The Nonparametric Inference for Complex Data and its Applications (NICDA) research group is formed by members of the Department of Statistics of Universidad Carlos III de Madrid. Its research focus is on nonparametric, mathematical, and computational statistics, with particular emphasis on the analysis of complex data with geometric structure, spatio-temporal dependence, or incomplete information.
The NICDA group will be having a “Statistics Reading Group” to read and discuss technical books in Statistics and Probability. The first book we will read is Anirban DasGupta’s Probability for Statistics and Machine Learning. This reference book of 20 chapters and 784 pages gives a great overview of fundamental and modern probability methodology that is key for statistical inference. Therefore, it is a great resource for PhD students and researchers in Statistics.