stochastic processes
Equivalence and bifurcations of finite order stochastic processes
... of stochastic processes induces a notion of stochastic ...a stochastic process whose dependency ratio is a structurally stable element under the equivalence relation under ...of ...
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Stochastic processes on totally disconnected topological groups
... Stochastic processes on totally disconnected topological groups are ...addition, stochastic processes on gen- eral Banach-Lie groups, loop monoids, loop spaces, and path spaces of manifolds on ...
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Simulation of Word Meaning Stochastic Processes
... SIMULATION OF WORD MEANING STOCHASTIC PROCESSES PART ~E LELIEOSTATIST]DS The Swadesh theory of lexicostatistics (1950, 1952, 1955) provided the first quantitative comparison of related languages based[.] ...
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MEXIT : Maximal un coupling times for stochastic processes
... other stochastic) processes to remain equal for as long as possible, when started in the same ...for stochastic processes in discrete time with countable ...random processes on general ...
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A study of stochastic processes in Banach spaces
... The formulae (1.2) and (1.3) were originally derived by mathematicians developing the theory of linear lters on stationary stochastic processes. Of note are Blanc-Lapierre and Fortet's paper [3], which ...
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On a New Class of Regular Doubly Stochastic Processes
... systems, stochastic processes and Markov chains are applied contexts that are used in advanced ...in stochastic process are prediction and ...the stochastic or probability or transition or ...
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On the supremum of certain families of stochastic processes
... for every δ > 0 as " → 0. In our main result in section 2, we find conditions in terms of the covering number N (T, d,δ ) , so that (1.2) holds. Although our technique is based on the well known chaining methods, ...
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Model Diatom Population by Branching Stochastic Processes
... Abstract: The phytoplankton is one of the most ancient inhabitants of our planet. It consists of mostly unicellular aquatic species, both fresh water and marine. The purpose of this work is to model the dynamics of a ...
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Lebesgues Stieltjes Integrals of Fuzzy Stochastic Processes with Respect to Finite Variation Processes
... real stochastic processes with respect to fuzzy va- lued stochastic ...fuzzy stochastic processes with re- spect to time t and Brownian motion were ...variation processes by ...
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Stochastic Processes and their Applications in Music: A Review
... IJSRR, 7(4) Oct. – Dec., 2018 Page 1893 models with respect to music composition. The review demonstrates that stochastic processes have been successfully applied in Western Classical Music to compose ...
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Statistical Inference for Discrete-Valued Stochastic Processes
... discrete-valued stochastic processes of var- ious ...of stochastic processes, in which the time-dependent random variables are assumed to take on only nonnegative integer values, ...
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Stochastic processes on non Archimedean Banach spaces
... In view of this developments, non-Archimedean analogs of stochastic equa- tions and diffusion processes need to be investigated. Some steps in this di- rection were made in [6]. There are different variants ...
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Tree Stochastic Processes
... Stochastic processes play a vital role in understanding the development of many natural and computational systems over ...where stochastic processes on trees play a significant ...
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Stochastic Processes and Integrals
... For someone familiar with elementary probability theory this may be the be- ginning of the reading. Indeed, this chapter reinforces (or describes in more detail) some difficulties that appear in probability theory when ...
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On the existence of a certain class of nonlinear stochastic processes
... stochastic processes. More precisely, we investigate a class of stochastic processes char- acterised by families of second order differential operators whose coefficients depend on probability ...
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Continuum and Discrete Estimates of Stochastic Processes or Stochastic Elementary Events
... Metropolis Monte Carlo is ONE way to study the properties of the set. Continuum partial differential equations describing densities is another. The relation of these apples and oranges REQUIRES a theory of estimation. ...
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Robust Extrapolation Problem for Stochastic Processes with Stationary Increments
... of stochastic processes is an important part of the theory of stochastic pro- ...ary stochastic processes were developed by Kolmogorov [1], Wiener[2], Yaglom [3, ...non-stationary ...
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Maximum likelihood estimation for stochastic processes - a martingale approach
... All the above discussion has been concerned with ML estimation for stochastic processes. There has recently appeared a discussion of maximum probability estimators (Weiss and Wolfowitz [1]) which ...
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Continuous stochastic processes
... It turns out that a very inclusive class of continuous otochastio processes nro characterized by a fundamental partial differential equation nnd 1 ts adjoint the Folckcr-Plan clc equatio[r] ...
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Population density equations for stochastic processes with memory kernels
... FIG. 12. (a) Firing rates of the QIF neuron with inputs from a (α,ν) distribution. Lines are calculated using our method, while markers are from Monte Carlo simulations of 10 000 neurons. The population has a time ...
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