Universidad Pontificia Comillas
Instituto de Investigación Tecnológica
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Estadística II / Statistics II (3rd GITI, year 2024-25)

News:


The current table reflects in a realistic way the course development during the several sessions. It allows the student to know in advance what is going to happen in each session in order to prepare the subject and to organize its work adequately.


Date
Theory
Readings
Exercises / Problems
Practice


Jan 14, 25

INTRODUCTION

Review of Statistics

Learn MATLAB Basics, Step By Step Script Execution

Statistical Software Survey. OR/MS Today

¿Sabes lo que pasa cuando das a 'sí, acepto' en una app? La master class de Chema Alonso

Taking your print. Spectrum IEEE. Aug 2014

Comprar en la era de Big Data. El País. 13-sep-2014

Th.H. Davenport and D.J. Patil Data Scientist: The Sexiest Job of the 21st Century Harvard Business Review Oct 2012

M. Asay Why Data Scientists Get Paid So Much ReadWrite July 2014

D. Peña Big Data and Statistics: Trend or Change? Boletín de Estadística e Investigación Operativa 30 (3): 313-324, Nov 2014

C. Maté Big data. Un nuevo paradigma de análisis de datos Anales de Mecánica y Electricidad XCI(VI): 10-16 Dic 2014

Segway Analytics

Languages and software for Data Analytics

  • Matlab
  • Python
  • R
  • seaborn Statistical data visualization
  • statsmodels Statistical models, hypothesis tests, and data exploration
  • scikit-learn Machine Learning in Python
  • H2O The #1 open-source machine learning platform for the enterprise
  • KNIME Make sense of data, together. Analyze. Upskill. Scale. No coding required.
  • TensorFlow An open source machine learning library for research and production
  • Pytorch An open source machine learning framework that accelerates the path from research prototyping to production deployment
  • MLLib is Apache Spark's scalable machine learning library
  • Prophet is open source forecasting software released by Facebook's Core Data Science team.

  • Jan 15, 25

    REGRESSION

    Simple Linear Regression


    Jan 15, 25

    Parameter estimation. Significativity.



    Jan 21, 25

    Residual analysis


    Jan 22, 25
    Multiple Linear Regression

    Jan 22, 25
    Parameter estimation


    Feb 4, 25
    Collinearity. Residual analysis.

    Feb 4, 25
    CLASSIFICATION

    Model complexity

    J. Peco, E.F. Sánchez-Úbeda, and T. Gómez Enhancing Optimal Transmission or Subtransmission Planning by using Decision Trees IEEE Budapest Power Tech, Budapest, Hungary, August 1999


    Feb 5, 25

    Lab REGRESSION

    Feb 5, 25
    Lab REGRESSION


    Feb 11, 25
    TEST

    Feb 12, 25
    Classification Trees

    Feb 12, 25
    Classification Trees


    Feb 18, 25
    Discriminant analysis

    Feb 19, 25
    Discriminant analysis

    Feb 19, 25

    ANALYSIS OF VARIANCE

    Single factor

    E.F. Sánchez Úbeda, A. Muñoz, J. Villar Minería y visualización de datos del mercado eléctrico español Inteligencia Artificial, No. 29 (2006), pp. 79-88.


    Feb 25,19

    Several factors without interaction


    Feb 26, 25
    Lab CLASSIFICATION

    Feb 26, 25
    Lab CLASSIFICATION

    Feb xx, 25
    Several factors with interaction

    Feb xx, 25

    Spanish Electricity Market Study case with Matlab

    Spanish Electricity Market Study case with Python



    Mar xxx, 25
    MID-TERM EXAM


    Mar 11, 25

    PRINCIPAL COMPONENT ANALYSIS

    Estimation

    R. Espejo, G. Mestre, F. Postigo, S. Lumbreras, A. Ramos, T. Huang and E. Bompard Exploiting graphlet decomposition to explain the structure of complex networks: the GHuST framework Scientific Reports 10, Jul 2020 10.1038/s41598-020-69795-1

    J. Lunter Biometrics: Beyond facial recognition. What the next biometrics advancements will look like. Analytics Aug 2021 10.1287/LYTX.2021.06.01


    Mar 12, 25
    Lab ANOVA

    Mar 12, 25
    Lab ANOVA


    Mar 18, 25
    Selection

    Mar 19, 25
    Selection

    Mar 19, 25

    Interpretation.

    FACTOR ANALYSIS. Estimation. Rotation. Association of variables



    Mar 25, 25
    PCA Review

    Mar 26, 25
    Lab PCA & FA

    Mar 26, 25
    Lab PCA & FA


    Apr 1, 25

    CLUSTERING

    Distance measures

    H. Fry The mathematics of love April 2014

    L. Li, S. Das, R.J. Hansman, R. Palacios, A.N. Srivastava Analysis of flight data using clustering techniques for detecting abnormal operations Journal of Aerospace Information Systems. 12 (9), 587-598, Sept 2015.

    ClustEval. Integrative Clustering Evaluation Framework

    Apr 2, 25
    Hierarchical Clustering

    Apr 2, 25
    Dendrograms S. Moreno-Carbonell , E.F. Sánchez-Úbeda and A. Muñoz Time Series Decomposition of the Daily Outdoor Air Temperature in Europe for Long-Term Energy Forecasting in the Context of Climate Change Energies 2020, 13(7) 1569 10.3390/en13071569


    Apr 8, 25
    TEST

    Apr 9, 25
    K-means Q. Ploussard, L. Olmos and A. Ramos An operational state aggregation technique for transmission expansion planning based on line benefits IEEE Transactions on Power Systems 32 (4): 2744-2755 Oct 2017 10.1109/TPWRS.2016.2614368 Data Analytics for Transmission Expansion Planning

    Apr 9, 25
    Spanish Electricity Market Study case with Python


    Apr 22, 25
    Spanish Electricity Market Study case with Python

    Apr 23, 25
    Lab CLUSTERING

    Apr 23, 25
    Lab CLUSTERING


    May xxx, 24
    FINAL EXAM

    Jun xxx, 24
    RETAKE EXAM