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goodness of fit in pymc and plotting discrepancies

score 627 · Answer 1 · 2015-06-09 12:10:40

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goodness of fit in pymc and plotting discrepancies

627 views Asked by user2919597 At 09 June 2015 at 12:10

score 1147 · Answer 2 · 2015-06-12 08:17:45

Porting PyMC2 code to PyMC3 - hierarchical model for sports analytics

1.1k views Asked by Peadar Coyle At 12 June 2015 at 08:17

score 329 · Answer 3 · 2015-06-18 06:25:27

PyMC: summary statistics for a subset of variables

329 views Asked by Dave Kielpinski At 18 June 2015 at 06:25

score 1082 · Answer 4 · 2016-12-22 14:49:57

Python 3.5 PyMC - suppress the progress showing

1k views Asked by Cy Bu At 22 December 2016 at 14:49

score 129 · Answer 5 · 2017-01-07 22:20:01

pymc unexpected model output

129 views Asked by Nils Ziehn At 07 January 2017 at 22:20

score 235 · Answer 6 · 2014-11-18 11:48:50

Using pymc.potential to prevent evaluation of function at meaningless parameters values

235 views Asked by Jean-Francois Moulin At 18 November 2014 at 11:48

score 1133 · Answer 7 · 2014-11-19 23:52:43

non-linear regression with a parameter vector with pymc

1.1k views Asked by Andrew Nelson At 19 November 2014 at 23:52

score 1389 · Answer 8 · 2014-11-18 07:21:27

Error running PyMC - Stochastic value is outside its support, or it forbids its parents' current values

1.3k views Asked by slattering At 18 November 2014 at 07:21

score 568 · Answer 9 · 2014-12-01 03:49:16

pymc normal prior + normal likelihood does not converge correctly?

568 views Asked by hdragon At 01 December 2014 at 03:49

score 1429 · Answer 10 · 2013-12-08 20:56:45

PyMC: How can I describe a state space model?

1.4k views Asked by William Zhang At 08 December 2013 at 20:56

TechQA.

List Question

goodness of fit in pymc and plotting discrepancies

Porting PyMC2 code to PyMC3 - hierarchical model for sports analytics

PyMC: summary statistics for a subset of variables

Python 3.5 PyMC - suppress the progress showing

pymc unexpected model output

Using pymc.potential to prevent evaluation of function at meaningless parameters values

non-linear regression with a parameter vector with pymc

Error running PyMC - Stochastic value is outside its support, or it forbids its parents' current values

pymc normal prior + normal likelihood does not converge correctly?

PyMC: How can I describe a state space model?

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