Merge pull request #55 from CUQI-DTU/sprint12_fix_math_render_Gibbs

Fix minor math rendering issue in Gibbs notebook

Author: nabriis

training/Exercise06_Gibbs.ipynb

@@ -486,7 +486,7 @@
    "source": [
     "#### ★ Try yourself (optional):  \n",
     "\n",
-    "Try evaluting the un-normalized log probability density (logd) of the posterior distribution $p(\\mathbf{x}, d, s \\mid \\mathbf{y}_\\mathrm{data})$ at some points $\\mathbf{x}^*\\in \\R^n$, $d^*\\in \\R_+$ and $s^*\\in \\R_+$.\n",
+    "Try evaluting the un-normalized log probability density (logd) of the posterior distribution $p(\\mathbf{x}, d, s \\mid \\mathbf{y}_\\mathrm{data})$ at some points $\\mathbf{x}^*\\in \\mathbb{R}^n$, $d^*\\in \\mathbb{R}_+$ and $s^*\\in \\mathbb{R}_+$.\n",
     "\n",
     "Hint: The `logd` method of the `Joint` distribution takes comma-separated keyword arguments for the conditioning variables. For example, `logd(x=xstar, d=dstar, s=sstar)`.\n",
     "\n",
@@ -696,7 +696,7 @@
     "\n",
     "\n",
     "\\begin{align*}\n",
-    "\\mathbf{x} \\sim \\text{Laplace\\_diff}(\\mathbf{0}, d^{-1}),\n",
+    "\\mathbf{x} \\sim \\text{Laplace-diff}(\\mathbf{0}, d^{-1}),\n",
     "\\end{align*}\n",
     "\n",
     "which translates to the assumption that $x_i-x_{i-1} \\sim \\mathrm{Laplace}(0, d^{-1})$ for $i=1, \\ldots, n$.\n",