A study is made of certain properties of an approximation to the regression line on the basis of sampling data when the sample size increases unboundedly.
Theory of Probability and Its Applications Template
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About the Theory of Probability and Its Applications format
Theory of Probability and Its Applications is a peer-reviewed journal published by SIAM, covering Stochastic processes and financial applications, advanced mathematical theories, Probability and Risk Models. Over its lifetime it has published 5,321 papers, which have received 83,049 citations.
| Publisher | SIAM |
|---|---|
| Reference style | Numbered (SIAM) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, A representative article title, Theory of Probability and Its Applications 12 (2023) 45–58.
Formats any DOI in the closest standard style — Theory of Probability and Its Applications has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Stochastic processes and financial applications advanced mathematical theories Probability and Risk Models Stochastic processes and statistical mechanics Bayesian Methods and Mixture Models |
| ISSN | 0040-585X |
| Citation impact (2-yr) | 0.61 |
| h-index | 107 |
| i10-index | 1,456 |
| Top institutions publishing here | National Research University Higher School of Economics |
| Journal website | www.siam.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Theory of Probability and Its Applications per year
Citation impact of Theory of Probability and Its Applications by publication year
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Most-cited papers in Theory of Probability and Its Applications
Previous article Next article Non-Parametric Estimation of a Multivariate Probability DensityV. A. EpanechnikovV. A. Epanechnikovhttps://doi.org/10.1137/1114019PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] Emanuel Parzen, On estimation of a probability density function and mode, Ann. Math. Statist., 33 (1962), 1065–1076 MR0143282 0116.11302 CrossrefGoogle Scholar[2] Murray Rosenblatt, Remarks on some nonparametric estimates of a density function, Ann. Math.…
The convergence of stochastic processes is defined in terms of the so-called “weak convergence” (w. c.) of probability measures in appropriate functional spaces (c. s. m. s.). Chapter 1. Let $\Re $ be the c.s.m.s. and v a set of all finite measures on $\Re $. The distance $L(\mu _1 ,\mu _2 )$ (that is…
Let us consider a sequence of processes $\xi _n (t)$ such that the multivariate distribution of $\xi _n (t_1 ),\xi _n (t_2 ), \cdots ,\xi _n (t_k )$ tends to the multivariate distribution of $\xi _0 (t_1 ),\xi _0 (t_2 ), \cdots ,\xi _0 (t_k )$ for all k and $t_1 ,t_2 , \cdots ,t_k…