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Applied probabilists are particularly concerned with the application of stochastic processes, and probability more generally, to the natural, applied and social sciences, including biology, physics (including astronomy), chemistry, computer science and information technology, and economics.

1 Related articles

• Areas of application:
  • Statistical physics.
  • Stoichiometry and modelling chemical reactions.
  • EcologyEcology is the branch of science that studies the distribution and abundance of living organisms, and the interactions between organisms and their environment. The environment of an organism includes both its physical habitat, which can be described as th, particularly population modelling.
  • Evolutionary biologyThis article is about biological evolution. For other possible meanings, see Evolution (disambiguation). Evolution generally refers to any process of change over time. However, in the context of the life sciences, evolution is a change in the genetic make.
  • OptimizationIn computing, optimization is the process of modifying a system to improve its efficiency. The system can be a single computer program, a collection of computers or even an entire network such as the Internet. Although the word "optimization" shares the s in computer science.
  • TelecommunicationTelecommunication is the extension of communication over a distance. In practice it also recognizes that something may be lost in the process; hence the term 'telecommunication' covers all forms of distance and/or conversion of the original communicationss.
  • Options pricingThe Black-Scholes model often simply called Black-Scholes is a model of the varying price over time of financial instruments, and in particular stocks. The Black-Scholes formula is a mathematical formula for the theoretical value of European put and call in economics.

• Stochastic processes:
  • Markov chainIn mathematics, a (discrete-time) Markov chain is a discrete-time stochastic process with the Markov property. In such a process, the distant past is irrelevant given knowledge of the recent past. There are also continuous-time Markov chains. A Markov cha.
  • Poisson process.
  • Brownian motion and other diffusion process es.
  • Queueing theory.
  • Renewal theory .