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This lecture covers key concepts in statistics, starting with the demonstration of memorylessness in the exponential distribution. It then delves into the analysis of stationary processes, showcasing the wide sense stationary condition and ergodicity. Finally, the Maximum Likelihood Estimation method is explained through practical examples involving single-photon detectors and time-to-digital converters.
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