Results 101 to 110 of about 7,698 (239)
The Approximate Message Passing (AMP) algorithm efficiently reconstructs signals which have been sampled with large i.i.d. sub-Gaussian sensing matrices.
Charles Millard +3 more
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Bounds on Negative Binomial Approximation to Call Function
In this paper, we develop Stein's method for negative binomial distribution using call function defined by fz(k) = (k - z)+ = max{k - z, 0}, for k ≥ 0 and z ≥ 0.
Amit N. Kumar
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This paper provides an introduction to the Stein method framework in the context of steady-state diffusion approximations. The framework consists of three components: the Poisson equation and gradient bounds, generator coupling, and moment bounds ...
Anton Braverman, J. G. Dai, Jiekun Feng
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In this paper, methods to estimate the number of basis vectors of the nonnegative matrix factorization (NMF) of automatic music transcription (AMT) systems are proposed.
Seokjin Lee
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Stein’s method for discrete Gibbs measures
Published in at http://dx.doi.org/10.1214/07-AAP0498 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Eichelsbacher, Peter, Reinert, Gesine
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Point processes in time and stein's method [PDF]
This article gives an upper bound for a Wasserstein distance between the distribution of a simple point process and that of a Poisson process on the positive half line.
Barbour, A D +2 more
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Stein's method and point process approximation
By using the Stein-Chen method an upper bound for the total variation \(d_{TV}({\mathcal L}(\Xi),Po(\lambda))\) between the distribution \({\mathcal L}(\Xi)\) of a simple point process \(\Xi\) on a compact, second countable Hausdorff space \(\Gamma\) and the distribution \(Po(\lambda)\) of a Poisson process on \(\Gamma\) with mean measure \(\lambda ...
Barbour, A D, Brown, T C
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A nonuniform local limit theorem for Poisson binomial random variables via Stein’s method
We prove a nonuniform local limit theorem concerning approximation of the point probabilities P ( S = k ) $P(S=k)$ , where S = ∑ i = 1 n X i $S=\sum_{i=1}^{n}X_{i}$ , and X 1 , … , X n $X_{1},\ldots ,X_{n}$ are independent Bernoulli random variables with
Graeme Auld, Kritsana Neammanee
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Approximations related to tempered stable distributions
In this article, we first obtain, for the Kolmogorov distance, an error bound between a tempered stable and a compound Poisson distribution (CPD) and also an error bound between a tempered stable and an α-stable distribution via Stein’s method.
Kalyan Barman +2 more
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EDITH STEIN AS A MEMBER OF THE “GOTTINGEN CIRCLE”
The article proposes historical and philosophical inquiry of Edit Stein’s participation in the Gottingen Circle. Firstly, the author analyses such biographical source as correspondence, autobiography, philosophical review, etc.
Інна Савинська
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