bayesian network

  1. M

    Hybrid Network Inference

    I'm trying to figure out how to calculate the result mean and variance for a simple hybrid bayesian network comprised of 2 variables (to keep things simple for now). The nodes are B (discrete) and C (continuous); C being a child node of B. The distribution of B is: B=stable 0.85...
  2. G

    How to interprets this algorithm

    I make some algorithms to estimate the optimal values. and i want to model it algorithms using probabilistic theorem. but i dont know which algorithm or model is proper expression. at first, i thinks it is a kind of bayesian network. When a given graphical model is A -> B. In...
  3. M

    max sum

    Consider two discrete variables x and y each having three possible states, for example x, y ∈ { 0, 1, 2 } . Construct a joint distribution p(x, y) over these variables having the property that the value  xi that maximizes the marginal p(x), along with the value  yi that maximizes the...