Nonlinear linear models. Medical search. Frequent questions

This article presents a non-linear modelling framework to capture the intricate dynamics of social systems. (epw.in)
This paper presents a tractable model of non-linear dynamics of market returns using a Langevin approach. (ssrn.com)
Closed-loop control of the firing rate of the neuron is thus desirable, but very challenging due to the underlying highly nonlinear dynamics. (researchsquare.com)
A Hodgkin-Huxley model of the nonlinear neural dynamics in terms of its membrane potential with respect to current stimulation is developed together with its underlying ion channel dynamics in terms of gating variables. (researchsquare.com)
Next, a dynamic inversion nonlinear controller, a robust incremental dynamic inversion controller, and a model predictive controller are derived to directly regulate the nonlinear neuron dynamics in terms of controlled firing. (researchsquare.com)
The synthesis of lead, lag, lead-lag, dynamic inversion, model predictive control-based feedback controllers over the nonlinear dynamics of the neuron led to controlled firing and a fast response that was robust to stochastic synaptic noise. (researchsquare.com)
Latent force models are systems whereby there is a mechanistic model describing the dynamics of the system state, with some unknown forcing term that is approximated with a Gaussian process. (mlr.press)
If such dynamics are non-linear, it can be difficult to estimate the posterior state and forcing term jointly, particularly when there are system parameters that also need estimating. (mlr.press)
We compare estimates on systems where the posterior is known, demonstrating the effectiveness of the approximation, and apply to problems with non-linear dynamics, multi-output systems and models with non-Gaussian likelihoods. (mlr.press)
Vihola, Helske, and Franks (2020) suggest an efficient particle filter (sequential Monte Carlo, SMC) called $\psi$ -APF for marginal likelihood estimation and state smoothing in case of state space models with linear-Gaussian state dynamics and twice-differentiable observation densities. (uni-muenster.de)
In Nonlinear Dynamics (Vol. 1, pp. 203-217). (coventry.ac.uk)
Ranjith Kumar G., Lakshmi Narayan K. and Ravindra Reddy B., Dynamics of an SIS epidemic model with a saturated incidence rate under time delay and stochastic influence, International Journal of Pure and Applied Mathematics 112 (2017), 695 - 703, DOI: 10.12732/ijpam.v112i4.4. (rgnpublications.com)

Currently, difficulties in modeling non-linear behavior and damage modes of carbon-carbon (C/C) composites beyond simplified in-plane models prevent accurate assessment of bending load and thermal stress effects in interlaminar directions where the stress limits can be significantly lower than in-plane stress limits. (sbir.gov)
To this end, the proposed Phase I SBIR program seeks to develop and refine a new feature for ABAQUS/Standard, using user defined subroutines, for improved modeling of non-linear behavior of C/C composites from limited material characterization data, develop missing data from empirical relationships and micromechanical models, consider multiple modes of damage beyond the standard in-plane damage modes to include interlaminar damage and incorporate aspects of thermal damage. (sbir.gov)
We consider linear and nonlinear stochastic models for transmission of blood types and Rhesus factor from parents to their offspring and investigate long run behavior of these models. (scialert.net)
It is this nonlinear firing behavior together with firing rate that gives rise to synaptic plasticity and forms the basis of memory, perception, action, and behavior. (researchsquare.com)
G.-H. Li and Y.-X. Zhang, Dynamic behavior of a modified SIR model in epidemic diseases using non linear incidence rate and treatment, PlosOne 12(4) (2017), e0175789, DOI: 10.1371/journal.pone.0175789. (rgnpublications.com)
Title: Modelling driver behavior with artificial neural networks. (lu.se)

This paper deals with a size-structured population model consisting of a quasi-linear first-order partial differential equation with nonlinear boundary condition. (aimsciences.org)
I am working on a project related to Nonlinear BS partial differential equation, with terms for transaction costs and/or discrete hedging. (stackexchange.com)

The concept is similar to as in iterated auxiliary particle filter (Guarniero, Johansen, and Lee 2017) , where the original model is "twisted" using so called $\psi$ -functions, which are found iteratively. (uni-muenster.de)

These results stand in stark contrast to the most of other option pricing models such as local, stochastic, or rough volatility models that need more complex specifications of noise to fit the market data. (ssrn.com)

The nonlinearity converts the filter output to a (non-negative) spike rate, and accounts for nonlinear phenomena such as spike threshold (or rectification) and response saturation. (wikipedia.org)
For neurons sensitive to multiple dimensions of the stimulus space, the linear stage of the LNP model can be generalized to a bank of linear filters, and the nonlinearity becomes a function of multiple inputs. (wikipedia.org)
If the nonlinearity f {\displaystyle f} is a fixed invertible function, then the LNP model is a generalized linear model. (wikipedia.org)
Identification of nonlinear dynamical systems have enjoyed significant progression over the past few years with the outcome of various developed identificationmethods, however there is still no generalised method applicable to structures with arbitrary nonlinearity. (coventry.ac.uk)
Comparing the predicted residual errors with those de- rived from a linear model assumption provides a signal for nonlinearity. (lu.se)

These springs exhibit non-linear force-displacement characteristics, making their modelling a crucial aspect of structural analysis. (altair.com)
Non-linear viscoelastic models predict fingertip pulp force-displacement characteristics during voluntary tapping. (cdc.gov)
We evaluated whether lumped-parameter non-linear viscoelastic models of human fingertip tissue can describe fingertip force-displacement characteristics during a range of rapid, dynamic tapping tasks. (cdc.gov)

This produces a closed-form approximation for option pricing in the NES model by a mixture of three Black-Scholes prices, providing accurate calibration to option prices for either benign or distressed market environments, while using only a single volatility parameter. (ssrn.com)
The parameter chiefly responsible for deciding the (active or passive) role of the plate is its decoupling from its neighbours, achieved in the models by assuming weakness zones. (geophysicsjournal.com)
This work provides a framework for linear model predictive control (MPC) of nonlinear distributed parameter systems (DPS), allowing the direct utilization of existing large-scale simulators. (umn.edu)
Parameter estimation and model fitting. (lu.se)

Here we study the $\psi$ -APF in case of Gaussian models with non-linear observation or transition equations. (uni-muenster.de)
2000;97:9840-9843), according to which the equations of the model (and consequently of the simulator) need not be given explicitly to the controller. (umn.edu)

To validate the efficiency of the proposed method, numerical and experimental studies are conducted on a "Multiple Beam Test Structure", the method uses an iterative process to upgrade the nonlinear terms in the system. (coventry.ac.uk)
For architectures with non-linear hidden nodes no exact procedure exists for minimizing the error and one has to rely on iterative methods, some of which are described below. (lu.se)

Deshpande, Mangesh S. 2012-02-21 00:00:00 [For several decades, the traditional approach to speech modeling has been the linear (source-filter) model where the true nonlinear physics of speech production is approximated via the standard assumptions of linear acoustics and one-dimensional plane wave propagation of the sound in the vocal tract. (sagepub.com)
1This note contains derivations of the formalism and elaborations of the results presented in C. Peterson, "Determining dependency structures and estimating nonlinear regression errors without doing regression", International Journal of Modern Physics 6, 611-616 (1995). (lu.se)

In the analysis of nonlinear dynamical system, it is essential to establish accurate and reliable tools that are capable of estimating the parameters from measured data for both the linear and nonlinear system. (coventry.ac.uk)
Z. Ma and J. Li, Dynamical Modeling and Analysis of Epidemics, World Scientific Publishing Co. Pte. (rgnpublications.com)

The first stage consists of a linear filter, or linear receptive field, which describes how the neuron integrates stimulus intensity over space and time. (wikipedia.org)
The linear filtering stage performs dimensionality reduction, reducing the high-dimensional spatio-temporal stimulus space to a low-dimensional feature space, within which the neuron computes its response. (wikipedia.org)
The LNP model provides a simplified, mathematically tractable approximation to more biophysically detailed single-neuron models such as the integrate-and-fire or Hodgkin-Huxley model. (wikipedia.org)

The aim of this study is to validate a fully non-linear finite-element model to simulate waves and wave-structure interactions. (tudelft.nl)

Why is call option value same as portfolio value at all times in Black Scholes model? (stackexchange.com)

WHO estimates haemoglobin distributions by country and year using a Bayesian hierarchical mixture model. (who.int)

Strategies for Modelling Nonlinear Time-Series Relationships ," The Economic Record , The Economic Society of Australia, vol. 69(206), pages 233-238, September. (repec.org)
Linear and non-linear models were used to determine and predict the relationships between input and output variables. (mdpi.com)
The present work aimed to model the growth curves of male and female turkeys with respect to their live weight-age relationships and to determine a non-linear model explaining their growth curve better. (tubitak.gov.tr)

Cooper, SB , Delli Carri, A & Di Maio, D 2016, Model upgrading to augment linear model capabilities into nonlinear regions . (coventry.ac.uk)

Techniques for estimating the LNP model parameters include: moment-based techniques, such as the spike-triggered average or spike-triggered covariance with information-maximization or maximum likelihood techniques. (wikipedia.org)
Using a two-component Gaussian mixture as a ground state WF with an asymmetric double well potential produces a tractable low-parametric model with interpretable parameters, referred to as the NES (Non-Equilibrium Skew) model. (ssrn.com)
There are no guidelines available that can be used to choose the parameters of neural network models and therefore the parameters are chosen according to what the researcher considers to be the best. (aston.ac.uk)
The rheological model parameters were successively refined, effective viscosity depending on (1) depth, (2) temperature and pressure, and (3) temperature, pressure, and stress. (geophysicsjournal.com)
Model parameters varied by less than 20% over the four conditions, despite almost 3-fold differences in average forces and 38% differences in fingertip velocities. (cdc.gov)

Conventional linear approach is too simplistic a framework to capture and deal with such phenomena. (epw.in)
There are strong theoretical and experimental evidences for the existence of important nonlinear aerodynamic phenomena during the speech production that cannot be accounted for by the linear model. (sagepub.com)

Utilizing time series approach, this study has developed a predictive analytic model for three popular Desktop Operating Systems, namely, Windows 7, Mac OS X, and Linux Kernel by using their reported vulnerabilities on the National Vulnerability Database (NVD). (scirp.org)

These models approximate a neuron's input-output characteristics using a polynomial expansion analogous to the Taylor series, but do not explicitly specify the spike-generation process. (wikipedia.org)
This paper presents a mathematical model and simulation results of dynamic characteristics of the split phase induction motor for different values of the inductor and moment of inertia at no-load conditions. (researchbib.com)

Trata-se de uma pesquisa documental, realizada en-tre dezembro de 2020 e janeiro de 2021. (bvsalud.org)
en & Kaya, 2020), but also income distribution (Bar- gain et al. (lu.se)

This paper presents a modular framework approach for upgrading a valid linear finite element structural model to accommodate any nonlinearities present in a system. (coventry.ac.uk)

L. Liu , J. Wang and X. Liu , Global stability of an SEIR epidemic model with age-dependent latency and relapse, Nonlinear Analysis: RWA , 24 (2015), 18-35. (aimsciences.org)
L. Esteva-Peralta and J. X. Velasco-Hernandez, M-Matrices and local stability in epidemic model, Math. (rgnpublications.com)

Additional approximations give rise to a final practical version of the NES model, where real-measure and risk-neutral return distributions are given by three component Gaussian mixtures. (ssrn.com)
A method for estimating nonlinear regression errors and their distributions without per- forming regression is presented. (lu.se)

In this paper is outlined a technique for determining the non-linear constitutive properties of an orthrotropic laminated material such as a fiber reinforced composite. (montana.edu)
Whilst there has been much success in modeling the linear and nonlinear rheology of monodisperse entangled linear polymers, progress in the constitutive modeling of polymeric materials continues to lag behind the needs of industry. (lu.se)

Preliminary results suggests that the present model is capable of modelling focused wave events propagating in the numerical wave tank. (tudelft.nl)
The focus of the research, therefore, will be to develop a non-linear numerical wave model to assess the dynamic behaviour of a large diameter monopile-based offshore wind turbine (OWT) in the extreme sea conditions of Jamaica. (plymouth.ac.uk)
The research aims to determine if the numerical wave models that are being used to predict the wave forces acting on monopile supported OWT are appropriate for large dimeter monopiles. (plymouth.ac.uk)
To investigate this, the numerical wave models used to determine the wave forces around vertical cylinders will be assessed and an appropriate non-linear numerical wave model will be proposed for a large diameter cylinder. (plymouth.ac.uk)

Although many of the models commonly used in empirical finance are linear, the nature of financial data suggests that non-linear models are more appropriate for forecasting and accurately describing returns and volatility. (repec.org)
The enormous number of non-linear time series models appropriate for modeling and forecasting economic time series models makes choosing the best model for a particular application daunting. (repec.org)
The performance of alternative forecasting methods for SETAR models ," International Journal of Forecasting , Elsevier, vol. 13(4), pages 463-475, December. (repec.org)
Performance of Alternative Forecasting Methods for Setar Models ," The Warwick Economics Research Paper Series (TWERPS) 467, University of Warwick, Department of Economics. (repec.org)
The Performance of Alternative Forecasting Methods for SETAR Models ," Economic Research Papers 268737, University of Warwick - Department of Economics. (repec.org)
Non-linear models have increasingly featured, along with linear counterparts, in the forecasting literature. (repec.org)
In this study, we focus on forecasting South African infl ation by means of non-linear models and using a long historical dataset of seasonally-adjusted monthly inflation rates spanning from 1921:02 to 2013:01. (repec.org)
In general, we find that no competing model consistently and significantly beats the LoLiMoT's performance in forecasting South African inflation. (repec.org)
Vulnerability forecasting models help us to predict the number of vulnerabilities that may occur in the future for a given Operating System (OS). (scirp.org)
In this paper the exchange rate forecasting performance of neural network models are evaluated against random walk and a range of time series models. (aston.ac.uk)
Our results show that in general neural network models perform better than traditionally used time series models in forecasting exchange rates. (aston.ac.uk)
Various problems in forecasting from non-linear models are discussed. (edu.au)
Some guidelines for practical non-linear time series modelling and forecasting are also included. (edu.au)
De Gooijer, J & Kumar, K 1992, ' Some recent developments in non-linear time series modelling, testing and forecasting ', International Journal of Forecasting , vol. 8, no. 2, pp. 135-156. (edu.au)

Traditional subjective expected utility (SEU) methods do so linearly, and as such cannot capture non-linear strategies used to guard against the uncertainty over how accurately a model reflects the real-world distribution. (risk.net)

begingroup$ They have probably included a quadratic component, i.e. something like $\hat y=\beta_0 + \beta_1 x + \beta_2 x^2$ or perhaps some other non-linear transformation of the independent variable. (stackexchange.com)
begingroup$ I noticed only now that the dependent variable is a probability, so they probably have used a non-linear link function, as indicated in @YAK answer (+1). (stackexchange.com)

Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models ," Journal of Applied Econometrics , John Wiley & Sons, Ltd., vol. 7(S), pages 119-136, Suppl. (repec.org)
Comparing the obtained 2 with what is extracted assuming a linear model in Eq. (3) r provides means for establishing nonlinearities. (lu.se)

Such an approach, however, implies that the risk of making bad decisions is extremely high which could explain why in many studies neural network models do not consistently perform better than their time series counterparts. (aston.ac.uk)
In this paper through extensive experimentation the level of subjectivity in building neural network models is considerably reduced and therefore giving them a better chance of performing well. (aston.ac.uk)
Most adaptive algorithms such as neural network models are designed to find such an optimum function. (lu.se)

Furthermore, the existence of global attractor is established by proving the asymptotic smoothness and eventual compactness of the nonlinear semigroup associated with the solutions. (aimsciences.org)

The model offers a useful approximation of neural activity, allowing scientists to derive reliable estimates from a mathematically simple formula. (wikipedia.org)
alpha_t)\) is now assumed to be non-linear function of states, and we assume (possibly non-linear) Gaussian density for the observations, and the Gaussian approximation approach of Durbin and Koopman (1997) and Shephard and Pitt (1997) is not applicable as such. (uni-muenster.de)
Thus, the linear model can be viewed only as a first-order approximation to the true speech acoustics which also contains second-order and nonlinear structure. (sagepub.com)

On Estimating Thresholds In Autoregressive Models ," Journal of Time Series Analysis , Wiley Blackwell, vol. 7(3), pages 179-190, May. (repec.org)
r-sig-meta-analysis at r-project.org Subject: Re: [R-meta] Non-linear model with metafor Dear Wolfgang, Thank you very much for answering to my e-mail. (ethz.ch)
Sin, G , Eliasson Lantz, A & Gernaey, K 2009, Sensitivity Analysis of Non-Linear Dynamic Models: Prioritizing Experimental Research . (dtu.dk)
Unlike traditional ones, we propose a vulnerability analytic prediction model based on linear and non-linear approaches via time series analysis. (scirp.org)
TYPE=KN is allowed only for nonlinear analysis. (altair.com)
Based on the state vector analysis of the system, the dq axis model of the split phase induction motor is deduced. (researchbib.com)
Most of the recent work in time series analysis has been done on the assumption that the structure of the series can be described by linear time series models. (edu.au)
SPICE AC circuit simulation is fundamentally a small signal network analysis of a linear or non-linear circuit operating at speciﬁed DC bias conditions, where the electrical network component values are assumed not to be functions of AC input signal frequency. (londonmet.ac.uk)
In the case of RF circuit simulation this assumption can give rise to signiﬁcant modelling errors.With the recent improvements in General Public License (GPL) circuit simulators this situation is changing, particularly through the introduction of Frequency Dependent Equation-Deﬁned Device (FEDD) models, non-linear current/voltage static and dynamic Equation-DeﬁnedDevice(EDD)modelsandusercontrolledswept signal frequency simulation employing Harmonic Balance steady state analysis. (londonmet.ac.uk)
Our analysis shows that the digital-only players using adaptive models enjoyed higher revenue growth compared to players with traditional models. (accenture.com)
Z. Hu, W. Ma and S. Ruan, Analysis of SIR epidemic models with non linear incidence rate and treatment, Mathematical Biosciences 238 (2012), 12 - 22, DOI: 10.1016/j.mbs.2012.03.010. (rgnpublications.com)

A physical scaled model in a wave tank will be used to validate the model. (plymouth.ac.uk)
In this article, we will check how to work with such elements and validate the results of modelling a non-linear spring using PBUSH property and PBUSHT in OptiStruct. (altair.com)

This classroom-tested advanced undergraduate and graduate textbook, first published in 2000, provides a rigorous treatment of recently developed non-linear models, including regime-switching and artificial neural networks. (repec.org)
We have developed the models based on Auto Regressive Moving Average (ARIMA), Artificial Neural Network (ANN), and Support Vector Machine (SVM) settings. (scirp.org)
It would provide a natural step prior to any modeling of a system (e.g. artificial neural network) since one then knows the optimal performance limit of the fit in advance. (lu.se)

In those cases it is desirable to look at non-linear alternatives. (edu.au)

In this paper the economic aspects of internal variety in product design and manufacturing are analyzed and non-linear decision model for designing the cost effective product family is presented. (designsociety.org)
In this paper a new theoretical model for the Rapid Chloride Migration test is presented. (tue.nl)
I have read a paper which numerically solved a Nonlinear BS and compared results with Linear BS . (stackexchange.com)
The main purpose of this paper is to introduce a number of novel modelling and circuit simulation techniques that allow, and enhance, the construction of compact device models with embedded behavioural components whose non-linear properties are functions of AC input signal frequency. (londonmet.ac.uk)
This paper considers the Susceptible-Infected-Vaccinated-Recovered ( SIRV ) deterministic model with a non linear force of infection and treatment, where individual humans that are vaccinated losses their vaccination after some time and become vulnerable to infections. (rgnpublications.com)

The isotherm Freundlich and isotherm Langmuir were too introduced that all data follow the model Freundlich isotherm in the presence of CHZ drug. (ac.ir)

Therefore we investigated this intraparticle "brush deformation" of polybutadiene (PB) star and linear polymers by rheology and Rheo-SANS [3, 4]. (lu.se)

B. Buonomo and S. Rionero, On the stability for SIRS epidemic models with general non linear incidence rate, Applied Mathematics and Computations 217 (2010), 4010 - 4016, DOI: 10.1016/j.amc.2010.10.007. (rgnpublications.com)

An alternative to the LNP model for neural characterization is the Volterra kernel or Wiener kernel series expansion, which arises in classical nonlinear systems-identification theory. (wikipedia.org)

People generally do compare the prices produced by non traditional models to the traditional ones - the purpose could be to benchmark the model output, understand/locate the regions where the prices differ, or to demonstrate the superiority of the new model etc. (stackexchange.com)
To demonstrate these new modelling techniques a compact model for a 10 GHz band width spiral inductor integrated on silicon is introduced, its compact model presented, and ﬁnally its simulation performance compared with published measured device data. (londonmet.ac.uk)

In this article, we rigorously derive non-Hermitian Hamiltonians in the response function formalism of nonlinear spectroscopy by means of Feshbach. (lu.se)
In this article, we rigorously derive non-Hermitian Hamiltonians in the response function formalism of nonlinear spectroscopy by means of Feshbach operators and apply them to explore spectroscopic signatures of plexcitons. (lu.se)

The proposed non-linear analytic models produce very good prediction results in comparison to linear time series models. (scirp.org)

Non-Linear Time Series Models in Empirical Finance ," Cambridge Books , Cambridge University Press, number 9780521779654, November. (repec.org)

rma(yi, vi, data=datpln, measure='PLN', method='REML', mods=~a$ln.t) summary(regpln_lnt) #R-squared 100%, I-squared=0, p value for residual heterogeneity 0.66, tau=0 # beta for intercept -0.9979# beta for ln.t -0.0781 # so non-linear relationship seems to be appropriate. (ethz.ch)
For an emerging market economy such as South Africa, non-linearities can be a salient feature of such long data, hence the relevance of evaluating non-linear models' forecast performance. (repec.org)
In the same vein, given the fact that 1969:10 marks the beginning of a protracted rising trend in South African inflation data, we estimate the models for an in-sample period of 1921:02-1966:09 and evaluate 24 step-ahead forecasts over an out-of-sample period of 1966:10-2013:01. (repec.org)
The non-linear binding coefficients correspond well to experimental data found in literature. (tue.nl)
However, there are occasions when subject-matter, theory or data suggest that linear models are unsatisfactory. (edu.au)
Assuming continuity of the modeling function the variance is given in terms of conditional probabilities extracted from the data. (lu.se)
One fits the data to a model, r a particular choice of F , and then interprets the deviation of the fit as noise. (lu.se)
9. Fit a non-linear mathematical model to given data. (lu.se)
The hidden layer enables non-linear modeling of the sensor data. (lu.se)
Once the weights have been fitted to the data in this way, using labeled data, the network should be able to model data it has never seen before. (lu.se)
The ability of the network to correctly model such unlabeled data is called generalization performance. (lu.se)
This model systematically addressed missing data, non-linear time trends, and representativeness of data sources. (who.int)

Due to non-linearity of an interaction potential, the model admits regimes of both small and large return fluctuations. (ssrn.com)

Supersymmetry (SUSY) is then used to find time-dependent solutions of the model in an analytically tractable way. (ssrn.com)

Borrowing ideas from supersymmetric quantum mechanics (SUSY QM), a parameterized ground state wave function (WF) of this QM system is used as a direct input to the model, which also fixes a non-linear Langevin potential. (ssrn.com)
The proposed scheme is adaptive and it is based on successive local linearizations of the nonlinear model of the system at hand around the current state and on the use of the resulting local linear models for MPC. (umn.edu)
At every timestep, not only the future control moves are updated but also the model of the system itself. (umn.edu)
The basic reproduction number $R_0$ obtained from the model system is an epidemic threshold that determines if a disease will continue to ravage the human population or not. (rgnpublications.com)

P. Van den Driessche and J. Watmough, Reproduction Number and sub threshold epidemic equilibrium for compartmental models for disease transmission, Mathematical Biosciences 180 (2002), 29 - 48, DOI: 10.1016/S0025-5564(02)00108-6. (rgnpublications.com)

Following the success of the Phase I program objectives, GHI will develop a Phase II plan which will enable the goal of experimentally validating and refining this new C/C composite modeling tool. (sbir.gov)

However, to build successful applications, deviations from the linear model are often modeled as second-order effects or error terms. (sagepub.com)

Running particle filter with potentials $g^{\psi}_t$ and proposals $\mu^{\psi}_t$ does not produce the correct filtering distribution (with respect to the original model), but the resulting smoothing distribution and marginal likelihood estimate $p(y_{1:T})$ coincide with the corresponding estimates of the original model. (uni-muenster.de)

Conventional procedures for estimating 2 are model-based. (lu.se)

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