time series analysis
Time series analysis is a statistical technique that involves understanding and predicting patterns, trends, and relationships in a set of data points collected over a specific period, typically organized in chronological order, to make informed decisions or forecasts about future behavior.
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Related Concepts (29)
- arima models
- autocorrelation
- box-jenkins methodology
- correlation and causation
- correlation vs causation
- data analysis
- data mining
- decomposition methods
- dynamic regression models
- exponential smoothing
- forecasting
- fourier analysis
- holt-winters method
- intervention analysis
- long-term trends
- lorenz system
- lyapunov exponent
- lyapunov exponents
- nonlinear time series analysis
- recurrent neural networks (rnn)
- seasonal variation
- state space models
- stationarity
- stochastic prediction
- time series clustering
- time series regression
- time series visualization
- trend analysis
- volatility modeling
Similar Concepts
- cluster analysis of time series data
- correlation in time series analysis
- deterministic time series analysis
- fractal time series analysis
- historical analysis
- multivariate analysis
- multivariate time series analysis
- nonlinear time series modeling techniques
- regression analysis
- sequential data analysis
- statistical analysis
- time series forecasting
- time series models
- time series prediction
- time-domain analysis