982806openalex-snapshot

WHO'S PATENTING IN THE UNIVERSITY? EVIDENCE FROM THE SURVEY OF DOCTORATE RECIPIENTS

inferredcites →https://doi.org/10.1111/1467-9868.00353openalex-snapshot

Bayesian Measures of Model Complexity and Fit

inferredcites →https://doi.org/10.1111/j.0006-341x.2000.01030.xopenalex-snapshot

Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study

inferredcites →https://doi.org/10.1111/j.1467-9469.2009.00657.xopenalex-snapshot

Robust Estimation for Zero-Inflated Poisson Regression

inferredcites →https://doi.org/10.1162/003465397556737openalex-snapshot

Tests of the Specification of Univariate and Bivariate Ordered Probit

inferredcites →https://doi.org/10.1201/9780429258411openalex-snapshot

Bayesian Data Analysis

inferredcites →https://doi.org/10.1201/b14835openalex-snapshot

Markov Chain Monte Carlo in Practice

inferredcites →https://doi.org/10.1214/aos/1176325750openalex-snapshot

Markov Chains for Exploring Posterior Distributions

inferredcites →https://doi.org/10.1214/ss/1177011137openalex-snapshot

Practical Markov Chain Monte Carlo

inferredcites →https://doi.org/10.1214/ss/1177011143openalex-snapshot

[Practical Markov Chain Monte Carlo]: Comment: One Long Run with Diagnostics: Implementation Strategies for Markov Chain Monte Carlo

inferredcites →https://doi.org/10.2307/1269547openalex-snapshot

Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing

inferredcites →https://doi.org/10.2307/146002openalex-snapshot

Estimating the Distribution of Desired Family Size and Excess Fertility

inferredcites →https://doi.org/10.2307/2986327openalex-snapshot

A Bivariate Ordered Probit Model with Truncation: Helmet Use and Motorcycle Injuries

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3119673openalex-extracted

Estimation, Specification and Testing in Middle- and Zero-Inflated Ordered Probit Models

inferred← citeshttps://doi.org/10.1002/9781118895047.ch4openalex-snapshot

More advanced regression techniques

inferred← citeshttps://doi.org/10.1007/978-981-96-5206-8_25openalex-snapshot

Study on Unrealized Shopping and Leisure Trips with Zero-Inflated Bivariate Ordered Probit Model

inferred← citeshttps://doi.org/10.1080/13571516.2013.782980openalex-snapshot

Clustering, MNEs, and Innovation: Who Benefits and How?

inferred← citeshttps://doi.org/10.1093/jrsssc/qlae026openalex-snapshot

Exponential tilting for zero-inflated interval regression with applications to cyber security survey data

inferred← citeshttps://doi.org/10.1111/obes.12366openalex-snapshot

Modelling Category Inflation with Multiple Inflation Processes: Estimation, Specification and Testing1

inferred← citeshttps://doi.org/10.21203/rs.3.rs-6948933/v1openalex-snapshot

Fokker-Planck formalism and Shannon entropy in forecasting weather extremes

inferred← citeshttps://doi.org/10.22606/jas.2016.13002openalex-snapshot

Bayesian Inference on Bivariate Semi-continuous Mixed-effects Models with Application to Longitudinal Substance Use Data

inferred← citeshttps://doi.org/10.2333/jbhmk.43.113openalex-snapshot

Partial Observability Probit Models and Its Extension in Political Science:

inferred← citeshttps://doi.org/10.3390/e27040398openalex-snapshot

The Dynamics of Shannon Entropy in Analyzing Climate Variability for Modeling Temperature and Precipitation Uncertainty in Poland

inferred← citeshttps://doi.org/10.3390/e27111132openalex-snapshot

Spatial Flows of Information Entropy as Indicators of Climate Variability and Extremes

inferred← citeshttps://doi.org/10.3390/urbansci9100388openalex-snapshot

Classification of Unrealized Trips and Identification of Mobility Difficulties: Urban–Rural Differences in Japan

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