Results 1 to 10 of about 1,174,696 (280)

Time-fractional generalized fifth-order KdV equation: Lie symmetry analysis and conservation laws

Frontiers in Physics, 2023
The purpose of this study is to apply the Lie group analysis method to the time-fractional order generalized fifth-order KdV (TFF-KdV) equation. We examine applying symmetry analysis to the TFF-KdV equation with the Riemann–Liouville (R–L) derivative ...
Zhenli Wang, Liangji Sun, Rui Hua, Lingde Su, Lihua Zhang   +4 more
doaj   +1 more source

Mathematical Statistics [PDF]

Approximate Bayesian Computation (abc for short) is a family of computational techniques which offer an almost automated solution in situations where evaluation of the posterior likelihood is computationally prohibitive, or whenever suitable likelihoods ...
Arnaud Guyader, Frédéric Cérou, Gérard Biau   +2 more
openaire   +3 more sources

Time-frequency feature extraction for classification of episodic memory

EURASIP Journal on Advances in Signal Processing, 2020
This paper investigates the extraction of time-frequency (TF) features for classification of electroencephalography (EEG) signals and episodic memory. We propose a model based on the definition of locally stationary processes (LSPs), estimate the model ...
Rachele Anderson, Maria Sandsten
doaj   +1 more source

An assessment of the role of socio-economic, maternal and service utilization factors in increasing self-reported maternal complications in India

BMC Pregnancy and Childbirth, 2021
Background Self-reported maternal complications are associated with maternal morbidity, deliveries by C-section, postpartum depression, and maternal death.
Pradeep Kumar, Shobhit Srivastava, Chanda Maurya, Preeti Dhillon   +3 more
doaj   +1 more source

Discussion of: Brownian distance covariance

, 2010
Discussion on "Brownian distance covariance" by G\'{a}bor J. Sz\'{e}kely and Maria L. Rizzo [arXiv:1010.0297]Comment: Published in at http://dx.doi.org/10.1214/09-AOAS312E the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute ...
Fukumizu, Kenji, Gretton, Arthur, Sriperumbudur, Bharath K.   +2 more
core   +8 more sources

Risk quantification using skewed distributions: An application to the South African Financial Index (J580) [PDF]

ITM Web of Conferences
This study assesses the reproducibility of a recent publication on the risk quantification of the South African Financial Index (J580) using skewed distributions. That is, four skewed distributions (Burr, exponential, gamma and Weibull) are fitted to the
Shongwe Sandile Charles, Paulse Nasreen Ammaarah, Malumane Lesego Edith   +2 more
doaj   +1 more source

Artificial neural networks improve and simplify intensive care mortality prognostication: a national cohort study of 217,289 first-time intensive care unit admissions

Journal of Intensive Care, 2019
Purpose We investigated if early intensive care unit (ICU) scoring with the Simplified Acute Physiology Score (SAPS 3) could be improved using artificial neural networks (ANNs). Methods All first-time adult intensive care admissions in Sweden during 2009–
Gustav Holmgren, Peder Andersson, Andreas Jakobsson, Attila Frigyesi   +3 more
doaj   +1 more source

Comment: Citation Statistics [PDF]

, 2009
Comment on "Citation Statistics" [arXiv:0910.3529]Comment: Published in at http://dx.doi.org/10.1214/09-STS285C the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat ...
Goldstein, Harvey, Spiegelhalter, David
core   +1 more source

A novel hybrid dimension reduction technique for efficient selection of bio-marker genes and prediction of heart failure status of patients

Scientific African, 2021
This study highlighted and provided a conceptual framework of a hybridized dimension reduction by combining Genetic Algorithms (GA) and Boruta Algorithm (BA) with Deep Neural Network (DNN).
Kazeem Adesina Dauda, Kabir Opeyemi Olorede, Samuel Adewale Aderoju   +2 more
doaj   +1 more source

CutIGA with basis function removal

Advanced Modeling and Simulation in Engineering Sciences, 2018
We consider a cut isogeometric method, where the boundary of the domain is allowed to cut through the background mesh in an arbitrary fashion for a second order elliptic model problem.
Daniel Elfverson, Mats G. Larson, Karl Larsson   +2 more
doaj   +1 more source