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  2. File:High School Probability and Statistics (Basic).pdf

    en.wikipedia.org/wiki/File:High_School...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  3. Public Sector Credit Framework - Wikipedia

    en.wikipedia.org/wiki/Public_Sector_Credit_Framework

    The proportion of simulation trials surpassing the default point represents the default probability for a given year. The simulation is typically created in an Excel worksheet. Each row of the worksheet represents a different user specified series. Series may contain random numbers, macroeconomic variables, revenues, expenditures and debt levels.

  4. Category:Probabilistic models - Wikipedia

    en.wikipedia.org/wiki/Category:Probabilistic_models

    Download as PDF; Printable version; ... Pages in category "Probabilistic models" ... Factored language model; Fast probability integration;

  5. Risk-adjusted net present value - Wikipedia

    en.wikipedia.org/wiki/Risk-adjusted_net_present...

    In the language of probability theory, the rNPV is the expected value. Note that this in contrast to the more general valuation approach, where risk is instead incorporated by adding a risk premium percentage to the discount rate, i.e. as opposed to weighting the cash flows.

  6. Graphical model - Wikipedia

    en.wikipedia.org/wiki/Graphical_model

    A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional dependence structure between random variables. Graphical models are commonly used in probability theory, statistics—particularly Bayesian statistics—and machine learning.

  7. Probability distribution - Wikipedia

    en.wikipedia.org/wiki/Probability_distribution

    A discrete probability distribution is the probability distribution of a random variable that can take on only a countable number of values [15] (almost surely) [16] which means that the probability of any event can be expressed as a (finite or countably infinite) sum: = (=), where is a countable set with () =.

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