Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points.
Giovanni MiglioratiFabio NobileRaúl TemponePublished in: J. Multivar. Anal. (2015)
Keyphrases
- least squares
- randomly distributed
- discrete geometry
- robust estimation
- probability distribution
- point sets
- computational geometry
- data points
- probability estimates
- convergence rate
- noisy data
- continuous functions
- stationary points
- convergence speed
- confidence intervals
- levenberg marquardt
- parameter estimation
- sparse linear
- feature points
- robust estimators
- convergence theorem
- central limit theorem
- convex hull