A triangular kernel is a type of kernel function used in kernel density estimation that has a linear shape, resembling a triangle. It assigns weights to data points based on their distance from a central point, decreasing linearly from the peak to the edges, which allows for smoother estimates of probability density functions. This kernel is particularly effective for capturing local variations in data while being simple and computationally efficient.
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