Merge pull request #94 from MercuryBench/patch-3

Update Bayes_estimation_ssm.ipynb

docs/source/notebooks/Bayes_estimation_ssm.ipynb

@@ -444,7 +444,7 @@
     "Again, a few choices are made for you by default: \n",
     "\n",
     "* A bootstrap filter is run for each $\\theta-$particle; this may be changed by setting option `fk_class` while instantiating `SMC2`; e.g. ``fk_class=ssm.GuidedPF`` will run instead a guided filter. \n",
-    "* Option `init_Nx` determines the **initial** number of $x-$particles; the algorithm automatically increases $N_x$ each time the acceptance rate drops below $10%$ (as specified through option ``ar_to_increase=0.1``. Set this this option to `0.` if you do not want to increase $N_x$ in the course of t he algorithm.\n",
+    "* Option `init_Nx` determines the **initial** number of $x-$particles; the algorithm automatically increases $N_x$ each time the acceptance rate drops below $10\%$ (as specified through option ``ar_to_increase=0.1``. Set this this option to `0.` if you do not want to increase $N_x$ in the course of t he algorithm.\n",
     "* The particle filters (in the $x-$dimension) are run with the default options of class `SMC`; e.g. resampling is set to `systematic` and so on; other options may be set by using option `smc_options`."
    ]
   },