![]() ![]() Topics related to spatial statistics include the analysis of spatial point patterns, Gaussian processes with spatial correlation functions and prediction/kriging, and spatial autoregressive models. Topics related to time-series analysis include autocorrelation, classical time-series models, state-space models, and hidden Markov models. The first part of the course focuses on statistical analysis of time series and spatial data. This course is designed to extend foundational knowledge in probability, statistical inference, and regression analysis to settings involving complex data structures.
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