lognormal distribution link: https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.lognorm.html

Problem 3 3.1 The Epanechnikov kernel is defined by 3 K(u) = 2(1 uz) for |u| 51 Perform Epanechnikov kernel density estimation on 1,000 simulated samples from a |_ognormal distribution with s=1 and random state 636. Use a bandwidth of 2.0. Plot the density estimate over the support of the Iognormal distribution. (You can use 2 times the maximum of your samples as an upper bound for the support.) In[ ]: 3.2 Test whether the estimate integrates to unity over the support of the Iognormal distribution. In[ ]: 3.3 Explain the results of your integration