Deep Latent Factor Model for Spatio-Temporal Forecasting
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Publication:6637473
DOI10.1080/00401706.2024.2322661MaRDI QIDQ6637473
Hee-Young Kim, Unnamed Author, Unnamed Author
Publication date: 13 November 2024
Published in: Technometrics (Search for Journal in Brave)
Cites Work
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- A general science-based framework for dynamical spatio-temporal models
- Generalized spatial dynamic factor models
- An introduction to variational methods for graphical models
- A case study competition among methods for analyzing large spatial data
- Deep learning algorithm for data-driven simulation of noisy dynamical system
- Modeling US housing prices by spatial dynamic structural equation models
- Spatial dynamic factor analysis
- Interpolation of spatial data – A stochastic or a deterministic problem?
- Bayesian spatio-temporal models based on discrete convolutions
- Nonseparable, Stationary Covariance Functions for Space–Time Data
- A dimension-reduced approach to space-time Kalman filtering
- Spatio-Temporal Models with Space-Time Interaction and Their Applications to Air Pollution Data
- An Ensemble Kalman Filter and Smoother for Satellite Data Assimilation
- Stochastic Partial Differential Equation Based Modelling of Large Space–Time Data Sets
- Polynomial nonlinear spatio‐temporal integro‐difference equation models
- Spatio‐temporal smoothing and EM estimation for massive remote‐sensing data sets
- Statistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes
- Modern perspectives on statistics for spatio-temporal data
- Resolution Adaptive Fixed Rank Kriging
- Space-time modelling of coupled spatiotemporal environmental variables
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