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My background is computer science. I am fairly new to monte carlo sampling methods and, although I understand the math, I have hard time coming up with intuitive examples for importance sampling. More precisely, could someone provide examples of: - an original distribution one cannot sample from but one can estimate - an importance distribution which can be sampled from and adequate for this original distribution.

Thanks in advance!

  1. an original distribution one cannot sample from but one can estimate
  2. an importance distribution which can be sampled from and adequate for this original distribution.

My background is computer science. I am fairly new to monte carlo sampling methods and, although I understand the math, I have hard time coming up with intuitive examples for importance sampling. More precisely, could someone provide examples of: - an original distribution one cannot sample from but one can estimate - an importance distribution which can be sampled from and adequate for this original distribution.

Thanks in advance!

My background is computer science. I am fairly new to monte carlo sampling methods and, although I understand the math, I have hard time coming up with intuitive examples for importance sampling. More precisely, could someone provide examples of:

  1. an original distribution one cannot sample from but one can estimate
  2. an importance distribution which can be sampled from and adequate for this original distribution.
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James
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Intuitive examples of importance sampling

My background is computer science. I am fairly new to monte carlo sampling methods and, although I understand the math, I have hard time coming up with intuitive examples for importance sampling. More precisely, could someone provide examples of: - an original distribution one cannot sample from but one can estimate - an importance distribution which can be sampled from and adequate for this original distribution.

Thanks in advance!