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 | |
Results tagged with markov-chain
Search options answers only
not deleted
user 1659
A stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event.
2
votes
Small Markov chain Monte Carlo implementation
def mcmc(prior_dist, size=100000, burn=1000, thin=10, Z=3, N=10):
import random
from scipy.stats import binom
Don't import inside functions. It goes against python convention and is ineffici …
- 30.4k
8
votes
Accepted
Implementation of a Markov Chain
import random
def Markov(text_file):
Python convention is to name function lowercase_with_underscores. I'd also probably have this function take a string as input rather then a filename. That way t …
- 30.4k