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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 ...
L. M. M.-T.
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Time-frequency feature extraction for classification of episodic memory
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
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Risk quantification using skewed distributions: An application to the South African Financial Index (J580) [PDF]
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+2 more
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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+3 more
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Discussion: Conditional growth charts
Discussion of Conditional growth charts [math.ST/0702634]Comment: Published at http://dx.doi.org/10.1214/009053606000000669 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat ...
Salibian-Barrera, Matias+1 more
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Analysis and evaluation of students' results in the subject of Mathematics for Technicians [PDF]
Integral calculus is a branch of mathematics concerned with the determination, properties, and application of integrals. It is predominantly used in technical applications.
Vladimír Matušek, Eva Matušeková
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The Prerequisites for Educational Training of Specialists in Economics and Entrepreneurship on the Basis of Mathematical Statistics Knowledge [PDF]
According to the purpose of the article, which is aimed at substantiating the compliance of the acquired competencies of higher education applicants in the field of economics and entrepreneurship with the content and the amount of program knowledge in ...
Kovalchuk Viktor A.+1 more
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CutIGA with basis function removal
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+2 more
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Vol.1 "reprinted . 1943"; v.2 "reprinted . 1942." ; Includes bibliographies. ; Mode of access: Internet.
J. H. Curtiss, John F. Kenney
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Mathematical Statistics and Data Analysis
1. PROBABILITY. Introduction. Sample Spaces. Probability Measures. Computing Probabilities: Counting Methods. Conditional Probability. Independence. Concluding Remarks. Problems. 2. RANDOM VARIABLES. Discrete Random Variables. Continuous Random Variables.
J. Rice
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