[PDF] Top 20 Model Diatom Population by Branching Stochastic Processes
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Model Diatom Population by Branching Stochastic Processes
... chl-a contained in it [6, 8]. In the considered BPBH it is impossible simultaneous birth, death and offspring-production of the particle. Every particle is of zero age at birth. This allows the use of some basic theorems ... See full document
6
Stochastic monotonicity and continuity properties of functions defined on Crump Mode Jagers branching processes, with application to vaccination in epidemic modelling
... the population, the infectious period is very short in comparison with the incubation period, so, as indicated previously, we assume that transmission occurs only at the end point of an individual’s incubation ... See full document
27
Population density equations for stochastic processes with memory kernels
... solving population density equations (PDEs)—a mean-field technique describing homogeneous populations of uncoupled neurons—where the populations can be subject to non-Markov noise for arbitrary distributions of ... See full document
11
Decomposition of Supercritical Linear Fractional Branching Processes
... basic model for the stochastic dynamics of the size of a population formed by independently reproducing partic- ...multi-type branching processes is ... See full document
8
Laws of Large Numbers and Langevin Approximations for Stochastic Neural Field Equations
... microscopic stochastic mod- els of neural ...per population tend to ...different stochastic convergence concepts, ...a stochastic differential equation taking values in a Hilbert space, which ... See full document
54
A stochastic model dissects cell states in biological transition processes
... our model with a classical ...our model involves aggregation of single-cell level Markov chains, thus it deals with states that are not only hidden, but whose connection to population-level observa- ... See full document
10
Random sums of random vectors and multitype families of productive individuals
... a model of branching process can be represented as a random sum has been ...of branching models makes it possible to investigate new variables related to the genealogy of the process to study more ... See full document
16
Conditional Processes Induced by Birth and Death Processes
... as stochastic models in various fields is that of birth and death ...fundamental stochastic models in population genetics called Moran model we will consider this model in Section ... See full document
24
Computational Models of the NF- B Signalling Pathway
... deterministic model, which modified the core network of IKK-NF-κB-IκBα and the A20 inhibitor, which was able to replicate that, was the basis for Lipniacki et ...the population-level, using a single ... See full document
28
Ventilation systems failure prediction on the basis of the stochastic branching processes mathematical model
... of stochastic branching processes should refer to assembly units of ventilation ...type. Stochastic branching process is multidimensional, its state is described by a random vector ... See full document
7
Stochastic processes in population genetics
... s model is generalized so that selective advantages may depend themselves on gene ...genetical model of Wright (l95l)^ for which very few exact results have been ... See full document
199
Evolutionary Branching in a Finite Population: Deterministic Branching vs. Stochastic Branching
... “evolutionary branching.” Most previous analyses of evolutionary branching have been conducted in an infinitely large ...the population size on evolutionary ...evolutionary branching as the one ... See full document
13
STOCHASTIC MODELING OF BRANCHING PROCESS USED IN INSURANCE COMPANIES
... A Branching process is a mathematical description of the growth of a population for which the individual produces off-springs according to stochastic ...The Branching process was proposed by ... See full document
14
Zipf's and Taylor's laws
... Formally, a random variable follows Zipf’s law if its probability density function is a power law with expo- nent −2. Evidence for Zipf’s law has been found in many and diverse empirical domains, including systems where ... See full document
7
The continuity and estimates of a solution to mixed fractional constant elasticity of variance system with stochastic volatility and the pricing of vulnerable options
... The mixed fractional Brownian motion is a stochastic process with long memory and plays an important role in the financial modeling. To better understand the rest of the paper, we briefly review some basic concepts ... See full document
17
Models for the analysis of tunnelling construction processses
... construction processes for this type of ...handling processes (horizontal and vertical) are considered to be non critical time ...these processes are considered to be non critical in calculating the ... See full document
185
Steering Social Activity: A Stochastic Optimal Control Point Of View
... a model of actions based on multidimen- sional Hawkes processes and, exploiting this connection, developed a convex optimization framework for activity ... See full document
35
Stochastic processes and antiderivational equations on non Archimedean manifolds
... of stochastic processes on non- Archimedean manifolds as well as more general classes of stochastic processes on non-Archimedean Banach spaces and totally disconnected topological ... See full document
19
Reliability and Availability Analysis of a Dissimilar Units Cold Standby System with Repair or Replacement of Degraded Unit after Inspection
... a stochastic model of a cold standby system is ...semi-Markov processes are used to investigate the model at different regenerative ... See full document
8
An investigation of cognitive 'branching' processes in major depression
... the branching condition and those leading up to it in MDD was equiva- lent to the control ...in branching processes is accompanied by abnormal activity or metabolism in the anterior prefrontal cortex ... See full document
9
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