Supplemental material
Journal of the American Statistical Association
Volume 115, 2020 - Issue 530
Theory and Methods
Nonparametric Estimation of Copula Regression Models With Discrete Outcomes
Lu Yanga Amsterdam School of Economics, University of Amsterdam, Netherlands; Correspondence[email protected]
https://orcid.org/0000-0002-7538-6687
https://orcid.org/0000-0002-7538-6687, & Related Research Data
Copula-Based Models for Multivariate Discrete Response Data
Source:
Springer Berlin Heidelberg
Nonparametric estimation of copulas for time series
Source:
Incisive Media
Modeling Multivariate Count Data Using Copulas
Source:
Informa UK Limited
A Primer on Copulas for Count Data
Source:
Cambridge University Press (CUP)
Generalized Linear Models
Source:
Springer US
Multivariate Probit Analysis
Source:
Springer Berlin Heidelberg
Markov Chain Monte Carlo Analysis of Correlated Count Data
Source:
Informa UK Limited
Joint Regression Analysis of Correlated Data Using Gaussian Copulas
Source:
Wiley-Blackwell
MULTIVARIATE LOGIT COPULA MODEL
Source:
Wiley
A Primer on Copulas for Count Data
Source:
Cambridge University Press (CUP)
A Bayesian multivariate latent t-regression model for assessing the association between corticosteroid and cranial radiation exposures and cardiometabolic complications in survivors of childhood acute lymphoblastic leukemia: a PETALE study
Source:
Springer Science and Business Media LLC
Understanding Relationships Using Copulas
Source:
Informa UK Limited
Copula in a multivariate mixed discrete–continuous model
Source:
Elsevier BV
Nonparametric Estimation of Copula Regression Models With Discrete Outcomes
Source:
Taylor & Francis
An Effective Bandwidth Selector for Local Least Squares Regression
Source:
Informa UK Limited
A generalized beta copula with applications in modeling multivariate long-tailed data
Source:
Elsevier BV
Parametric families of multivariate distributions with given margins
Source:
Elsevier BV
Predicting dependent binary outcomes through logistic regressions and meta-elliptical copulas
Source:
Institute of Mathematical Statistics
Nonparametric Identification of Copula Structures
Source:
Informa UK Limited
Bandwidth Selection for Kernel Density Estimation
Source:
The Institute of Mathematical Statistics
An Effective Bandwidth Selector for Local Least Squares Regression
Source:
Informa UK Limited
Constraints on concordance measures in bivariate discrete data
Source:
Elsevier Inc.
Multivariate negative binomial models for insurance claim counts
Source:
Elsevier BV
Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
Source:
Econometric Society
The multivariate Poisson-log normal distribution
Source:
Oxford University Press (OUP)
Improved kernel estimation of copulas: Weak convergence and goodness-of-fit testing
Source:
Institute of Mathematical Statistics
Actuarial Applications of Multivariate Two-Part Regression Models
Source:
Cambridge University Press (CUP)
Bayesian multivariate Poisson models for insurance ratemaking
Source:
Elsevier BV
A General Definition of Residuals
Source:
Wiley
Dependence Modeling with Copulas
Source:
Chapman and Hall/CRC
Gaussian copula distributions for mixed data, with application in discrimination
Source:
Informa UK Limited
Pair Copula Constructions for Multivariate Discrete Data
Source:
Informa UK Limited
Seemingly Unrelated Negative Binomial Regression
Source:
Wiley-Blackwell
Linking provided by
