Results 61 to 70 of about 111,320 (118)

Computer Science And Statistics

Proceedings of the 1978 annual conference on - ACM 78, 1978
This paper develops a theme about a specific, small part of the interface between computer science and statistics - that of kernels of computation. Currently, because of an impending technology revolution, it is important that statisticians and numerical mathematicians take interest in this field.
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The Future of Statistical Computing

Technometrics, 2008
This article forecasts the path of statistical computing in the next decade. Its premise is that technology will influence statistical computing more than other factors. This forecast is based on contemporary observations of the field over the last 40 years and on a supposition that extrapolating these trends is not unreasonable. The technology driving
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Computational and statistical indistinguishabilities

1992
We prove that a pair of polynomially samplable distributions are statistically indistinguishable if and only if no polynomial size circuits relative to NP sets (P nu NP -distinguishers) can tell them apart. As one application of this observation, we classify “zero-knowledge” notions that are used for interactive systems.
Kaoru Kurosawa, Osamu Watanabe 0001
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Environment for statistical computing

Computer Science Review, 2008
This paper is a short exposition on the current state of art as far as statistical software is concerned. The main aims are to take a look at current tendencies in information technologies for statistics and data analysis, especially for describing selected programs and systems. We start with statistical packages, i.e. a suite of computer programs that
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Parallel Statistical Computing for Statistical Inference

Journal of Statistical Theory and Practice, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Statistics in the computer age: personal reflections

Computational Statistics, 2011
It is a trivial observation that the computers have changed the way statistics is practiced. But has it also changed the theory of statistics and the way we teach it? I think yes—even if the changes appear to be surprisingly small in some contexts. This is an attempt to give a more detailed answer, based on experiences from my own corner of the world ...
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Computation of the Molenaar Sijtsma Statistic

2009
The Molenaar Sijtsma statistic is an estimate of the reliability of a test score. In some special cases, computation of the Molenaar Sijtsma statistic requires provisional measures. These provisional measures have not been fully described in the literature, and we show that they have not been implemented in the software.
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A Survey on Over-the-Air Computation

IEEE Communications Surveys and Tutorials, 2023
Alphan Şahin, Rui Yang
exaly  

Geometric and holonomic quantum computation

Physics Reports, 2023
Jiang Zhang, Thi Ha Kyaw, S Filipp
exaly  

Computational Statistics

Technometrics, 2006
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