[PDF] Top 20 A stochastic marked point process model for earthquakes
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A stochastic marked point process model for earthquakes
... alog may very well impose difficulties. The next step for test- ing and further development of the model is therefore clearly to extend the test catalog with data prior to 1932. However, since the quality of data ... See full document
7
Stochastic modelling and maintenance optimization of systems subject to deterioration
... Finally, in the last section, using Marked point process see Aven and Jensen 4, with ,the same approa~h as Chapter 4 a new decision model for maintenance scheduling deteriorating systems[r] ... See full document
176
A stochastic rupture earthquake code based on the fiber bundle model (TREMOL v0.1): application to Mexican subduction earthquakes
... ular model representing this process was proposed by Bak and Tang (1989) and is well-known as the “sand pile ...bundle model, FBM, is one of those models that has been used to reproduce many basic ... See full document
23
On functionals of a marked Poisson process observed by a renewal process
... Poisson marked process Π observed by a re- newal ...various stochastic models appli- cations (such as queueing with N-policy combined with multiple vacations), it is necessary to operate with the ... See full document
10
Stochastic Geometry Analysis of Ultra Dense Network and TRSC Green Communication Strategy
... Poisson point process of stochastic geometry theory, and derived SINR distribution and average rate of cooperative users and non-cooperative ... See full document
5
M≥ 6 events, considering ground motions originate from an
... selected earthquakes in Italy, New Zealand and Turkey; Calculation of Fourier acceleration spectra and the closest rupture distances for ground motions studied in Chapter 2; Compilation of seismological parameters ... See full document
175
An autoregressive point source model for spatial process
... error process is driven more by mathematical convenience than by reality, and more practitioners are choosing to replace this convenient assump- tion with the more realistic assumption of nonstationarity; see, for ... See full document
32
Exact Simulation of Jump Diffusion Processes with Monte Carlo Applications
... jump process appropriately, we can generate a very wide variety of dynamics incorporating relevant empirically observed effects that otherwise would not be explained by traditional diffusion-based ...the ... See full document
32
Drift term and vertex point in single factor interest rate model
... a stochastic differential equation in the form of the Ornstein-Uhlenbeck process, the drift term that is obtained plays a crucial role in determining the vertex point of monetary ...vertex ... See full document
7
Sensitivity analysis for casting process under stochastic modelling Pages 419-432 Download PDF
... casting process can be predicted by using the concept of ...availability point of view and also demonstrated the application of such important measures for achieving optimal resource allocation to arrive at ... See full document
14
Steering Social Activity: A Stochastic Optimal Control Point Of View
... The “activity shaping” problem was first studied by Farajtabar et al. (2015a), who de- rived a time dependent linear relation between the intensity of exogenous actions and the overall intensity of actions in a social ... See full document
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Baseball scouting reports via a marked point process for pitch types
... batter’s point of view, the location of a pitch is a random event that occurs from the pitcher’s unique point ...this process would be valuable because both the pitcher and hitters can gain ... See full document
26
Stability of Stochastic Logistic Model with Ornstein Uhlenbeck Process for Cell Growth of Microorganism in Fermentation Process
... Fermentation process converts sugar into alcohol with the help of yeast ...logistic model to elaborate the cell growth of Clostridium acetobutylicum ...fermentation process proposed by Verhulst ... See full document
17
Stochastic Geometry for Vehicular Networks
... Poisson point process (PPP) has been the most widely used spatial model in the analysis of wireless ...to model the locations of wireless nodes by a homogeneous 2D PPP and focus on the ... See full document
215
A Stochastic SIVS Epidemic Model Based on Birth and Death Process
... new stochastic epidemic model, that is, a general continuous time birth and death chain model, is formulated based on a deterministic model including ...the stochastic model and ... See full document
12
Modelling the statistical dependence of rainfall event variables through copula functions
... The choice of the threshold values strongly affects the sta- tistical properties of the derived samples (Bacchi et al., 2008) and it must be carried out very carefully. A lot of works were dedicated to this argument ... See full document
19
Stochastic process model for timber-concrete composite beam deterioration
... for some physical constants c > 0, b > 0 and θ > 0. There is often engineering knowledge available about the shape of the expected deterioration in terms of the parameter b, so that this parameter may be assumed ... See full document
8
Stochastic model for manpower planning with multiple depletions
... A stochastic model to determine the expected time to recruit with four sources of reduction of manpower wastage using correlated interarrival time is discussed in this ...this Stochastic model ... See full document
21
Protein Structure Prediction Using Stochastic Process Probabilistic Model
... Bioinformatics is the application of computer technologies in the field of biological information. Due to the rapid advancement in computer technology it is now easier to process various type of biological ... See full document
5
Modeling of Stochastic Processes in Lp(T) Using Orthogonal Polynomials
... of stochastic processes it is vital to construct the model of the studied ...the model of a stochastic process is to represent that process as the infinite series with respect to ... See full document
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