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Related lectures (31)

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Explores optimization, simulation, data analysis, and the importance of considering more than just the mean in engineering systems.

Explores statistical inference for bandit data, focusing on personalized treatment actions and challenges of standard estimators.

Explores causal inference through learning graph structures for causal reasoning from observational data.

Explores causality, correlation, and spurious correlations in machine learning, emphasizing bias mitigation and invariance across environments.

Explains LTI systems, Laplace Transform, transfer function, and system properties.

Explores causal inference in epidemiology, focusing on COVID-19's impact on preterm birth and refining treatment strategies for prostate cancer.

By Qingyuan Zhao delves into Mendelian randomization, exploring its history, challenges, and recent methods to handle pleiotropy.

Covers linear time invariant systems, focusing on impulse response and convolution.

Covers LTI systems, z-Transform, and the Region of Convergence (ROC) with stability criteria and illustrative examples.

Investigates how birth month influences athlete success, analyzing Japanese athletes' dataset to explore trends in birthdates and occupations.