Showing papers by "Tamás F. Móri published in 2021"
TL;DR: In this paper, it was shown that for any fixed Pearson correlation coefficient strictly between − 1 and 1, the distance correlation coefficient can take any value in the open unit interval ( 0, 1 ).
130 citations
TL;DR: The energy test of multivariate normality is an affine invariant test based on a characterization of equal distributions by energy distance as mentioned in this paper, which is a degenerate kernel V-statistic, which asymptotically has a sampling distribution that is a Gaussian quadratic form under the null hypothesis of normality.
6 citations
TL;DR: In this article, the authors propose a conceptual model for pollination and fertilization of tomato flowers in greenhouses crops by hoverflies, when the maximal number of adult pollinators maintained by the crops is less than what is needed for an economically successful pollination.
Abstract: We propose a conceptual model for pollination and fertilization of tomato flowers in greenhouses crops by hoverflies, when the maximal number of adult pollinators maintained by the crops is less than what is needed for an economically successful pollination in greenhouses. The model consists of a two-stage process for additional feeding of hoverfly to maintain the pollinator density at the economically desired level. First, with a stochastic model, we calculate the density of flies necessary for the economically successful pollination, determined according to the economically expected yield. Second, using a deterministic optimal control model, we find a minimum cost supplementary feeding strategy. In summary, we theoretically demonstrate, at the present stage of the research without validations in case studies, that optimal supplementary feeding can maintain the economically desired hoverfly density.
2 citations
TL;DR: In this paper, the authors discuss recent developments in the following important areas of Alfred Renyi's research interest: axiomatization of quantitative dependence measures, qualitative independence in combinatorics, conditional qualitative independence, and finally, prime gaps that are responsible for Renyi’s early career reputation.
Abstract: We discuss recent developments in the following important areas of Alfred Renyi’s research interest: axiomatization of quantitative dependence measures, qualitative independence in combinatorics, conditional qualitative independence in statistics/data science and in measure theory/probability theory, and finally, prime gaps that are responsible for Renyi’s early career reputation. Most authors of this paper are main contributors to the new developments.