Why a linear model?

A linear model, in the broadest sense, is the basis for many more complex models, which are used to make predictions of a quantity of interest. This course provides the necessary elements to master this essential model, with a view to its use in machine learning and to create metamodels.

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2-day course

Objectives

  • Learn about the different types of metamodels.
  • Know how to build and exploit a metamodel by linear regression.
  • Know the main designs of experiments and methods of validation

Prerequisites

  • Good knowledge of probability theory.
  • Knowledge of Python recommended.

AUDIENCE

  • R&D Engineer
  • Design Office Engineer
  • Operational safety Engineer.

Upcoming sessions

  • May 20-21, 2021
  • November 4-5, 2021

PLACE

Paris (12ème ou 7ème arr. suivant disponibilité)


MANAGER

Gaëtan BLONDET

Program

Introduction to metamodels

Design of experiments

Model choice

Metamodel validation

Linear regression model

  • Asymptotic formulation and law of estimators
  • Validation and statistical tests

Practice

catalogue_2021_incertitude

Application form

Register or ask for further information. Personalised training courses can also be provided. The location of the training is subject to change. Training courses can be held at a distance. In this case, the training can be delivered in several short sessions (e.g. 2 hours) via videoconference software, spread over several days, in agreement with the trainer and the participants.



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