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Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.

2 votes
0 answers
104 views

Modelling a GI/G/1 queue with exceptional first vacation and multiple vacations

I am currently working on a stochastic modelling problem in networks. I have a G/G/1 queue where the interarrival and inter-service times are iid the arrival and service time distributions are ind …
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  • 519
1 vote
2 answers
177 views

First hit time in a graph setting

I considered the problem of a form of CTMC evolving in a graph: Consider a graph of $G(V,E)$ with $|V|=N$ nodes. Each node has a 1-0 CTMC associated with it: There is a vertex dependent rate $\mu_i …
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  • 519
2 votes
1 answer
280 views

Edge-perspective degree distribution

I was reading this paper when I came across something called the edge-perspective degree distribution in a network. Consider a graph $G$, the degree distribution of whose nodes is $f(d)$. They say the …
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  • 519
2 votes
1 answer
664 views

Transition probabilities in coupled Markov chains

I know that for a continuous-time Markov chain, the probability of transition from time $0$ to $t$ is given by $P(t)=e^{Q(t)t}$. I have a system of $N$ interdependent continuous-time Markov chains evo …
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  • 519
6 votes
1 answer
384 views

Quasi-stationary distribution for a death process

In the paper, Survival in a quasi-death process by van Doorn and Pollett, the quasi-stationary distribution of a transient CTMC is discussed and QSD for a simple death process is derived. Consider a …
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  • 519
12 votes
3 answers
4k views

How to explain "Feller process" to an undergraduate student?

I had to explain in informal terms what a Feller process was, to undergraduate students who understand Markov property, Poisson processes and such. It was easy to define Levy process as generalisation …
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  • 519
1 vote
0 answers
111 views

Conditional probabilities in epidemic model

I was contemplating an epidemic model where infection and recovery rates are determined by links. Here node $i$ is infected first and recovers at a rate $\mu_i$. For all other nodes, the recovery is b …
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  • 519
6 votes
1 answer
171 views

Relative vulnerabilities in SIS epidemic model

Consider the SIS model of epidemic spreading. There is a finite graph $G(V,E)$, link infection rates $\lambda_{ij}$ and node recovery rates $\mu_i$. There are a few initial nodes which are infected at …
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  • 519