Computational statistics a

  • Computational Statistics- Probability concepts, Sampling Concepts, Generating Random Variables, Exploratory Data Analysis, Monte Carlo Methods for Inferential Statistics, Data Partitioning, Probability Density Estimation, Statistical Pattern Recognition, Nonparametric Regression.
Computational statistics is a branch of mathematical sciences concerned with efficient methods for obtaining numerical solutions to statistically formulated problems.
Computational Statistics is an international journal fostering applications and methodological research in computational statistics and data science.Aims and scopeEditorsJournal updates
The term 'Computational statistics' may also be used to refer to computationally intensive statistical methods including resampling methods, Markov chain MonteĀ  HistoryMethodsReferencesFurther reading

Academic journal

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.
Established in 1992, the journal covers the use of computational and graphical methods in statistics and data analysis, including numerical methods, graphical displays and methods, and perception.
It is published jointly with the Institute of Mathematical Statistics and the Interface Foundation of North America.
According to the Journal Citation Reports, the journal has a 2021 impact factor of 1.884.
Wiley Interdisciplinary Reviews: Computational Statistics is a review journal for computational and statistical techniques in the sciences, from the perspectives of both computation and statistics.
It contain both tutorial reviews and advanced reviews, as well as opinion pieces and commentaries.

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On the computational and statistical complexity of over-parameterized matrix sensing
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