Social and Information Networks 2: Evolution

Related lectures (32)

Page 3 of 4

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

Explores air pollution analysis using wind data, probability distributions, and trajectory models for air quality assessment.

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

Covers the characteristics and importance of the normal distribution, including examples and treatment scenarios.

Covers stochastic properties, network structures, models, statistics, centrality measures, and sampling methods in network data analysis.

Explores the Exponential Family distribution, covering entropy, energy, and moments.

Explores statistical parameter estimation, sample accuracy, and Bernoulli variables' properties.

Explores efficient stochastic numerical methods for modeling and learning, covering topics like the Analytical Engine and kinase inhibitors.

Explores network formation through random connection models and node degree distribution.

Covers decoding methods and training challenges in natural language generation.