Parameter inference is the process of using sample data to make educated guesses about the parameters of a population's probability distribution. This involves estimating values that summarize and describe the characteristics of a population, like its mean or variance, based on observed data. The focus is on how well these estimates represent the true values of the population parameters, guiding decision-making in statistics and data analysis.
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