depthDensity function

Depth weighted density estimator

Depth weighted density estimator

Experimental function used to fit depth weighted density estimator.

depthDensity(x, y, nx = 5, ny = 32, xg = NULL, yg = NULL, ...)

Arguments

  • x: numeric vector
  • y: numeric vector
  • nx: the number of equally spaced points at which the density is to be estimated in x-dimension.
  • ny: the number of equally spaced points at which the density is to be estimated in x-dimension.
  • xg: vector of point at which the density is to be estimated.
  • yg: vector of point at which the density is to be estimated.
  • ...: arguments passed to depthLocal.

Examples

## Not run: # .sampleData is special function for creating # data for testing conditional denisty estimators data <- DepthProc:::.sampleData(1:5, 100) x <- data[, 1] y <- data[, 2] plot(x, y) dep <- depthDensity(x, y) plot(dep, type = "raw") plot(dep, type = "depth") ## End(Not run)

References

Kosiorowski D. and Zawadzki Z. (2014) Notes on optimality of predictive distribution pseudo-estimators in the CHARME models and automatic trading strategies, FindEcon2014, submitted