--- id: uncertainty aliases: [] tags: - authorship/original - destiny/permanent - status/incomplete - topic/risk - type/encyclopedia title: Uncertainty dg-publish: true --- # Uncertainty %% ## TALK ## TODO %% The term "uncertainty" refers to the possibility of multiple outcomes. ## Information In statistical inference and [[strategy]], **information** is the resolution of uncertainty. ### Value of Information > [!quote] > **Value of information** (VOI or VoI) > is the amount a decision maker would be willing to pay > for information prior to making a decision. Suppose information $I$ is available to a decision maker. Consider these two scenarios: 1. the decision maker does not purchase the information and makes \$9,000. $P(D)=9000$ 2. the decision maker purchases the information and makes \$10,000 $P(D)|I=10000$ The monetary value of $I$ is the difference between the payout without ($P(D)$) and with ($P(D)|I$) the information $I$. $$ \begin{align*} V(I) &= P(D)|I - P(D) \\ &= (10000) - (9000) \\ &= 1000 \end{align*} $$ When forecasting, the payout of decisions is unknown, thus $$ \mathbb{E}\left[V(I)\right] = \mathbb{E}\left[P(D)\right] - \mathbb{E}\left[P(D)|I\right] $$ ### Expected Value of Perfect Information Expected value of perfect information (EVPI) is the price that one would be willing to pay in order to gain access to perfect information. > [!info] Perfect Information > Perfect information is hypothetical information > that would eliminate all uncertainty. The perceived _value_ of decreased uncertainty must be weighed against its _cost_. ## Types of Uncertainty ### Aleatory Uncertainty > [!info] Also Known As > * statistical uncertainty > * stochastic uncertainty > * random error Aleatory uncertainty is inherent randomness in data that can't be explained away. ### Epistemic Uncertainty > [!info] Also Known As > * systematic uncertainty > * model uncertainty Epistemic uncertainty is that which arises from a lack of knowledge, and can be eliminated with access to [[#information]].