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MSC 2010
broader concept
Probability theory and stochastic processes
narrower concept
Discrete-time Markov processes on general state spaces
Markov chains (discrete-time Markov processes on discrete state spaces)
Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.)
Computational methods in Markov chains
Continuous-time Markov processes on general state spaces
Continuous-time Markov processes on discrete state spaces
Applications of continuous-time Markov processes on discrete state spaces
Transition functions, generators and resolvents
Right processes
Probabilistic potential theory
Boundary theory
Local time and additive functionals
Multiplicative functionals
Diffusion processes
Brownian motion
Stochastic (Schramm-)Loewner evolution (SLE)
Superprocesses
Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.)
Jump processes
Branching processes (Galton-Watson, birth-and-death, etc.)
Applications of branching processes
None of the above, but in MSC2010 section 60Jxx
skos:prefLabel
Markov processes
Markov过程
Processi di Markov
skos:exactMatch
http://msc2010.org/resources/MSC/1991/60Jxx
http://msc2010.org/resources/MSC/2000/60Jxx
skos:notation
60Jxx
skos:relatedMatch
http://msc2010.org/resources/MSC/2010/fullDD21-519.233
is
rdfs:seeAlso
of
Markov semigroups and applications to diffusion processes
Control of mechanical systems
Turbulence
is
Subject
of
Optimization of System Availability for a Multi-State Preventive Maintenance Model from the Perspective of a System’s Components
is
broader concept
of
Discrete-time Markov processes on general state spaces
Markov chains (discrete-time Markov processes on discrete state spaces)
Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.)
Computational methods in Markov chains
Continuous-time Markov processes on general state spaces
Continuous-time Markov processes on discrete state spaces
Applications of continuous-time Markov processes on discrete state spaces
Transition functions, generators and resolvents
Right processes
Probabilistic potential theory
Boundary theory
Local time and additive functionals
Multiplicative functionals
Diffusion processes
Brownian motion
Stochastic (Schramm-)Loewner evolution (SLE)
Superprocesses
Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.)
Jump processes
Branching processes (Galton-Watson, birth-and-death, etc.)
Applications of branching processes
None of the above, but in MSC2010 section 60Jxx
is
narrower concept
of
Probability theory and stochastic processes
is
http://msc2010.org...msc2010#forTarget
of
http://msc2010.org/resources/MSC/2010/47D07-to-60Jxx-seeFor
is
http://msc2010.org...0/msc2010#seeAlso
of
Control of mechanical systems
Turbulence
is
http://msc2010.org...#seeConditionally
of
Markov semigroups and applications to diffusion processes
is
skos:semanticRelation
of
Markov semigroups and applications to diffusion processes
Control of mechanical systems
Turbulence
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