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Related lectures (31)
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Optimization and Simulation
Covers the Metropolis-Hastings algorithm and gradient-based approaches for biasing searches towards higher likelihood values.
Defect Kinetics: Light Induced Processes
Explores the kinetics of light-induced defects in electronic materials, covering defect creation, annealing, and unified models.
Hypothesis Testing & Confidence Intervals
Covers hypothesis testing, power, confidence intervals, and small sample considerations.
Generalized Linear Models: Examples and Applications
Explores special examples of Generalized Linear Models, covering logistic regression, count data models, separation issues, and nonparametric relationships.
QUCS Parameter Sweeps
Covers the process of doing parameter sweeps in QUCS, focusing on setting up and configuring the simulation type 'parameter sweep' with linear values.
Renormalization Group: Universal Critical Exponents
Explores the universal critical exponents of microscopic systems and the role of the renormalization group.
Weighted Least Squares Estimation: IRLS Algorithm
Explores the IRLS algorithm for weighted least squares estimation in GLM.
Maximum Likelihood Theory & Applications
Covers maximum likelihood theory, applications, and hypothesis testing principles in econometrics.
Derivative of an Integral
Covers the derivative of an integral dependent on a parameter and its fundamental properties.
Exponential Family Models: Statistical Inference
Covers exponential family models and their statistical properties, including canonical statistics and cumulant-generating functions.
