main webpage W Topic Data Mining Statistics and Its Interface • Vol 17 • No 4 A double regression method for graphical modeling of high-dimensional nonlinear and non-Gaussian data 2024 Graphical models have long been studied in statistics as a tool for inferring conditional independence relationships among a large set of random variables. The most existing works in graphical modeling focus on the cases that the data are Gaussian or mixed an… Article Open Data Mining Open Article Page

Data Mining

Process of extracting and discovering patterns in large data sets Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Critical Symbolic Virtual Narrative Open Data Mining Open Article Page

Exploring foci of: Statistics and Its Interface • Vol 17 • No 4 A double regression method for graphical modeling of high-dimensional nonlinear and non-Gaussian data 2024 Graphical models have long been studied in statistics as a tool for inferring conditional independence relationships among a large set of random variables. The most existing works in graphical modeling focus on the cases that the data are Gaussian or mixed and the variables are linearly dependent. In this paper, we propose a double regression method for learning graphical models under the high-dimensional nonlinear and non-Gaussian setting, and prove that the proposed method is consistent under mild conditions. Th… Open Article Page

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Explore Data Mining W Topic Data Mining Statistics and Its Interface • Vol 17 • No 4 A double regression method for graphical modeling of high-dimensional nonlinear and non-Gaussian data 2024 Graphical models have long been studied in statistics as a tool for inferring conditional independence relationships among a large set of random variables. The most existing works in graphical modeling focus on the cases that the data are Gaussian or mixed an… Article Critical Symbolic Virtual Narrative Open Data Mining Open Article Page