Question: fTODO : Examine the 4 plots above. Each plot contains 1000 Metropolis-Hastongs samples, by considering proposal distributions with different variances. What do you observe? Why

$\fTODO : Examine the 4 plots above. Each plot contains 1000$ Metropolis-Hastongs samples, by considering proposal distributions with different variances. What do you

observe? Why do samples stay clustered close to each-other for small value

of o?? . Why does the MH algorithm have so much fewer

\fTODO : Examine the 4 plots above. Each plot contains 1000 Metropolis-Hastongs samples, by considering proposal distributions with different variances. What do you observe? Why do samples stay clustered close to each-other for small value of o?? . Why does the MH algorithm have so much fewer moves when the value of o-? . Which value of of would you choose out of the above and why

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