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Algorithms generating large sets of random numbers to simulate real-world, usually optical systems.

0 votes
1 answer
115 views

MSE & Variance of Monte Carlo Estimator

I am trying to prove the equality of $$\rm MSE(\langle I\rangle)=Var(\langle I \rangle)+Bias(\langle I \rangle)^2$$ but obviously I got something wrong as they don't equal in my calculation: So here i …
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1 vote

Variance of estimator (Monte Carlo Integration)

Quoting from "Advanced global illumination" book: The Monte Carlo estimator is defined as: And its variance according to the above definition(continuous random variable) would be: Edit: An e …
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  • 750
2 votes
0 answers
162 views

Picking multiple light sources from a mixture densities

According to Peter Shirely paper, one pdf(probability density function) can be defined for the union of the light sources and pick only one using a random number from this density: $$p(x) = \alpha_1 …
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