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Suppose an intermediary provides a benefit to buyers when they purchase from sellers using the intermediary's technology. We develop a model to show that the intermediary would want to restrict seller...
Suppose an intermediary provides a benefit to buyers when they purchase from sellers using the intermediary's technology. We develop a model to show that the intermediary will want to restrict sellers...
The risk of a financial position is usually summarized by a risk measure. As this risk measure has to be estimated from historical data, it is important to be able to verify and compare competing esti...
In this paper, we present coherence-based performance guarantees of Orthogonal Matching Pursuit (OMP) for both support recovery and signal reconstruction of sparse signals when the measurements are co...
The impact of inhibitory and excitatory synapses in delay-coupled Hodgkin--Huxley neurons that are driven by noise is studied. If both synaptic types are used for coupling, appropriately tuned delays ...
We propose a simple stochastic model which successfully explains the long coherence effects observed in photosynthetic Excitation Energy Transport (EET) by 2D photon echo experiments of G. S. Engel et...
Kernel density estimation (KDE) is a popular statistical technique for estimating the underlying density distribution with minimal assumptions. Although they can be shown to achieve asymptotic estimat...
Testing covariance structure is of significant interest in many areas of statistical analysis and construction of compressed sensing matrices is an important problem in signal processing. Motivated b...
Orientation: This article reports on a quantitative-relational study addressing the impact of sense of coherence (SOC), which is a psychological-wellness construct, on the financial-health profile of ...
Coherence and phase synchronization between time series corresponding to different spatial locations are usually interpreted as indicators of theconnectivity” between locations. In neurophysiology...
We consider the problem of estimating a deterministic sparse vector x0 from underdetermined measurements Ax0 + w, where w represents white Gaussian noise and A is a given deterministic dictionary. ...
In this contribution to the discussion of Th case for objective Bayesian analysis by James Berger and Sujective Bayesian analysis: princi- ples and practice by Michael Goldstein, I argue that (a) al...
Coherence, Bayes’s Theorem and Posterior Distributions。
The paper aims at integrating the Lachmannian concept of institutional coherence and flexibility into the Austrian, entrepreneurial theory of economic growth. Using this as a general framework toget...
The paper tackles the problem of deriving a topological structure among stock prices from high frequency historical values. Similar studies using low frequency data have already provided valuable insi...

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