Lectures related to Extreme Variability Quasars

Active galaxies: AGN and Black Holes

Explores the classification and statistics of AGN, black holes, unified AGN model, variability, megamasers, orbital motion measurement, and time-delay cosmography.

Galactic Nuclei: Radio Galaxies and Quasars MOOC: The Radio Sky I: Science and Observations

Explores the study of galactic nuclei, focusing on radio galaxies and quasars, and the unification of active galactic nuclei.

Astroparticle Physics: Neutron Stars and Cosmic Rays

Explores neutron stars, supernova explosions, and their role in cosmic ray production.

Sampling Theory: Statistics for Mathematicians

Covers the theory of sampling, focusing on statistics for mathematicians.

Understanding Statistics & Experimental Design

Covers statistics, experimental design, errors, distributions, implications of sample size, and null results.

Dark Matter Indirect Detection

Explores dark matter indirect detection methods, including WIMPs, gamma-ray observations, and supermassive black holes.

Hypothesis Testing and Confidence Intervals: Key Concepts

Provides an overview of hypothesis testing and confidence intervals in statistics, including practical examples and key concepts.

Parameter Estimation

Discusses parameter estimation, including checks, quality, distribution, and statistical properties of estimates.

Hypothesis Testing and Confidence Intervals: An Overview

Covers hypothesis testing, confidence intervals, and their applications in statistics.

Generative Models: Self-Attention and Transformers

Covers generative models with a focus on self-attention and transformers, discussing sampling methods and empirical means.

Statistics & Experimental Design

Explores conditional probability, Framingham studies, effect size, t-test, and sampling error in statistics.

Galaxies and Clusters MOOC: The Radio Sky I: Science and Observations

Explores the content of the Universe, large scale structures, galaxy classification, and galaxy clusters.

Law of Large Numbers: Statistics

Explains the Law of Large Numbers and its application to random variables.

Multivariate Statistics: Normal Distribution

Introduces multivariate statistics, covering normal distribution properties and characteristic functions.

Natural Language Generation: Decoding & Training

Explores challenges in natural language generation, decoding algorithms, training issues, and reward functions.

Gauss-Markov Theorem: Optimal Estimation

Explores the Gauss-Markov Theorem and the optimality of Least Squares Estimators in the Gaussian Linear model.

Introduction to Financial Markets and Time Series Log in to Mediaspace to watch this video

Introduces financial markets, time series, machine learning applications in finance, and natural language processing.

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.

The Matter Content in the Universe Log in to Mediaspace to watch this video

Explores the matter content in the universe, including galaxy mass, dark matter relics, and the history of the universe.

Normal Distribution: Characteristics and Z-scores Log in to Mediaspace to watch this video

Explores normal distribution characteristics, Z-scores, probability in inferential statistics, sample effects, and binomial distribution approximation.