Lectures related to Estimating Deviations

Covers statistical analysis, emphasizing data exploration and inference to quantify uncertainty and draw conclusions.

Covers the basics of the normal distribution and its applications in probability calculations.

Covers point estimation, confidence intervals, and hypothesis testing for smooth functions using mixed models and spline smoothing.

Explores fundamental solutions, Green's formula, distributions, and convergence in Laplace equation.