Hi @jstac , this PR does two jobs in lecture exchangeable:
adds . at the end of following sentences
You can read about exchangeability `here <https://en.wikipedia.org/wiki/Exchangeable_random_variables>`__
Outcomes depend on a peculiar property of likelihood ratio processes that are discussed in `this lecture <https://python-advanced.quantecon.org/additive_functionals.html>`__
adds missing ) in the following sentences
where we regard :math:`\pi` as the decision maker's **subjective probability** (also called a **personal probability**. -->> where we regard :math:`\pi` as the decision maker's **subjective probability** (also called a **personal probability**).
(i.e., a Beta distribution with parameters :math:`F_a=1, F_b=1`, while :math:`g` is a Beta distribution with the default parameter values :math:`G_a=3, G_b=1.2`. -->> (i.e., a Beta distribution with parameters :math:`F_a=1, F_b=1`), while :math:`g` is a Beta distribution with the default parameter values :math:`G_a=3, G_b=1.2`.
Hi @jstac , this PR does two jobs in lecture exchangeable:
.
at the end of following sentencesYou can read about exchangeability `here <https://en.wikipedia.org/wiki/Exchangeable_random_variables>`__
Outcomes depend on a peculiar property of likelihood ratio processes that are discussed in `this lecture <https://python-advanced.quantecon.org/additive_functionals.html>`__
)
in the following sentenceswhere we regard :math:`\pi` as the decision maker's **subjective probability** (also called a **personal probability**.
-->>where we regard :math:`\pi` as the decision maker's **subjective probability** (also called a **personal probability**).
(i.e., a Beta distribution with parameters :math:`F_a=1, F_b=1`, while :math:`g` is a Beta distribution with the default parameter values :math:`G_a=3, G_b=1.2`.
-->>(i.e., a Beta distribution with parameters :math:`F_a=1, F_b=1`), while :math:`g` is a Beta distribution with the default parameter values :math:`G_a=3, G_b=1.2`.