7,677 research outputs found
Observed Range Maximum Likelihood Estimation
The idea of maximizing the likelihood of the observed range for a set of
jointly realized counts has been employed in a variety of contexts. The
applicability of the MLE introduced in [1] has been extended to the general
case of a multivariate sample containing interval censored outcomes. In
addition, a kernel density estimator and a related score function have been
proposed leading to the construction of a modified Nadaraya-Watson regression
estimator. Finally, the author has treated the problems of estimating the
parameters of a mutinomial distribution and the analysis of contingency tables
in the presence of censoring.Comment: censored multivariate data, contingency tables with incomplete
counts, nonparametric density estimation, nonparametric regressio
Limits on Fundamental Limits to Computation
An indispensable part of our lives, computing has also become essential to
industries and governments. Steady improvements in computer hardware have been
supported by periodic doubling of transistor densities in integrated circuits
over the last fifty years. Such Moore scaling now requires increasingly heroic
efforts, stimulating research in alternative hardware and stirring controversy.
To help evaluate emerging technologies and enrich our understanding of
integrated-circuit scaling, we review fundamental limits to computation: in
manufacturing, energy, physical space, design and verification effort, and
algorithms. To outline what is achievable in principle and in practice, we
recall how some limits were circumvented, compare loose and tight limits. We
also point out that engineering difficulties encountered by emerging
technologies may indicate yet-unknown limits.Comment: 15 pages, 4 figures, 1 tabl
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