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Statistical Physics of Clusters
Explores the statistical physics of clusters, focusing on complexity and equilibrium behavior.
Brownian Motion: Theory and Applications
Covers the theory of Brownian motion, diffusion, and random walks, with a focus on Einstein's theory for one-dimensional motion.
Randomization tests: Understanding Experimental Results
Explores randomization tests as an alternative to t-tests for experimental analysis, using fake data to assess treatment effectiveness.
Singular Value Decomposition
Explores Singular Value Decomposition, low-rank approximation, fundamental subspaces, and matrix norms.
Design of Experiments Basics
Covers the fundamentals of Design of Experiments (DOE) and experimental strategies.
Mendelian Randomization: Insights and Challenges
By Qingyuan Zhao delves into Mendelian randomization, exploring its history, challenges, and recent methods to handle pleiotropy.
Safe Learning and Control
Explores safe learning, control, multi-agent coordination, and Nash equilibrium convergence in intelligent systems.
Internal Transport: Mass Balance and Maxwell-Stefan Equation
Explores internal transport phenomena, focusing on mass balance and the Maxwell-Stefan Equation in single pores.
ANOVA and Factorial Experiments
Explores ANOVA, factorial experiments, and model evaluation techniques.
Linear Algebra: Eigenvalues and Eigenvectors
Explores eigenvalues, eigenvectors, diagonalization, and spectral theorem in linear algebra.