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visits member for 2 years, 2 months
seen Aug 8 at 20:13

Jul
2
awarded  Curious
Jun
6
awarded  Tumbleweed
Nov
23
accepted Finding maximum of a function with an ellipse constraint
Nov
19
asked Finding maximum of a function with an ellipse constraint
Oct
28
accepted Projection matrix that sum to identity are orthogonal
Oct
28
comment Projection matrix that sum to identity are orthogonal
Thank you all, very very helpful.
Oct
28
asked Projection matrix that sum to identity are orthogonal
Oct
26
awarded  Yearling
Sep
21
accepted Using Central Limit Theorem when we NON-IID sample
Sep
20
asked Using Central Limit Theorem when we NON-IID sample
Sep
19
accepted Counter-example for interchanging integral and limit
Sep
18
comment Counter-example for interchanging integral and limit
I was thinking the same, but it's just weird that when n goes to infinity, how that integral should be calculated. Thanks very much for your help.
Sep
18
comment Counter-example for interchanging integral and limit
Assume $\mu$ is lebesgue measure. Could you explain how you calculate the integral of $\int f_n d\mu$ ?
Sep
18
revised Counter-example for interchanging integral and limit
added 135 characters in body
Sep
18
asked Counter-example for interchanging integral and limit
Sep
2
comment Lebesgue Integral calculation
Hi @Zev, thanks so much for your answer. I thought I should do for all n (from 1 to $\infty$) but YES, you are right, we are only looking at $X_n$. Thanks so much again.
Sep
2
accepted Lebesgue Integral calculation
Sep
2
asked Lebesgue Integral calculation
Aug
26
answered Sherman–Morrison–Woodbury formula question
Aug
22
comment Sherman–Morrison–Woodbury formula question
Thanks for the answer @Kirill. I'm working on bayesian process that involves inversion of big covariance matrices. This inversion causes major computational issue. I'm decomposing the covariance matrix and its inverse so that every time that a parameter in my model gets updates, I can only invert the part that gets updated rather than inverting the whole matrix. The solve(A,X) part was great. Thanks again.