Random Walks and Moran Model in Population Genetics

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (53)

Entropy and Information Theory Log in to Mediaspace to watch this video

Explores entropy, uncertainty, coding theory, and data compression applications.

Conditional Entropy and Data Compression Techniques Log in to Mediaspace to watch this video

Discusses conditional entropy and its role in data compression techniques.

Introduction to Data Science Log in to Mediaspace to watch this video

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Achievable Rate & Capacity Log in to Mediaspace to watch this video

Explores achievable rate, channel capacity, spectral efficiency, and fading channels in wireless communication systems.

Elements of Statistics Log in to Mediaspace to watch this video

Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.

Decision Tree Classification Log in to Mediaspace to watch this video

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Expectation Properties: Linearity, Inclusion-Exclusion Formula Log in to Mediaspace to watch this video

Covers the properties of expectation and examples of calculating expectations for random variables.

Spin Glasses and Bayesian Estimation Log in to Mediaspace to watch this video

Covers the concepts of spin glasses and Bayesian estimation, focusing on observing and inferring information from a system closely.

Characterization of Stochastic Processes: Theory and Applications Log in to Mediaspace to watch this video

Covers the characterization of stochastic processes, focusing on their mathematical foundations and real-world applications.

Elements of Statistics: Probability, Distributions, and Estimation Log in to Mediaspace to watch this video

Covers probability theory, distributions, and estimation in statistics, emphasizing accuracy, precision, and resolution of measurements.

Estimating Random Variables Log in to Mediaspace to watch this video

Covers the estimation of random variables and their functions.

Expectation Values: Understanding Probability Distribution Functions Log in to Mediaspace to watch this video

Explains how to calculate expectation values for random variables using examples like a dice game.

Stochastic Models for Communications Log in to Mediaspace to watch this video

Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.

Probability Distributions: Central Limit Theorem and Applications Log in to Mediaspace to watch this video

Discusses probability distributions and the Central Limit Theorem, emphasizing their importance in data science and statistical analysis.

Central Limit Theorem: Illustration and Applications Log in to Mediaspace to watch this video

Explores the Central Limit Theorem and its applications in statistical analysis.

Probability Distributions: Basics and Properties Log in to Mediaspace to watch this video

Covers the basics of probability distributions, including mean, variance, and properties of random variables.

Random Variables and Covariance Log in to Mediaspace to watch this video

Covers random variables, variances, and covariance, as well as the probability in random graphs.

Statistical Definition of Entropy: Adatoms and Mixing Log in to Mediaspace to watch this video

Explores the statistical definition of entropy, adatoms on a surface, and mixing in a solid solution.

Statistical Theory: Fundamentals Log in to Mediaspace to watch this video

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

Probability Spaces Log in to Mediaspace to watch this video

Covers random variables, expectation, and distributions in probability spaces.

Page 2 of 3