Related lectures (165)
Multilinear Regression: Least Square Fit
Covers multilinear regression using least square fit method and the importance of standardizing variables.
Plackett-Burman Design: Hadamard Matrix
Explores the construction and application of Hadamard matrices for efficient estimation of main effects without interactions in the Plackett-Burman Design.
Electric Cable Potential Analysis
Covers the analysis of electric cable potential based on temperature data.
Newton's method: Hessian and optimization
Explores Newton's method for optimization, emphasizing the role of the Hessian matrix.
NonLinear Regression
Explores non-linear regression models, likelihood estimation, model fitting, and confidence intervals.
Multilinear Regression: Basics and Applications
Covers the basics of multilinear regression and its application in analyzing material properties.
Hadamard Design: Introduction and Construction
Introduces Hadamard and Plackett-Burman designs, explaining construction, analysis, and optimization techniques.
Recursive Least-Squares: Weighted Formulation
Covers the Recursive Least-Squares algorithm with weighted formulation for real-time data updating.
Splines: Fundamentals and Applications
Explores B-splines, natural cubic splines, and smoothing splines in regression problems and their practical applications.
Statistics for Civil Engineering
Covers the fundamentals of statistics, exploring probabilistic models, variability, uncertainty, and data collection.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.