Related papers: How many distribution functions are there? Bracket…
This paper was withdrawn by the authors.
This paper has been withdrawn by the authors, due an error involving the weak* convergence argument in section 2
We present estimators for entropy and other functions of a discrete probability distribution when the data is a finite sample drawn from that probability distribution. In particular, for the case when the probability distribution is a joint…
This paper has been withdrawn by the authors due to an error in the main theorem.
This paper has been withdrawn by the author due to essential mistakes in some previous versions.
We present some new and explicit error bounds for the approximation of distributions. The approximation error is quantified by the maximal density ratio of the distribution $Q$ to be approximated and its proxy $P$. This non-symmetric…
Paper has been withdrawn due to a critical error in the numerical evaluation of the capture fraction.
This paper has been withdrawn by the author.
This results in this paper have been merged with the result in arXiv:1003.0167. The authors would like to withdraw this version. Please see arXiv:1008.5356 for the merged version.
This paper has been withdrawn by the author due to a mistake in the proof of the main theorem.
This paper had been withdrawn because the prime reported effect had not been confirmed in further investigations (see arXiv:0812.4488 [hep-lat]).
The bound derived in the submission (subsequently published in J. Fluid Mechanics vol 808 p 562-575, 2016) with the above title is incorrect. This corrigendum explains why and also why there can not be any quick fix.
Withdrawn due to error. See D. Lowe, L. Susskind and J. Uglum, hep-th/9402136, for correct treatment. Apologies to all recipients.
This paper is currently withdrawn and is being revised by the authors.
In this paper we point out that the commonly used error bound in the theory of radial basis functions contains an important error. It doesn't apply for derivatives. Thus one should be very careful when dealing with differential equations.
This paper has been withdrawn by the authors, due an error in Bethe Ansatz equations (16).
An often-cited fact regarding mixing or mixture distributions is that their density functions are able to approximate the density function of any unknown distribution to arbitrary degrees of accuracy, provided that the mixing or mixture…
This paper has been withdrawn by the author due to an error.
The paper has been withdrawn due to an error in the main theorem.
This paper has been withdrawn by the author due to a crucial sign error.