Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Mutual Information in Biological Data

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (42)

Quantifying Entropy in Neuroscience Data

Delves into quantifying entropy in neuroscience data, exploring how neuron activity represents sensory information and the implications of binary digit sequences.

Probability Models: Fundamentals

Introduces the basics of probability models, covering random variables, distributions, and statistical estimation.

Random Variables and Information Theory Concepts

Introduces random variables and their significance in information theory, covering concepts like expected value and Shannon's entropy.

Conditional Entropy and Information Theory Concepts

Discusses conditional entropy and its role in information theory and data compression.

Dependence in Random Vectors

Explores dependence in random vectors, covering joint density, conditional independence, covariance, and moment generating functions.

Elements of Statistics: Probability and Random Variables Log in to Mediaspace to watch this video

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

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

Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.

Causal Systems & Transforms: Delay Operator Interpretation Log in to Mediaspace to watch this video

Covers z Variable as a Delay Operator, realizable systems, probability theory, stochastic processes, and Hilbert Spaces.

Elements of Statistics: Estimation & Distributions Log in to Mediaspace to watch this video

Covers fundamental statistics concepts, including estimation theory, distributions, and the law of large numbers, with practical examples.

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.

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.

Signals & Systems I: Vector Approximation and Signal Comparison Log in to Mediaspace to watch this video

Explores vector approximation, signal detection, correlation, Fourier series, and signal comparison in signals and systems.

Estimating R: Moments and Covariance Log in to Mediaspace to watch this video

Covers the estimation of R, focusing on moments and covariance.

Electronic Wave Function of the Atom: Probability Density Log in to Mediaspace to watch this video

Explores the electronic wave function of the ground state of the atom and probability density.

Transport Effects in Heterogeneous Catalysis Log in to Mediaspace to watch this video

Explores transport effects in heterogeneous catalysis, emphasizing the impact of mass transfer on reaction kinetics and mechanisms.

Thermodynamics: Exploring the Second Principle and Entropy Log in to Mediaspace to watch this video

Covers thermodynamic principles, focusing on the second principle and the concept of entropy.

Parametric Signal Models: Markov Chains Log in to Mediaspace to watch this video

Explores parametric signal models, including AR processes and Markov chains, covering synthesis, analysis, and correlation structures.

Ising Model: Ferromagnetism on Grid Log in to Mediaspace to watch this video

Introduces the Ising model for ferromagnetism on a grid of random variables, exploring mass functions and partition functions.

Second Principle: Thermodynamic Systems and Entropy Analysis Log in to Mediaspace to watch this video

Covers the second principle of thermodynamics, focusing on entropy and reversible processes in thermodynamic systems.

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.

Page 2 of 3