Results 1 to 10 of about 442,784 (193)
Mathematics, 2022 Dynamic motion simulators cannot provide the same stimulation of sensory systems as real motion. Hence, only a subset of human senses should be targeted.
Isaac Chairez +4 more
doaj +1 more source
Nonparametric universal copula modeling [PDF]
Applied Stochastic Models in Business and Industry, 2020 AbstractTo handle the ubiquitous problem of “dependence learning,” copulas are quickly becoming a pervasive tool across a wide range of data‐driven disciplines encompassing neuroscience, finance, econometrics, genomics, social science, machine learning, healthcare, and many more. At the same time, despite their practical value, the empirical methods of
Subhadeep Mukhopadhyay, Emanuel Parzen
openaire +2 more sources
Pointing error compensation of electro-optical detection systems using Gaussian process regression
International Journal of Metrology and Quality Engineering, 2021 Pointing accuracy is an important indicator for electro-optical detection systems, as it significantly affects the system performance. However, as a result of misalignment, nonperpendicularity in the manufacturing and assembly processes, as well as the ...
Tang Qijian +3 more
doaj +1 more source
Nonparametric dynamic modeling [PDF]
Mathematical Biosciences, 2017 Challenging as it typically is, the estimation of parameter values seems to be an unavoidable step in the design and implementation of any dynamic model. Here, we demonstrate that it is possible to set up, diagnose, and simulate dynamic models without the need to estimate parameter values, if the situation is favorable.
Faraji, Mojdeh, Voit, Eberhard O.
openaire +2 more sources
seq2R: An R Package to Detect Change Points in DNA Sequences
Mathematics, 2023 Identifying the mutational processes that shape the nucleotide composition of the mitochondrial genome (mtDNA) is fundamental to better understand how these genomes evolve. Several methods have been proposed to analyze DNA sequence nucleotide composition
Nora M. Villanueva +3 more
doaj +1 more source
Mathematics, 2021 This paper studies the integration of predictive and prescriptive analytics framework for deriving decision from data. Traditionally, in predictive analytics, the purpose is to derive prediction of unknown parameters from data using statistics and ...
Shunichi Ohmori
doaj +1 more source
Quantitative Finance and Economics, 2023 This study aimed to investigate the risk-return relationship, provided volatility feedback was taken into account, in the South African market. Volatility feedback, a stronger measure of volatility, was treated as an important source of asymmetry in the ...
Nitesha Dwarika
doaj +1 more source
Correlation Method for Identification of a Nonparametric Model of Type 1 Diabetes
IEEE Access, 2022 This work describes a novel nonparametric identification method for estimating impulse responses of the general two-input single-output linear system with its target application to the individualization of an empirical model of type 1 diabetes.
Martin Dodek +2 more
doaj +1 more source
Nonparametric Combinatorial Sequence Models [PDF]
Journal of Computational Biology, 2011 This work considers biological sequences that exhibit combinatorial structures in their composition: groups of positions of the aligned sequences are "linked" and covary as one unit across sequences. If multiple such groups exist, complex interactions can emerge between them.
Fabian L, Wauthier +2 more
openaire +2 more sources
Nonparametric transfer function models [PDF]
Journal of Econometrics, 2010 In this paper a class of nonparametric transfer function models is proposed to model nonlinear relationships between 'input' and 'output' time series. The transfer function is smooth with unknown functional forms, and the noise is assumed to be a stationary autoregressive-moving average (ARMA) process.
Liu, Jun M., Chen, Rong, Yao, Qiwei
openaire +3 more sources