3,820 research outputs found
A multi-candidate electronic voting scheme with unlimited participants
In this paper a new multi-candidate electronic voting scheme is constructed
with unlimited participants. The main idea is to express a ballot to allow
voting for up to k out of the m candidates and unlimited participants. The
purpose of vote is to select more than one winner among candidates. Our
result is complementary to the result by Sun peiyong s scheme, in the sense,
their scheme is not amenable for large-scale electronic voting due to flaw of
ballot structure. In our scheme the vote is split and hidden, and tallying is
made for encoding in decimal base without any trusted third
party, and the result does not rely on any traditional cryptography or
computational intractable assumption. Thus the proposed scheme not only solves
the problem of ballot structure, but also achieves the security including
perfect ballot secrecy, receipt-free, robustness, fairness and
dispute-freeness.Comment: 6 page
A test for model specification of diffusion processes
We propose a test for model specification of a parametric diffusion process
based on a kernel estimation of the transitional density of the process. The
empirical likelihood is used to formulate a statistic, for each kernel
smoothing bandwidth, which is effectively a Studentized -distance between
the kernel transitional density estimator and the parametric transitional
density implied by the parametric process. To reduce the sensitivity of the
test on smoothing bandwidth choice, the final test statistic is constructed by
combining the empirical likelihood statistics over a set of smoothing
bandwidths. To better capture the finite sample distribution of the test
statistic and data dependence, the critical value of the test is obtained by a
parametric bootstrap procedure. Properties of the test are evaluated
asymptotically and numerically by simulation and by a real data example.Comment: Published in at http://dx.doi.org/10.1214/009053607000000659 the
Annals of Statistics (http://www.imstat.org/aos/) by the Institute of
Mathematical Statistics (http://www.imstat.org
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