Zobrazeno 1 - 10
of 8 669
pro vyhledávání: '"IN 62"'
Autor:
Kennedy-Shaffer, Lee
The undergraduate curriculum in statistics and data science is undergoing changes to accommodate new methods, newly interested students, and the changing role of statistics in society. Because of this, it is more important than ever that students und
Externí odkaz:
http://arxiv.org/abs/2412.20175
In structured additive distributional regression, the conditional distribution of the response variables given the covariate information and the vector of model parameters is modelled using a P-parametric probability density function where each param
Externí odkaz:
http://arxiv.org/abs/2412.10038
Autor:
Venu, A. X.
In Bayesian statistics, the highest posterior density (HPD) interval is often used to describe properties of a posterior distribution. As a method for estimating confidence intervals (CIs), the HPD has two main desirable properties. Firstly, it is th
Externí odkaz:
http://arxiv.org/abs/2412.06528
Autor:
Giller, Graham L.
A simple model-free and distribution-free statistic, the functional relationship between the number of "effective" degrees of freedom and portfolio size, or N*(N), is used to discriminate between two alternative models for the correlation of daily cr
Externí odkaz:
http://arxiv.org/abs/2412.04263
Autor:
Nava-Yazdani, Esfandiar
We propose a natural intrinsic extension of the ridge regression from Euclidean spaces to general manifolds, which relies on Riemannian least-squares fitting, empirical covariance, and Mahalanobis distance. We utilize it for time-series prediction an
Externí odkaz:
http://arxiv.org/abs/2411.18339
Autor:
Villena, Alejandro, Tardon, Lorenzo J., Barbancho, Isabel, Barbancho, Ana M., Brattico, Elvira, Haumann, Niels T.
Publikováno v:
Appl. Sci. 2019, 9, 1757
We dealt with the problem of artifacts in eeg signals in relation to the usage of lengthy trials. Specifically, we considered eye artifacts found in eeg signals,their influence in the analysis of the data and alternatives to diminish their impact on
Externí odkaz:
http://arxiv.org/abs/2411.12092
Autor:
Tractenberg, Rochelle E.
Artificial Intelligence (AI) is a field that utilizes computing and often, data and statistics, intensively together to solve problems or make predictions. AI has been evolving with literally unbelievable speed over the past few years, and this has l
Externí odkaz:
http://arxiv.org/abs/2410.22475
Autor:
Panchaud, Clara, King, Ruth, Borchers, David, Worthington, Hannah, Durbach, Ian, Van Dam-Bates, Paul
Obtaining reliable and precise estimates of wildlife species abundance and distribution is essential for the conservation and management of animal populations and natural reserves. Remote sensors such as camera traps are increasingly employed to gath
Externí odkaz:
http://arxiv.org/abs/2408.17278
Autor:
Mihăilă, Bianca-Elena, Hâncean, Marian-Gabriel, Perc, Matjaž, Lerner, Jürgen, Oană, Iulian, Geantă, Marius, Molina, José Luis, Cioroboiu, Cosmina
Publikováno v:
R. Soc. Open Sci. 11, 241459 (2024)
While research on adolescent smoking is extensive, little attention has been given to smoking behaviors among rural middle-aged and older adults. This study examines the role of personal networks and sociodemographic factors in predicting smoking sta
Externí odkaz:
http://arxiv.org/abs/2408.14832
Statistical hypothesis testing, as formalized by 20th Century statisticians and taught in college statistics courses, has been a cornerstone of 100 years of scientific progress. Nevertheless, the methodology is increasingly questioned in many scienti
Externí odkaz:
http://arxiv.org/abs/2408.11672