Assessing Market Regulation

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Explores constructing a probability model, random sampling, variance calculation, and allocation optimization in experiments.

Experimental Design: Replication, Randomization, Blocking

Delves into experimental design in genomics, emphasizing replication, randomization, and blocking for reducing bias and controlling variation.

Introduction to Probability Theory

Covers the basics of probability theory, including definitions, calculations, and important concepts for statistical inference and machine learning.

Causal Inference: Understanding Treatment Effects

Explores treatment effects, confounding variables, and challenges in interpreting observational study results.

Evaluating Learning Technologies: Randomized Experiments Insights

Discusses the impact of live streaming lectures on student performance and attendance, revealing varied effects based on student ability levels.

Causality and Clinical Studies

Explores causality, clinical studies, new drug evaluation, confounding factors, and data analysis methods.

Impact Investment: Technologies, Innovations and Emerging Markets

Explores impact investment, social goals, outcomes, measurement methods, and practical exercises in impact evaluation.

Epidemiological Parameters Inference from Clinical Data

Explores the challenges of inferring epidemiological parameters from clinical data, focusing on COVID-19 and the complexities of estimating infection fatality ratios.

Paired Tests: Shoe Sole Experiment

Explores paired tests using a shoe sole experiment, showing significant differences between materials A and B.

The Flash Crash: High Frequency Trading Analysis

Analyzes the 2010 flash crash, focusing on high frequency trading impact.