Bivariate normal density function

Si, 2, mi, m2 are approximations for oi, 02, )ii, H2 respectively). The bivariate normal density function has a bell shape form, and it is centered at the point (pi, p.2) that represents the centroid of the distribution. A multivariate normal distribution can be defined similarly to a bivariate normal distribution. 

As subjects enroll in a study, the experimenter usually cannot control how old they are or what their weight is exactly. They are random. Still, in this case one may wish to either make inferences on the parameter estimates or predictions of future Y values. Begin by assuming that Y can be modeled using a simple linear model and that X and Y have a joint probability density function that is bivariate normal... 

A correlated bivariate normal distribution. The function blvnormMH can use the Metropolis-Hastings algorithm to draw a sample from a correlated bivariate normal target density using either an independent candidate density or a random-walk candidate density when we are drawing both parameters in a single draw. Also,... 

In the above equation, s ih bivariate normal probability density function (PDF) ... 

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