Extending time-series models for irregular observational gaps with a moving average structure for astronomical sequences

Mathematics

• Moving Average 100%
• Maximum Likelihood 100%
• Time Series Model 100%
• Moving Average Model 100%
• Mean Square Error 50%
• Stochastics 50%
• Bootstrap Method 50%
• Gaussian Distribution 50%
• Likelihood Function 50%
• Linear Predictor 50%
• Parameter Estimation 50%
• Autoregressive Moving Average Model 50%
• Error Distribution 50%
• Stationary Time Series 50%
• Generalized Error 50%
• Autocorrelation 50%
• Monte Carlo Method 50%

INIS

• errors 100%
• algorithms 66%
• performance 66%
• maximum-likelihood fit 66%
• curves 66%
• comparative evaluations 33%
• surveys 33%
• data 33%
• space 33%
• distribution 33%
• correlations 33%
• implementation 33%
• modeling 33%
• stochastic processes 33%
• monte carlo method 33%
• variable stars 33%

Keyphrases

• Kalman Algorithm 100%
• Observational Gaps 100%