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MS-C1620 - Statistical Inference, Lecture, 9.1.2023-19.4.2023

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Syllabus
 

Lectures

  • Lectures

    Lectures

    The course lectures are on Thursdays at 8.15-10.00 in the hall U2.

    The lectures will be video recorded, so you can watch them afterwards. Also available are recordings from spring 2022 Zoom lectures. Note that the lecture room videos have 2--3 video streams (camera + one or two screens). You can switch between them when watching from Panopto.

    On the live lectures, you are encouraged to ask questions. Sometimes the questions may warrant a longer answer than I can provide on the lecture, and I will post extended answers here under the Q&A thread. (The thread also contains questions and answers from the previous year.)

    In the column "Planned topic", you can find the slides for the planned lecture. Actual lectures may run faster or slower. If the actual lectures are lagging behind, you may want to read the slides on your own, for example, if you need tools for the exercises. Until updated, slides from previous year are available here.

    Lecture plan
    Lecture    Day
    Planned topic, slides
        Videos etc.  
    Lecture slides
    updated
    Example code
    L1
    12.1.
    Descriptive statistics
    new, old, Q&A 
    11.1.
    L1 code
    L2 19.1.
    Confidence intervals and hypothesis testing  
    (no new video,
    see old) old
    19.1.
    L2 code
    L3 26.1.  
    Non-parametric tests (distribution-free)
    new, old, Q&A

    L3 code
    L4
    2.2.
    Inference for binary data
    new, old,
    extra slides

    L4 code
    L5
    9.2.
    Distribution tests
    new, old

    L5 code
    L6
    16.2.
    Correlation and dependence
    new, old

    L6 code


    Period break

    L7
    2.3.
    Linear regression I
    (no new video,
    see old), old

    L7 code
    L8
    9.3.
    Linear regression II
    new (note two screens)
    old, Q&A

    L8 code
    + matlab code showing regression plane
    L9
    16.3.
    Linear regression III,
    Model complexity and Cross validation
    lecture cancelled,

    read slides and watch old video
    old

    L9 code
    L10
    23.3.
    ANOVA
    old

    L10 code
    L11
    30.3.
    Kernel regression
    old

    L11 code
    L12 13.4.
    TBA





    • icon for activity
      FileNon-parametric tests File
      PDF document
    • icon for activity
      FileInference for binary data File
      PDF document
    • icon for activity
      FileDistribution tests File
      PDF document
    • icon for activity
      FileCorrelation and dependence File
      PDF document
    • icon for activity
      FileLinear regression I File
      PDF document
    • icon for activity
      FileLinear regression II File
      PDF document
    • icon for activity
      FileLinear regression III File
      PDF document
    • icon for activity
      FileANOVA File
      PDF document
    • icon for activity
      FileL1 code File
      Text file
    • icon for activity
      FileL3 code File
      Text file
    • icon for activity
      FileL2 code File
      Text file
    • icon for activity
      FileL4 code File
      Text file
    • icon for activity
      FileL5 code File
      Text file
    • icon for activity
      FileL6 code File
      Text file
    • icon for activity
      FileL7 code File
      Text file
    • icon for activity
      FileL8 code File
      Text file
    • icon for activity
      FileL9 code File
      Text file
    • icon for activity
      FileL10 code File
      Text file
    • icon for activity
      FileL11 code File
      Text file
    • icon for activity
      FileL12 code File
      Text file
    • icon for activity
      FileL3 extra code File
      Text file

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  • MS-C1620 - Statistical Inference, Lecture, 9.1.2023-19.4.2023
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  • Schools
    • School of Arts, Design, and Architecture (ARTS)
    • School of Business (BIZ)
    • School of Chemical Engineering (CHEM)
    • –sGuides for students (CHEM)
    • – Instructions for report writing (CHEM)
    • School of Electrical Engineering (ELEC)
    • School of Engineering (ENG)
    • School of Science (SCI)
    • Language Centre
    • Open University
    • Library
    • Aalto university pedagogical training program
    • UNI (exams)
    • Sandbox
  • Service Links
    • MyCourses
    • - MyCourses instructions for Teachers
    • - MyCourses instructions for Students
    • - Teacher book your online session with a specialist
    • - Digital tools for teaching
    • - Personal data protection instructions for teachers
    • - Workspace for thesis supervision
    • Sisu
    • Student guide
    • Courses.aalto.fi
    • Library Services
    • - Resourcesguides
    • - Imagoa / Open science and images
    • IT Services
    • Campus maps
    • - Search spaces and see opening hours
    • Restaurants in Otaniemi
    • ASU Aalto Student Union
    • Aalto Marketplace
  • ALLWELL?
    • Study Skills
    • Guidance and support for students
    • Starting Point of Wellbeing
    • About AllWell? study well-being questionnaire
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