Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Probabilistic Functions: Free Fields and Random Variables
Graph Chatbot
Related lectures (53)
Probability Distributions in Environmental Studies
Log in to Mediaspace to watch this video
Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.
Probability Theory: Random Variables and Distributions
Log in to Mediaspace to watch this video
Introduces probability theory, random variables, and distributions, with a focus on their applications in atomic diffusion.
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.
Random Variables: Introduction and Bernoulli Trials
Log in to Mediaspace to watch this video
Introduces random variables, approximation, convergence, and Bernoulli trials in statistics.
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.
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.
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.
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.
Hydrologic Design: Probability & Statistics
Log in to Mediaspace to watch this video
Explores the application of probability and statistics in hydrologic design, covering topics such as return period, risk assessment, and empirical data analysis.
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.
Probability and Statistics
Log in to Mediaspace to watch this video
Covers mathematical concepts from number theory to probability and statistics.
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.
Probability Spaces
Log in to Mediaspace to watch this video
Covers random variables, expectation, and distributions in probability spaces.
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 Analysis: Boxplot and Normal Distribution
Log in to Mediaspace to watch this video
Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.
Probability and Statistics: Basics and Applications
Log in to Mediaspace to watch this video
Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.
Interpolation Techniques
Log in to Mediaspace to watch this video
Explores interpolation techniques, including inequalities, continuity proofs, and function interpolation in different spaces.
Statistics: Exploratory Data Analysis
Log in to Mediaspace to watch this video
Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.
Joint Random Variables: Marginal Laws
Log in to Mediaspace to watch this video
Explains joint random variables, marginal laws, and independence implications.
Stochastic Models for Communications: Continuous-Time Stochastic Processes
Log in to Mediaspace to watch this video
Explores continuous-time stochastic processes in communication systems.
Previous
Page 2 of 3
Next