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Lecture
Modelling Latent Animal Movement: Hidden Markov Models
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Discrete-Time Markov Chains: Definitions
Covers the definitions and state probabilities of discrete-time Markov chains.
Markov Chains and Applications
Explores Markov chains, Ising Model, Metropolis algorithm, and Glauber dynamics.
Ethical Considerations in Animal Experimentation
Explores ethical considerations in animal experimentation, including public attitudes, Swiss regulations, and the impact of activism on scientists.
Markov Chains: Transition Densities
Covers Markov processes, transition densities, and distribution conditional on information, discussing classification of states and stationary distributions.
Markov Chains: Theory and Applications
Covers the theory and applications of Markov chains in modeling random phenomena and decision-making under uncertainty.
Markov Chains: Ergodic Chains Examples
Covers stochastic models for communications, focusing on discrete-time Markov chains.
Equilibrium of Markov Chains
Explores equilibrium in Markov Chains, covering invariant distributions, properties determination, and practical applications.
Discrete-Time Markov Chains: Definitions
Covers the definitions and state probabilities of discrete-time Markov chains.
Markov Chains: Ergodic Chains Examples
Covers stochastic models for communications, focusing on discrete-time Markov chains.
Markov Chains and Applications
Explores Markov chains, their properties, and algorithmic applications, emphasizing information quantification and state monotonicity.
