Understanding Statistics & Experimental Design

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Related lectures (54)

Chaos Engineering: Advanced Principles Log in to Mediaspace to watch this video

Explores advanced Chaos Engineering principles, risk management, automation, and fault injection testing.

Central Limit Theorem Log in to Mediaspace to watch this video

Covers the central limit theorem, showing how random processes converge to a normal distribution.

Generalized Linear Models: A Brief Review Log in to Mediaspace to watch this video

Provides an overview of Generalized Linear Models, focusing on logistic and Poisson regression models, and their implementation in R.

Conditional Probability: Definition and Examples Log in to Mediaspace to watch this video

Explains the calculation of conditional probability with definitions and examples.

Pizza Making Process Log in to Mediaspace to watch this video

Covers the process of making pizza, sampling, averages, dispersion, residuals, and normal distribution.

Data-Driven Modeling in Neuroscience: Meenakshi Khosla Log in to Mediaspace to watch this video

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.

Binomial and Poisson Mass Functions Log in to Mediaspace to watch this video

Explores binomial and Poisson mass functions, calculating probabilities and discussing distribution functions of random variables.

Review Session: Module 1 Log in to Mediaspace to watch this video

Introduces inferential statistics, covering sampling, central tendency, dispersion, histograms, z-scores, and the normal distribution.

Elements of Statistics: Memorylessness, Stationary Processes, Estimation using MLE Log in to Mediaspace to watch this video

Explores memorylessness in distributions, stationary processes, and estimation using MLE.

Martingales and Brownian Motion: Leaving Intervals and Maximum Distribution Log in to Mediaspace to watch this video

Explores the average time for a Brownian motion to leave an interval and the maximum distribution.

Ethics in NLP Log in to Mediaspace to watch this video

Discusses the ethical implications of NLP systems, focusing on biases, toxicity, and privacy concerns in language models.

Dispersion Models: Understanding Axial Dispersion Coefficient Log in to Mediaspace to watch this video

Explores dispersion models and the axial dispersion coefficient in fluid systems.

Equidistribution of CM Points Log in to Mediaspace to watch this video

Explores the joint equidistribution of CM points and their properties in ergodic theory and homogeneous dynamics.

Probability Fundamentals Log in to Mediaspace to watch this video

Introduces fundamental probability concepts, including events, complements, conditional probability, and random variables.

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