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Learn the fundamentals of fitting Probability Density Functions (PDFs) in this comprehensive two-part lecture from the Galileo Galilei Institute. Explore statistical methods and techniques for analyzing and fitting probability distributions to data sets, with practical demonstrations and theoretical explanations that build a strong foundation in statistical analysis. Gain valuable insights into PDF fitting methodologies, parameter estimation, and model validation techniques essential for research and data analysis applications.
