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Coalescing Random Walk and Glauber Model 27

On the Pfaffian property of annihilating random walk and coalescing random walk

On the Pfaffian property of annihilating random walk and coalescing random walk

... annihilating random walk and coalescing random ...lating random walk to Glauber model and employing empty interval method respectively, we prove there is a similar ...

121

Metastability for Glauber dynamics on random graphs

Metastability for Glauber dynamics on random graphs

... Moreover, we need to capture the metastable behaviour for a generic realisation of the random graph. In Section 1.1, we define the Ising model on a random multigraph subject to Glauber ...

29

Random walk on the range of random walk

Random walk on the range of random walk

... of random walk paths has previously been investigated by physicists, with one motivation for doing so being its application to the study of the transport properties of sedimentary rocks of low porosity, ...

26

A Random Walk–Based Model for Identifying Semantic Orientation

A Random Walk–Based Model for Identifying Semantic Orientation

... Markov random walk model to a large word relatedness graph, and produces a polarity estimate for any given ...The model can accurately and quickly assign a polarity sign and magnitude to any ...

24

The Random Walk Model in the Pakistani Equity market: An Examination

The Random Walk Model in the Pakistani Equity market: An Examination

... autoregressive model, and employing the Kalman Filter technique, the author attempts to determine the time-varying behaviour of monthly expected returns and finds expected returns to be constant and equal to ...

23

The Random Walk Model in the Pakistani Equity Market: An Examination

The Random Walk Model in the Pakistani Equity Market: An Examination

... autoregressive model, and employing the Kalman Filter technique, the author attempts to determine the time- varying behaviour of monthly expected returns and finds expected returns to be constant and equal to ...

20

A one-dimensional random-walk model for polymer chain

A one-dimensional random-walk model for polymer chain

... A one-dimensional random-walk model for polymer chain Consider a chain consisting of N segments each of length 1 (one). Assume that the x-axis is in the direction of the chain, and let us place the ...
Forecasting an ARIMA (0,2,1) using the random walk model with drift

Forecasting an ARIMA (0,2,1) using the random walk model with drift

... in model (1) gives a stationary random normal process, where data will fluctuate around a horizontal level located at μ, with constant over time variance equals to  2  ...the random walk ...

22

Recurrence of a modified random walk and its application to an economic model

Recurrence of a modified random walk and its application to an economic model

... Salant shows that in any period, the market price which induces profit-seeking speculators and the government to sell exactly what consumers demand can be written as a decreasing functio[r] ...

5

A Random Walk Model for Item Recommendation in Social Tagging Systems

A Random Walk Model for Item Recommendation in Social Tagging Systems

... several model-based algorithms for tag-based recommendation have been proposed for tag-based CF ...(PLSA) model capturing both the item-user and item-tag co-occurrence information for ...HOSVD model ...

26

The Random Walk Model in the Karachi Stock Market: An Empirical Investigation

The Random Walk Model in the Karachi Stock Market: An Empirical Investigation

... of random walk in KSE-100 index and all selected ...of random walk components in stock prices does not necessary implies that stock returns are ...of random walk for all holding ...

17

Slow movement of a random walk on the range of a random walk in the presence of an external field

Slow movement of a random walk on the range of a random walk in the presence of an external field

... Biased random walk on the range of simple random walk The goal of this section is to develop the techniques of the previous section to deduce results about the biased random walk ...

21

Mixing of the Glauber dynamics for the ferromagnetic Potts model.

Mixing of the Glauber dynamics for the ferromagnetic Potts model.

... the Glauber dynamics for sampling from the Gibbs distribution in the ferromagnetic Potts ...that Glauber dynamics is rapidly mixing if at least L colours are ...the Glauber dynamics mixes slowly on ...

33

Multi point correlations for two dimensional coalescing random walks

Multi point correlations for two dimensional coalescing random walks

... emergence of Smoluchowski’s reaction rate and the anomalous dimensions of the composite field operators to predict the correct decay law (2). One of the aims of the present work is thus to provide a rigorous proof of ...

27

Random walk attachment graphs

Random walk attachment graphs

... this model and its generalisations is that this implicitly requires a calculation across all the existing vertices, or at least a knowledge of the total degree (sum of the vertex degrees) of the ...this ...

7

IRWR:Incremental Random Walk with Restart

IRWR:Incremental Random Walk with Restart

... 5. CONCLUSIONS We showed how RWR proximities can be computed very efficiently in an incremental update model, where the edges of a graph are constantly changed. We also empirically eval- uated that IRWR greatly ...

5

A Random Walk in Physical Biology

A Random Walk in Physical Biology

... physical model that combines membrane elastic properties with the structure of a typical membrane protein, we show that the membrane can commu- nicate structural and hence conformational information between ...

194

Group walk random graphs

Group walk random graphs

... geometric random graphs compared to the ER model is that they can approximate real-life networks much more realistically, but they are also of great theoretical interest given the impact of the ER ...

14

How to Beat the Random Walk

How to Beat the Random Walk

... (three to four years) using monetary models. The length of the forecasting horizon appears to be crucial for the results in terms of the forecasting accuracy of exchange rate models. Macroeconomic fundamentals have ...

24

On the centre of mass of a random walk.

On the centre of mass of a random walk.

... Theorem 1.6. Suppose that d = 1 and (L) holds, i.e., P(X ∈ b + hZ) = 1 for b ∈ R and h > 0 maximal. Suppose also that (S) holds. Then lim inf n→∞ G n = −∞, lim sup n→∞ G n = +∞, and lim n→∞ |G n | = ∞. Remark 1.7. The ...

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