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Related lectures (24)
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Elements of Statistics: Memorylessness and Stationary Processes
Covers memorylessness, stationary processes, MLE estimation, and random walks.
Spatial regression or spatial lag model
Explores spatial regression models, addressing spatial autocorrelation challenges and the concept of spatial lag models to correct biases and improve inference accuracy.
Quantitative Risk Management: Volatility Modeling
Covers volatility modeling in quantitative risk management, including ARMA, ARCH, GARCH models, and forecasting.
Applied Biostatistics: Bivariate Data Analysis
Explores bivariate data analysis in applied biostatistics, covering correlation, regression, model selection, and diagnostics.