Classification and Recurrence/Transience

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Related lectures (32)

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Recurrence and transience in markov chains

Explores the concepts of recurrence and transience in continuous time Markov chains.

Continuous Time Markov Chains

Covers the basic theory for continuous time Markov chains and discusses communication, hitting probabilities, recurrence, and transience.

Discrete-Time Markov Chains: Reversible Chains

Covers reversible discrete-time Markov chains in communication models.

Markov Chains: States Classification

Explores the classification of states in Markov chains, emphasizing equivalence classes and periodicity.

Communication Amid Uncertainty

Explores challenges in human communication, context importance, compression problems, uncertain functionality, and proof verification.

Ergodic Theory: Markov Chains

Explores ergodic theory in Markov chains, discussing irreducibility and unique stationary distributions.

Conceptual Design: Applied Mechanical Design

Explores the conceptual design process, concept selection, embodiment, and detail design in applied mechanical design.

The Art of Science Communication

Emphasizes the importance of science communication, focusing on gaining support, building trust, and addressing misinformation.

Applied Probability & Stochastic Processes

Covers applied probability, Markov chains, and stochastic processes, including transition matrices, eigenvalues, and communication classes.

Site Selection and Communication in Environmental Impact Studies

Explores site selection challenges, stakeholder communication, and risks in environmental impact studies, using a case study from Cameroon and Nigeria.