Results 21 to 30 of about 566,253 (298)
A Simple and Transparent Alternative to Repeated Measures ANOVA
SAGE Open, 2015 Observation Oriented Modeling is a novel approach toward conceptualizing and analyzing data. Compared with traditional parametric statistics, Observation Oriented Modeling is more intuitive, relatively free of assumptions, and encourages researchers to ...
James W. Grice +2 more
doaj +1 more source
Behavioral models of digital IC ports from measured transient waveforms [PDF]
, 2000 This paper addresses the behavioral modeling of output ports of digital integrated circuits via the identification of nonlinear parametric models.
Maio, Ivano Adolfo +1 more
core +1 more source
On Error Estimation for Reduced-order Modeling of Linear Non-parametric and Parametric Systems [PDF]
, 2020 Motivated by a recently proposed error estimator for the transfer function of the reduced-order model of a given linear dynamical system, we further develop more theoretical results in this work.
Benner, Peter, Feng, Lihong
core +3 more sources
Combining parametric, semi-parametric, and non-parametric survival models with stacked survival models [PDF]
Biostatistics, 2015 Major revision since last arXiv ...
Wey, Andrew, Connett, John, Rudser, Kyle
openaire +3 more sources
A Parametric Modeling Method for the Field-Circuit Coupled Model of Synchronous Generators
Journal of Harbin University of Science and Technology, 2018 In order to solve the problem that the preprocessing of building the fieldcircuit coupled model for analyzing the internal faults of synchronous generators is timeconsuming, a parametric modeling method for the fieldcircuit coupled model is given in ...
LIU Zhi-hui +4 more
doaj +1 more source
Non-parametric Bayesian modeling of complex networks
, 2013 Modeling structure in complex networks using Bayesian non-parametrics makes it possible to specify flexible model structures and infer the adequate model complexity from the observed data.
Mørup, Morten, Schmidt, Mikkel N.
core +1 more source
Direct estimation of kinetic parametric images for dynamic PET. [PDF]
, 2013 Dynamic positron emission tomography (PET) can monitor spatiotemporal distribution of radiotracer in vivo. The spatiotemporal information can be used to estimate parametric images of radiotracer kinetics that are of physiological and biochemical ...
Qi, Jinyi, Wang, Guobao
core +1 more source
Nature CommunicationsAbstract We present a general class of machine learning algorithms called parametric matrix models. In contrast with most existing machine learning models that imitate the biology of neurons, parametric matrix models use matrix equations that emulate physical systems.
Patrick Cook +4 more
openaire +2 more sources
Parametric Binary Choice Models [PDF]
SSRN Electronic Journal, 2005 This paper discusses the estimation of binary choice panel data models. We begin with different versions of the static random effects model when the explanatory variables are strictly exogenous. Depending on the autocorrelation structure of the errors, different estimators are available and we detail their attractiveness in each situation by trading ...
Lechner, Michael +2 more
openaire +8 more sources
Analysis of parametric and non-parametric option pricing models
Heliyon, 2022 In this paper, a closed-form analytical solution of option price under the Bi-Heston model is derived. Through empirical analysis, the advantages and disadvantages of the parametric pricing model are compared and analysed with those of the non-parametric model.
Qiang Luo +3 more
openaire +3 more sources