Bunches of individual customers approach a single servicing facility according to a stationary compound Poisson process. The resulting waiting line process is studied in continuous time by the method ...
The ability to deal with unseen objects in a zero-shot manner makes machine learning models very attractive for applications in robotics, allowing robots to enter previously unseen environments and ...
Markov chain models and phase-type distributions have emerged as powerful tools in healthcare analytics, offering a robust framework for understanding and predicting patient trajectories throughout ...
Simulated packets arrivals with Bernoulli distribution and the packets’ size are in three different distributions which are deterministic, geometric and binomial respectively. The buffer size is ...
Content: In this lecture we analyse the class of Markov processes in continuous time. We start with a focus on processes processes in discrete state spaces. For this we introduce point processes as a ...
Content: In this lecture we analyse the class of Markov processes in continuous time. We start with a focus on processes processes in discrete state spaces. For this we introduce point processes as a ...
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