Merge branch 'master' into gp-module

Author: bwengals

docs/source/api/distributions/continuous.rst

@@ -7,23 +7,28 @@ Continuous
 
    Uniform
    Flat
+   HalfFlat
    Normal
+   HalfNormal
+   SkewNormal
    Beta
    Exponential
    Laplace
    StudentT
+   StudentTpos
    Cauchy
    HalfCauchy
    Gamma
    Weibull
-   StudentTpos
    Lognormal
    ChiSquared
-   HalfNormal
    Wald
    Pareto
    InverseGamma
    ExGaussian
+   VonMises
+   Triangular
+   Gumbel
 
 .. automodule:: pymc3.distributions.continuous
    :members:

docs/source/api/distributions/discrete.rst

@@ -6,15 +6,18 @@ Discrete
 .. autosummary::
 
    Binomial
+   ZeroInflatedBinomial
    BetaBinomial
    Bernoulli
    Poisson
+   ZeroInflatedPoisson
    NegativeBinomial
-   ConstantDist
    ZeroInflatedPoisson
    DiscreteUniform
    Geometric
    Categorical
+   DiscreteWeibull
+   Constant
 
 .. automodule:: pymc3.distributions.discrete
    :members:

docs/source/notebooks/AR.ipynb

@@ -160,7 +160,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We follow Kruschke by making the prior for $\\mu$ exponentially distributed with a mean of 30; this allocates high prior probability over the regions of the parameter that describe the range from normal to heavy-tailed data under the Student-T distribution."
+    "We follow Kruschke by making the prior for $\\nu$ exponentially distributed with a mean of 30; this allocates high prior probability over the regions of the parameter that describe the range from normal to heavy-tailed data under the Student-T distribution."
    ]
   },
   {