Results 41 to 50 of about 6,587 (215)

First-order covariance inequalities via Stein’s method [PDF]

Bernoulli, 2020
32 pages, 3 tables, 2 figures. This is an updated version of the first part of our previous arXiv submission on the same topic (arXiv:1812.10344) which we leave on the arXiv as a separate submission because it contains some material which may still be of ...
Ernst, Marie, Swan, Yvik, Reinert, Gesine   +2 more
openaire   +5 more sources

Archimedes, Gauss, and Stein [PDF]

, 2012
We discuss a characterization of the centered Gaussian distribution which can be read from results of Archimedes and Maxwell, and relate it to Charles Stein's well-known characterization of the same distribution.
Pitman, Jim, Ross, Nathan
core   +1 more source

Constrained Bayesian Method for Testing Equi-Correlation Coefficient

Axioms
The problem of testing the equi-correlation coefficient of a standard symmetric multivariate normal distribution is considered. Constrained Bayesian and classical Bayes methods, using the maximum likelihood estimation and Stein’s approach, are examined ...
Kartlos Kachiashvili, Ashis SenGupta
doaj   +1 more source

Edith Stein's philosophy of the person and her phenomenological way of posing and concretizing pedagogically primary questions

Journal of Modern Science
Objectives The aim of this article is to present the primary premises of Edith Stein's pedagogical thought, highlighting its fundamental foundations in the philosophy of man. Material and methods To this end, the author utilizes the method of historical
Jarosław Gara
doaj   +1 more source

Stein's Method and Non-Reversible Markov Chains

, 2004
Let W be either the number of descents or inversions of a permutation. Stein's method is applied to show that W satisfies a central limit theorem with error rate n^(-1/2).
Fulman, Jason
core   +1 more source

Functional approximations with Stein's method of exchangeable pairs [PDF]

, 2020
We combine the method of exchangeable pairs with Stein's method for functional approximation. As a result, we give a general linearity condition under which an abstract Gaussian approximation theorem for stochastic processes holds. We apply this approach
Kasprzak, Mikolaj J.
core   +1 more source

The central limit problem for random vectors with symmetries

, 2005
Motivated by the central limit problem for convex bodies, we study normal approximation of linear functionals of high-dimensional random vectors with various types of symmetries. In particular, we obtain results for distributions which are coordinatewise
A. Koldobsky, A. Naor, A. Naor, A. Prékopa, C. Stein, Elizabeth S. Meckes, F. John, G. Schechtman, J.O. Wojtaszczyk, K. Ball, M. Anttila, M. Ledoux, M. Ledoux, M. Reitzner, Mark W. Meckes, P. Baldi, P. Diaconis, R. Kannan, S. Aubert, S. Holmes, S. Sodin, S.G. Bobkov, S.G. Bobkov, S.G. Bobkov, U. Brehm, U. Brehm, V.N. Sudakov, W. Bryc, Y. Gordon, Y. Rinott   +29 more
core   +1 more source

On strong embeddings by Stein’s method

Electronic Journal of Probability, 2016
Typos and minor corrections made to Lemma 2 ...
Bhattacharjee, Chinmoy, Goldstein, Larry
openaire   +4 more sources

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Edgeworth expansion by Stein’s method

Bernoulli
Edgeworth expansion provides higher-order corrections to the normal approximation for a probability distribution. The classical proof of Edgeworth expansion is via characteristic functions. As a powerful method for distributional approximations, Stein's method has also been used to prove Edgeworth expansion results.
Fang, Xiao, Liu, Song-Hao
openaire   +2 more sources