Score-Driven Modeling of Spatio-Temporal Data

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A robust score-driven filter for multivariate time series

Cites Work

Unnamed Item
An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances
Estimation of spatial autoregressive panel data models with fixed effects
Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both \(n\) and \(T\) are large
A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data
Spillover dynamics for systemic risk measurement using spatial financial time series models
Refinements in maximum likelihood inference on spatial autocorrelation in panel data
The statistical analysis of fMRI data
Feasible invertibility conditions and maximum likelihood estimation for observation-driven models
Inference on higher-order spatial autoregressive models with increasingly many parameters
Robust methods for detecting spontaneous activations in fMRI data
Dynamic Models for Volatility and Heavy Tails
Estimating Panel Models With Internal and External Habit Formation
Hierarchical Spatio-Temporal Mapping of Disease Rates
Gaussian Markov Random Fields
Multivariate T-Distributions and Their Applications
Spatio-Spectral Mixed-Effects Model for Functional Magnetic Resonance Imaging Data
Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities
Filtering With Heavy Tails
A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis
Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions
Statistical Agent-Based Models for Discrete Spatio-Temporal Systems
Information-theoretic optimality of observation-driven time series models for continuous responses
Spatial Bayesian Variable Selection With Application to Functional Magnetic Resonance Imaging
Spatiotemporal Models for Region of Interest Analyses of Functional Neuroimaging Data
Robust Filtering
Detecting activation in fMRI data
A robust score-driven filter for multivariate time series

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