Sequential Bayesian analysis of multivariate count data
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Publication:1631552
DOI10.1214/17-BA1054zbMath1407.62308arXiv1602.01445OpenAlexW2962759810MaRDI QIDQ1631552
Nick Polson, Tevfik Aktekin, Refik Soyer
Publication date: 6 December 2018
Published in: Bayesian Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1602.01445
Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Bayesian inference (62F15) Sequential statistical analysis (62L10)
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Uses Software
Cites Work
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- Assessment of mortgage default risk via Bayesian state space models
- Particle learning and smoothing
- Computationally convenient distributional assumptions for common-value auctions
- Sequential Bayesian analysis of multivariate count data
- Hierarchical dynamic models for multivariate times series of counts
- Mixture modeling for marked Poisson processes
- Nonparametric Bayesian segmentation of a multivariate inhomogeneous space-time Poisson process
- Particle learning for general mixtures
- Approximate Bayesian Estimation for Multivariate Count Time Series Models
- Auxiliary mixture sampling for parameter-driven models of time series of counts with applications to state space modelling
- On composite likelihood estimation of a multivariate INAR(1) model
- Call center arrival modeling: A Bayesian state-space approach
- Bayesian analysis of queues with impatient customers: Applications to call centers
- Practical Filtering with Sequential Parameter Learning
- Bayesian Forecasting of an Inhomogeneous Poisson Process With Applications to Call Center Data
- Multivariate distributions for the life lengths of components of a system sharing a common environment
- A regression model for time series of counts
- A state space model for multivariate longitudinal count data
- DATA AUGMENTATION AND DYNAMIC LINEAR MODELS
- On Gibbs sampling for state space models
- Analysis of low count time series data by poisson autoregression
- FIRST-ORDER INTEGER-VALUED AUTOREGRESSIVE (INAR(1)) PROCESS
- Time Series Analysis of Non-Gaussian Observations Based on State Space Models from Both Classical and Bayesian Perspectives
- A bivariate INAR(1) process with application
- Autoregressive Mixture Models for Dynamic Spatial Poisson Processes: Application to Tracking Intensity of Violent Crime
- A NON‐GAUSSIAN FAMILY OF STATE‐SPACE MODELS WITH EXACT MARGINAL LIKELIHOOD
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