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dflemin3
/
approxposterior
A Python package for approximate Bayesian inference and optimization using Gaussian processes
https://dflemin3.github.io/approxposterior/
MIT License
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paper.bib: fixes for pandoc; revert key
#23
jedbrown
closed
6 years ago
0
Checking GP predictive accuracy on-the-fly
#22
dflemin3
opened
6 years ago
2
Installation Issues
#21
dmdu
closed
6 years ago
12
Fitting for white noise
#20
dflemin3
closed
5 years ago
1
Can approxposterior derive posterior distributions for parameters that aren't initial conditions?
#19
dflemin3
closed
5 years ago
2
Expose GP to user
#18
dflemin3
closed
5 years ago
3
log prior called twice
#17
dflemin3
closed
6 years ago
1
refactor burn-in estimation
#16
dflemin3
closed
5 years ago
3
iburn estimate can fail
#15
dflemin3
closed
6 years ago
2
user-defined likelihood function example Jupyter notebook
#14
dflemin3
closed
5 years ago
1
more tests!
#13
dflemin3
closed
5 years ago
0
user-defined emcee samplers
#12
dflemin3
closed
5 years ago
1
allow args, kwargs in likelihood wrapper functions
#11
dflemin3
closed
6 years ago
1
-inf likelihood in allowable regions of parameter space
#10
dflemin3
closed
5 years ago
1
added jvp to paper
#9
dflemin3
closed
6 years ago
0
added JOSS paper
#8
dflemin3
closed
6 years ago
0
Dev->master doc upgrades
#7
dflemin3
closed
6 years ago
0
fleshing out docs, making docs page
#6
dflemin3
closed
6 years ago
0
small change to test travis
#5
dflemin3
closed
6 years ago
0
trying to make travis work
#4
dflemin3
closed
6 years ago
0
dev -> master
#3
dflemin3
closed
6 years ago
0
Dev -> master
#2
dflemin3
closed
6 years ago
0
Dev -> master
#1
dflemin3
closed
6 years ago
0
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