Forecasting Irregularly Sampled Time Series using Graphs.
Vijaya Krishna YalavarthiKiran MadusudananRandolf ScholzNourhan AhmedJohannes BurchertShayan JawedStefan BornLars Schmidt-ThiemePublished in: CoRR (2023)
Keyphrases
- weather forecasting
- forecasting accuracy
- financial time series
- uniform random
- arma model
- exponential smoothing
- hybrid model
- box jenkins
- surprising patterns
- dynamic time warping
- arima model
- short term
- chaotic time series
- forecasting model
- graph matching
- neural network
- stock market
- turning points
- autoregressive
- support vector regression
- phase space reconstruction
- graph structure
- graph representation
- neural network model
- mackey glass
- bp neural network
- demand forecasting
- moving average
- graph databases
- graph clustering
- graph mining
- medium term
- graph model
- graph theoretic
- complex structures
- autoregressive integrated moving average