EP 219 - Data Analysis and Interpretation, Autumn 2016-17
Instructor Name Vikram Rentala Course Type Core for EP students Course overview Probability axioms and theorems ; Probability distributions - Mean, variance, skewness, kurtosis, moments, characteristic function, cumulants ; Transformation of variables ; Multivariate probability distribution ; Detailed discussion of Gaussian, Poisson, Binomial and Multinomial, Chi-squared distributions ; Statistical and Systematic errors ; Error propagation ; Error ellipses ; Parameter Inference ; Confidence Intervals ; Hypothesis Testing ; Likelihoods ; Goodness of Fit Test ; p-value. Brief look at other distributions like exponential, gamma, Lorentz/Cauchy/Breit-Wigner, log-normal ; Generalised approach for distributions : n-dimensions ; Likelihoods associated with histograms Prerequisites No formal or informal prerequisites. Credit distribution 2 quizzes (10% each), midsem (25%), endsem (45%), assignment (10%) . Feedback on Lectures Attendance not compu...