Non-parametric estimation

Non-parametric estimation is a statistical approach used to analyze data without assuming a specific underlying distribution or model. Instead of fitting data to a predefined formula, it lets the data speak for itself, capturing patterns directly from the observations. This flexibility makes it useful when the true data structure is unknown or complex. For example, estimating the shape of a distribution or the trend in data without assuming any particular pattern. It provides more adaptable insights, especially with diverse or irregular data, though it may require larger datasets to produce reliable results.