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Numerical approximation of multiple integral

asked 2017-11-22 21:05:37 +0200

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I want to numerical integrate:

$$\int_{-\infty}^{A_1} \int_{-\infty}^{A_2-x_1} p(x_1)p(x_2)dx_1dx_2 ,$$ where $p(x_i)$ is a random variable that has a normal distribution with mean $\mu_i$ and standard deviation $\sigma_i$.

I faced with several problems:

  1. I can't integrate even this simply integral:

import scipy.stats as st

integrate(st.norm.pdf(x), x)

The result is error: TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

  1. How to integrate multiple integrals with different $A_i$.
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answered 2017-11-23 16:28:19 +0200

mforets gravatar image

updated 2017-11-23 16:40:57 +0200

For numerical integrals in Sage, use numerical_integral. The function integrate is more appropriate for symbolic integration.

With your example:

sage: import scipy.stats as st
sage: numerical_integral(lambda x : st.norm.pdf(x), (-oo, 0.5))
(0.6914624612740132, 1.580169726891987e-09)

The first component is the value of the integral, and the second component is an error estimate.

As far as i'm aware, Sage does not expose a multi-dimensional numerical integration function. This can be worked around by a nested call to numerical_integral, but it will not be as efficient as it could be for some applications. There are more examples in Mathematical Computation with SageMath, Ch. 14, page 315.

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Asked: 2017-11-22 21:05:37 +0200

Seen: 815 times

Last updated: Nov 23 '17