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Probability density function
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Related lectures (30)
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Continuous Random Variables
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Quantization of Probability Distributions
Covers quantization of probability distributions, statistical k-means clustering, mean estimation, robust clustering methods, and open research questions.
Conditional Density and Expectation
Explores conditional density, expectations, and independence of random variables with practical examples.
Brownian Motion: Theory and Applications
Covers the theory of Brownian motion, diffusion, and random walks, with a focus on Einstein's theory for one-dimensional motion.
Statistics for Data Science: Basics and Modelling
Introduces statistical modelling basics, probability theory, and key concepts for data science applications.
Probability and Statistics: Data Modeling and Analysis
Explores PDF forms, statistics, boxplots, density curves, and data analysis methods.
Probability and Statistics: Fundamental Theorems
Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.
Probability and Statistics
Explores joint random variables, conditional density, and independence in probability and statistics.
Probability and Statistics: Discrete Random Variables
Explores discrete random variables, mass functions, and distribution functions in probability and statistics.
Probability Distributions: Discrete and Continuous
Covers discrete and continuous probability distributions, including joint and conditional probabilities.
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