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36 relations: Algorithmic inference, Artificial neural network, Bootstrapping (statistics), Communications in Statistics, Computational science, Computational Statistics & Data Analysis, Computational Statistics (journal), Computer, Computer science, Data set, Deborah A. Nolan, Edward Wegman, Free statistical software, Generalized additive model, International Association for Statistical Computing, Journal of Computational and Graphical Statistics, Journal of Statistical Computation and Simulation, Journal of Statistical Software, Kernel density estimation, Knowledge, List of statistical packages, Local regression, Machine learning, Markov chain Monte Carlo, Monte Carlo method, Raw data, Resampling (statistics), Sample size determination, Sic, Statistical classification, Statistics, Statistics and Computing, Statistics education, The American Statistician, The R Journal, Wiley Interdisciplinary Reviews: Computational Statistics.
Algorithmic inference
Algorithmic inference gathers new developments in the statistical inference methods made feasible by the powerful computing devices widely available to any data analyst.
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Artificial neural network
Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains.
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Bootstrapping (statistics)
In statistics, bootstrapping is any test or metric that relies on random sampling with replacement.
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Communications in Statistics
Communications in Statistics is a peer-reviewed scientific journal that publishes papers related to statistics.
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Computational science
Computational science (also scientific computing or scientific computation (SC)) is a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems.
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Computational Statistics & Data Analysis
Computational Statistics & Data Analysis is a monthly peer-reviewed scientific journal covering research on and applications of computational statistics and data analysis.
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Computational Statistics (journal)
Computational Statistics is a quarterly peer-reviewed scientific journal that publishes applications and research in the field of computational statistics, as well as reviews of hardware, software, and books.
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Computer
A computer is a device that can be instructed to carry out sequences of arithmetic or logical operations automatically via computer programming.
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Computer science
Computer science deals with the theoretical foundations of information and computation, together with practical techniques for the implementation and application of these foundations.
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Data set
A data set (or dataset) is a collection of data.
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Deborah A. Nolan
Deborah A. Nolan is an American statistician and statistics educator.
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Edward Wegman
Edward Wegman is an American statistician and a professor of statistics at George Mason University.
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Free statistical software
Free statistical software is a practical alternative to commercial packages.
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Generalized additive model
In statistics, a generalized additive model (GAM) is a generalized linear model in which the linear predictor depends linearly on unknown smooth functions of some predictor variables, and interest focuses on inference about these smooth functions.
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International Association for Statistical Computing
The International Association for Statistical Computing (IASC) was founded during the 41st Session of the International Statistical Institute (ISI) in 1977, as a Section of the ISI.
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Journal of Computational and Graphical Statistics
The Journal of Computational and Graphical Statistics is a quarterly peer-reviewed scientific journal published by Taylor & Francis on behalf of the American Statistical Association.
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Journal of Statistical Computation and Simulation
Journal of Statistical Computation and Simulation is a peer-reviewed scientific journal that publishes papers related to computational statistics.
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Journal of Statistical Software
The Journal of Statistical Software is a peer-reviewed open access scientific journal that publishes papers related to statistical software.
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Kernel density estimation
In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable.
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Knowledge
Knowledge is a familiarity, awareness, or understanding of someone or something, such as facts, information, descriptions, or skills, which is acquired through experience or education by perceiving, discovering, or learning.
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List of statistical packages
Statistical software are specialized computer programs for analysis in statistics and econometrics.
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Local regression
LOESS and LOWESS (locally weighted scatterplot smoothing) are two strongly related non-parametric regression methods that combine multiple regression models in a ''k''-nearest-neighbor-based meta-model.
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Machine learning
Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.
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Markov chain Monte Carlo
In statistics, Markov chain Monte Carlo (MCMC) methods comprise a class of algorithms for sampling from a probability distribution.
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Monte Carlo method
Monte Carlo methods (or Monte Carlo experiments) are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results.
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Raw data
Raw data, also known as primary data, is data (e.g., numbers, instrument readings, figures, etc.) collected from a source.
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Resampling (statistics)
In statistics, resampling is any of a variety of methods for doing one of the following.
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Sample size determination
Sample size determination is the act of choosing the number of observations or replicates to include in a statistical sample.
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Sic
The Latin adverb sic ("thus", "just as"; in full: sic erat scriptum, "thus was it written") inserted after a quoted word or passage indicates that the quoted matter has been transcribed or translated exactly as found in the source text, complete with any erroneous or archaic spelling, surprising assertion, faulty reasoning, or other matter that might otherwise be taken as an error of transcription.
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Statistical classification
In machine learning and statistics, classification is the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known.
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Statistics
Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.
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Statistics and Computing
Statistics and Computing is a peer-reviewed academic journal that deals with statistics and computing.
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Statistics education
Statistics education is the practice of teaching and learning of statistics, along with the associated scholarly research.
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The American Statistician
The American Statistician is a quarterly peer-reviewed scientific journal covering statistics published by Taylor & Francis on behalf of the American Statistical Association.
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The R Journal
The R Journal is an online, open-access, refereed journal published by The R Foundation since 2009.
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Wiley Interdisciplinary Reviews: Computational Statistics
Wiley Interdisciplinary Reviews: Computational Statistics (WIREs Comp Stats) is a review journal for computational and statistical techniques in the sciences, from the perspectives of both computation and statistics.
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References
[1] https://en.wikipedia.org/wiki/Computational_statistics
