Inference of Effects: Models and Interactions

Related lectures (29)

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Covers the formulation of optimization programs for minimizing piecewise linear cost functions.

Explores the performance evaluation and conclusions of electroacoustic absorbers in room modal equalization and optimization.

Explores Gaussian Process-Based Model Predictive Control for HVAC systems using Gaussian processes, Bayesian statistics, and non-linear equations.

Covers single inequality or equality constraints and necessary optimality conditions in optimization problems.

Explores statistical analysis, mean square error, and bootstrapping methods in optimization and simulation.

Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.

Explores virtual work to optimize load positions for maximum effect.

Explores Bayesian inference, knapsack problem, and prediction using Markov Chain Monte Carlo methods.

Explores optimization techniques like Metropolis-Hastings and Simulated Annealing through Markov chains and stationary distributions.