In the context of kernel density estimation, 'h' represents the bandwidth, a crucial parameter that determines the smoothness of the estimated density function. The value of 'h' affects how closely the kernel function follows the data points, influencing the balance between bias and variance in the estimation process. A smaller bandwidth leads to a more sensitive estimate that captures finer details, while a larger bandwidth results in a smoother estimate that may overlook important features.
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