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Random scale factors and flow time

Matter as a Flow of Random Elementary Events in the Context of Discrete Time

Matter as a Flow of Random Elementary Events in the Context of Discrete Time

... is time: Discrete set or continuum? The problem remains to be ...continual time. However, ideas of discrete time are still popular subject of dis- cussion [1] [2] [3] [4] ...of time moments. ...

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Time-to-infection by Plasmodium falciparum is largely determined by random factors

Time-to-infection by Plasmodium falciparum is largely determined by random factors

... affecting time-to-initiation (of blood- stage ...the time from infection to detection. Our modelling of time-to-infection (Figure 6) reveals an inherent limitation of using such approaches to study ...

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Extremal dependence of random scale constructions

Extremal dependence of random scale constructions

... bivariate random vector can exhibit either asymptotic independence or dependence between the largest values of its ...a random scale construction (X 1 , X 2 ) = R(W 1 , W 2 ), with non-degenerate R > ...

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Introduction to random fields and scale invariance

Introduction to random fields and scale invariance

... 23. P. F. Craigmile. Simulating a class of stationary Gaussian processes using the Davies-Harte algorithm, with application to long memory processes. J. Time Ser. Anal., 24(5):505–511, 2003. 24. Robert Dalang, ...

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Random Flow Network Modeling and Simulations

Random Flow Network Modeling and Simulations

... in scale and topological complexity between the Internet and the small-scale networks simulated, the authors believe the randomness-based design is critical in obtaining meaningful results that characterize ...

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Treewidth of Erdős–Rényi random graphs, random intersection graphs, and scale-free random graphs

Treewidth of Erdős–Rényi random graphs, random intersection graphs, and scale-free random graphs

... Barabási–Albert scale-free random graph Following the formal definition given in [10], the Barabási–Albert random graph G S ( n , m ) on a set of n vertices V = { v 1 , ...

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The random-time binomial model

The random-time binomial model

... Unfortunately, as the functional form of the early-exercise boundary is un- known, it is not feasible to place nodes on it. We address the problem here from an entirely di!erent perspective and try to smooth variations ...

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Scale effect on overland flow connectivity at the plot scale

Scale effect on overland flow connectivity at the plot scale

... be scale-dependent, extra attention must be paid in order to select an appropriate size of the grid ...length scale (Julien and Moglen, 1990) that could serve to de- termine the grid cell scale in ...

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Pricing of Defaultable Bonds with Random Information Flow

Pricing of Defaultable Bonds with Random Information Flow

... market factors and independent ...information flow rate random, we obtain an elementary stochastic volatility model within the information-based ...information flow rates are rarely ...

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Time homogeneous diffusions with a given marginal at a random time

Time homogeneous diffusions with a given marginal at a random time

... where (W t ) is a Brownian motion. The process (X t ) is a diffusion on natural scale described by its speed measure m(dx) = σ(x) −2 dx. When μ is less regular, the interpretation of m as a speed measure remains ...

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ON THE TIME SCALE OF DAYS

ON THE TIME SCALE OF DAYS

... The absence of superhumps turns the quest for variations related to the beat between orbit and superhump obsolete. Even so, the combined light curve (upper frame of Fig. 2) contains systematic night-to-night variations ...

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The flow experience: a Rasch analysis of Jackson's Flow State Scale

The flow experience: a Rasch analysis of Jackson's Flow State Scale

... understand flow, incorporating both qualitative and quantitative ...the flow experience and relating these dimensions to other psychological ...36-item Flow State Scale (FSS) and used ...

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Large-scale Clustering using Random Sketching and Validation

Large-scale Clustering using Random Sketching and Validation

... required time in ...the time required by Algs. 2.3 and 2.4 is significantly less than the time required by the “full” and “approximate kernel ...

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The protective factors for resilience scale (PFRS): Development of the scale

The protective factors for resilience scale (PFRS): Development of the scale

... PUBLIC INTEREST STATEMENT Resilience is a topic many people are interested in. We hear the word talked about in the media all the time. Generally, we think we understand what the word means but when you look at ...

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Time Scale and Fractionality in Financial Time Series

Time Scale and Fractionality in Financial Time Series

... the random walk hypothesis as a result of failing to explicitly adjust for heteroskedasticity and non- normality of innovations, so the new procedure presented here represents a step forward in consolidated ...

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Time-Scale Transformations of Discrete-Time Processes

Time-Scale Transformations of Discrete-Time Processes

... Conclusions Time scale transformations are quite common, since there is often a mismatch between the generation and the collection of the ...standard time series ...over time, perhaps because ...

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Random walks and search in time-varying networks

Random walks and search in time-varying networks

... the random walk process on time varying networks as follows: at each time step t the network G t is generated, and the walker diffuses for a time ...at time t + ∆t, a new network G t+∆t ...

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Packing tree factors in random and pseudo-random graphs

Packing tree factors in random and pseudo-random graphs

... Theorem 2. Let T be a fixed tree with t vertices. If , n, and p satisfy  4 np  log 2 n, then G n,p , with n a multiple of t, satisfies P() whp. This range of p ( log n 2 n ) is still probably not optimal, and in the ...

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Multi scale random field simulation program

Multi scale random field simulation program

... The program is run from the main file, main_nmax_multiscale.m, after all variables have been defined and subdivide.txt has been created. The variables are initially set to create a simulated sample similar to figure 1. ...

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Distance sampling with a random scale detection function

Distance sampling with a random scale detection function

... Table 1: Percent relative bias (PRB) and root mean square error (RMSE) as proportion of true abundance for random scale half-normal and hazard rate detection function models for distance[r] ...

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