On generating multivariate Poisson data in management science applications
From MaRDI portal
Publication:5414499
DOI10.1002/asmb.901OpenAlexW2127083809MaRDI QIDQ5414499
Publication date: 6 May 2014
Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/asmb.901
Related Items
Regional air quality conformity in transportation networks with stochastic dependencies: a theoretical copula-based model ⋮ Multivariate Poisson interpoint distances ⋮ An efficient and robust variable selection method for longitudinal generalized linear models ⋮ SUPERPOSITIONED STATIONARY COUNT TIME SERIES ⋮ Simultaneous generation of multivariate mixed data with Poisson and normal marginals ⋮ Communication in Statistics-Theory and methods improved GQL estimation method for the generalised BINMA(1) model ⋮ Robust penalized empirical likelihood in high dimensional longitudinal data analysis ⋮ Joint Gene Network Construction by Single-Cell RNA Sequencing Data ⋮ A GQL estimation approach for analysing non-stationary over-dispersed BINAR(1) time series ⋮ The family of the bivariate integer-valued autoregressive process (BINAR(1)) with Poisson–Lindley (PL) innovations ⋮ Analyzing the full BINMA time series process using a robust GQL approach ⋮ A non‐stationary bivariate INAR(1) process with a simple cross‐dependence: Estimation with some properties ⋮ On computing the multivariate Poisson probability distribution ⋮ A bivariate geometric distribution via conditional specification: properties and applications ⋮ Estimating the parameters of a BINMA Poisson model for a non-stationary bivariate time series ⋮ A simulation framework for correlated count data of features subsets in high-throughput sequencing or proteomics experiments ⋮ Modelling a non-stationary BINAR(1) Poisson process ⋮ Concurrent generation of multivariate mixed data with variables of dissimilar types ⋮ The Combined Model: A Tool for Simulating Correlated Counts with Overdispersion ⋮ Correlated endpoints: simulation, modeling, and extreme correlations ⋮ A POISSON-POISSON MODEL TO ANALYZE CONGESTION DATA ⋮ Estimation for a marginal generalized single-index longitudinal model ⋮ Effects of associated kernels in nonparametric multiple regressions ⋮ Inferential methods for an unconstrained nonstationary BINMA time series process with Poisson innovations ⋮ A doubly-inflated Poisson regression for correlated count data ⋮ Mixed data generation packages and related computational tools in R
Cites Work
- An introduction to copulas.
- Bivariate distributions with given marginals
- Consistent estimation of mixture complexity.
- A pricing model for clearing end-of-season retail inventory
- Initialization for NORTA: Generation of Random Vectors with Specified Marginals and Correlations
- Feature Article: Optimization for simulation: Theory vs. Practice
- Efficient Correlation Matching for Fitting Discrete Multivariate Distributions with Arbitrary Marginals and Normal-Copula Dependence
- Order-Based Backorders and Their Implications in Multi-Item Inventory Systems
- Modeling Daily Arrivals to a Telephone Call Center
- A Simple Multivariate Test for One-Sided Alternatives
- An EM algorithm for multivariate Poisson distribution and related models
- Approximating the Equilibrium Behavior of Multi-Server Loss Systems
- Note—Effects of Centralization on Expected Costs in a Multi-Location Newsboy Problem
- Multivariate Batch Means and Control Variates
- A Simulation Study of Predictable Due-Dates
- Efficient Simulation of Multivariate Binomial and Poisson Distributions
- A Light-Traffic Approximation for Single-Class Departure Processes from Multi-Class Queues
- Simulating multivariate distributions with specific correlations
- Limit theorems for multivariate discrete distributions.
