Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
In mathematics, Brownian motion is described by the Wiener process; a continuous-time stochastic process named in honor of Norbert Wiener.
1
vote
2
answers
3k
views
How to fix my Ornstein-Uhlenbeck parameter MLE in Python?
I am trying to fit time-series data into an Ornstein-Uhlenbeck process.
Here is my code so far:
# source for computation: https://arxiv.org/pdf/1411.5062.pdf
import math
from math import sqrt, exp, lo …
1
vote
Accepted
How to fix my Ornstein-Uhlenbeck parameter MLE in Python?
Adding on to Japser's answer, to address the division by 0, we can set a very small value for the lower bound for mu and sigma (e.g. 1x10^-5). To see the algorithm in action, see this