Lectures related to Modelling Latent Animal Movement: Hidden Markov Models

Covers inheritance, polymorphism, and casting in object-oriented programming, emphasizing code factorization and generic object manipulation.

Covers stochastic models for communications, focusing on discrete-time Markov chains.

Explores reversibility in Markov chains and its impact on the stationary distribution, highlighting the complexity of non-reversible chains.

Explores network sampling consistency, models, and graph dynamics in real-life scenarios.

Provides an overview of signal models and methods in statistical signal processing.