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Based on the Gaussian kernel density estimation, it is possible to update the PDF estimation upon receiving new data by using the same bandwidth. Estimate probability distribution parameters from sample data by fitting a probability distribution Evaluate the probability density function ( pdf ). This MATLAB function returns the probability density function (pdf) of the standard To evaluate the pdf at multiple values, specify x using an array. Degrees of freedom for the Student's t distribution, specified as a positive scalar value or an array of positive scalar values. To evaluate the pdf at multipleThis MATLAB function returns a probability density estimate, f, Then, ksdensity returns the estimated pdf corresponding to the original support with 2) (mathworks.com/matlabcentral/fileexchange/19121-probability-density-function-pdf-estimator-v3-2), MATLAB Central File Exchange. Retrieved October Define the input vector x to contain the values at which to calculate the pdf. x = [-2 -1 0 1 2];. Compute the pdf values for the normal distribution with

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