Latent level correlation modeling of multivariate discrete-valued financial time series
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Publication:6616398
DOI10.1214/24-aoas1890MaRDI QIDQ6616398
Nalini Ravishanker, Jian Zou, Yanzhao Wang, Haitao Liu
Publication date: 9 October 2024
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Bayesian hierarchical modelintegrated nested Laplace approximation (INLA)correlated temporal effectsintraday multivariate financial count datalevel correlation model (LCM)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Understanding predictive information criteria for Bayesian models
- Direct fitting of dynamic models using integrated nested Laplace approximations -- INLA
- Sequential Bayesian analysis of multivariate count data
- Time-varying extreme value dependence with application to leading European stock markets
- Hierarchical dynamic models for multivariate times series of counts
- Penalising model component complexity: a principled, practical approach to constructing priors
- Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions
- Finite mixtures of multivariate Poisson distributions with application
- Bayesian outbreak detection in the presence of reporting delays
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- A bivariate integer-valued long-memory model for high-frequency financial count data
- STATIONARY DISCRETE AUTOREGRESSIVE-MOVING AVERAGE TIME SERIES GENERATED BY MIXTURES
- Integer-Valued GARCH Process
- Dynamic Generalized Linear Models and Bayesian Forecasting
- Double Exponential Families and Their Use in Generalized Linear Regression
- Multi‐stage multivariate modeling of temporal patterns in prescription counts for competing drugs in a therapeutic category
- Gaussian Markov Random Fields
- FIRST-ORDER INTEGER-VALUED AUTOREGRESSIVE (INAR(1)) PROCESS
- The multivariate Poisson-log normal distribution
- On Estimation of the Bivariate Poisson INAR Process
- Bayesian Computation in Dynamic Latent Factor Models
- Projecting the future burden of cancer: Bayesian age–period–cohort analysis with integrated nested Laplace approximations
- Dynamic Factor Models for Multivariate Count Data: An Application to Stock-Market Trading Activity
- A NON‐GAUSSIAN FAMILY OF STATE‐SPACE MODELS WITH EXACT MARGINAL LIKELIHOOD
- Similarity-based clustering for patterns of extreme values
- Bayesian modeling of multivariate time series of counts
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