An irregular discrete time series model to identify residuals with autocorrelation in astronomical light curves

Keyphrases

• Autocorrelation 100%
• Autoregressive Model 100%
• Light Curves 100%
• Time Series Model 100%
• Variable Stars 100%
• Extrasolar Planets 100%
• Maximum Likelihood Estimation 50%
• Astronomy 50%
• Temporal Structure 50%
• Monte Carlo Simulation 50%
• Dependence Structure 50%
• Physical Model 50%
• Parameter Estimation 50%
• Data Distribution 50%
• Time-series Observations 50%
• Finite Sample Performance 50%
• Supernovae 50%
• Temporal Dependence 50%
• Discrete Time Representation 50%
• Ergodic 50%
• Homoscedasticity 50%
• Estimation Procedures 50%

Mathematics

• Discrete Time 100%
• Residuals 100%
• Time Series Model 100%
• Autoregressive Model 100%
• Autocorrelation 100%
• Time Series 100%
• Time Series Analysis 100%
• Simulated Data 33%
• Real Data 33%
• Parametric 33%
• Maximum Likelihood 33%
• Dependence Structure 33%
• Gaussian Distribution 33%
• Parameter Estimation 33%
• Physical Model 33%
• Data Distribution 33%
• Monte Carlo Method 33%

INIS

• data 100%
• correlations 100%
• errors 100%
• curves 100%
• distribution 66%
• simulation 66%
• planets 66%
• variable stars 66%
• performance 33%
• maximum-likelihood fit 33%
• harmonics 33%
• astronomy 33%
• monte carlo method 33%
• supernovae 33%