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MC Integration
为了计算积分 d\mathbf%20x)
我们通常采用MC模拟:
- 1.计算区域的volume：
- 2.近似：
根据大数律有
并且由中心极限定理有
其中))
另外，注意到
则可以直接利用上一节的结论。
## estimate pi
##
## I = \int H(x, y)dxdy
## where H(x, y) = 1 when x^2+y^2 <= 1;
## otherwise H(x, y) = 0
## volume
V = 4
n = 100000
x = runif(n, -1, 1)
y = runif(n, -1, 1)
H = x^2+y^2
H[H<=1] = 1
H[H>1] = 0
I = V* mean(H)
cat("I = ", I, "\n")
## n = 100, I = 2.96
## n = 1000, I = 3.22
## n = 10000, I = 3.1536
## n = 100000, I = 3.14504
Note: Unless otherwise stated, the algorithms and the corresponding screenshots are adopted from Robert and Casella (2013).
The following Julia program can be used to do polar simulation.
using Statistics
function polarsim(x::Array)
while true
phi1 = rand()*2*pi
phi2 = rand()*pi - pi/2
u = rand()
xdotxi = x[1]*cos(phi1) + x[2]*sin(phi1)*cos(phi2) + x[3]*sin(phi1)*sin(phi2)
if u <= exp(xdotxi - sum(x.^2)/2)
return(randn() + xdotxi)
end
end
end
# approximate E^pi
function Epi(m, x = [0.1, 1.2, -0.7])
rhos = ones(m)
for i = 1:m
rhos[i] = 1/(2*polarsim(x)^2+3)
end
return(mean(rhos))
end
# example
Epi(10)
Last modified 5yr ago