• Contrary to traditional modelling methods, such as linear regression and basic statistical methods, nonlinear modelling can be utilized efficiently in a vast number of situations where traditional modelling is impractical or impossible. (wikipedia.org)
  • The newer nonlinear modelling approaches include non-parametric methods, such as feedforward neural networks, kernel regression, multivariate splines, etc., which do not require a priori knowledge of the nonlinearities in the relations. (wikipedia.org)
  • These models are like generalized linear models (linear regression, logistic regression, log-linear models, etc.) but may also include one or more nonlinear terms in the predictor function (i.e., the right hand side of the regression equation). (warwick.ac.uk)
  • Hong, X. , Harris, C.J. , Chen, S. and Sharkey, P.M. (2003) Robust nonlinear model identification methods using forward regression. (soton.ac.uk)
  • I was able to use weighted least squares regression to find the best fit parameters for each regression depending on the number of modes I give the model (e.g. each Gaussian CDF has three parameters, mu, sigma, and a scaling factor, that are summed to create my total function). (stackexchange.com)
  • Does anyone have suggested resources for better understanding model selection for nonlinear regression? (stackexchange.com)
  • Variable selection problem for the nonlinear Cox regression model is considered. (ccsenet.org)
  • Also, the same method is used for estimating nonlinear regression errors and their distributions without performing regression. (lu.se)
  • Model predictive control requires the solution of a sequence of continuous optimization problems that are nonlinear if a nonlinear model is used for the plant. (optimization-online.org)
  • We describe briefly a trust-region feasibility-perturbed sequential quadratic programming algorithm (developed in a companion report), then discuss its adaptation to the problems arising in nonlinear model predictive control. (optimization-online.org)
  • Nonlinear Model Predictive Control of Ultra-High-Purity Air Separation Uni. (rwth-aachen.de)
  • In order to solve output saturation problems found in traditional stochastic resonance methods and to improve the diagnosis ability of weak faults, a new piecewise nonlinear asymmetric bistable stochastic resonance (PNABSR) method is proposed. (mdpi.com)
  • This model uses a left and right potential function with an asymmetrical shape, which makes it easier to induce stochastic resonance phenomena. (mdpi.com)
  • 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)
  • An iterative algorithm, which is called the integrated optimal control and parameter estimation algorithm, is developed for solving a discrete time nonlinear stochastic control problem. (aimsciences.org)
  • This paper describes a method for estimating and testing nonlinear rational expectations models directly from stochastic Euler equations. (econometricsociety.org)
  • 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)
  • The inversion phenomenon of the tippedisk can be modeled by a rigid eccentric disk in permanent contact with a flat support, and the dynamics of the system can therefore be formulated as a set of ordinary differential equations. (springer.com)
  • The qualitative behavior of the nonlinear system can be analyzed, leading to slow-fast dynamics. (springer.com)
  • Therefore, we simplify the equations of motion of the tippedisk in such a way that the qualitative dynamics are preserved in order to obtain a reduced model that will serve as the basis for a following nonlinear stability analysis. (springer.com)
  • This paper presents a tractable model of non-linear dynamics of market returns using a Langevin approach. (ssrn.com)
  • Furthermore, we discussed the optimal control strategy using Pontryagin's maximum principle and determined the effect of control parameter u on the model dynamics. (amrita.edu)
  • This paper addresses the distributed optimal frequency control of power systems considering a network-preserving model with nonlinear power flows and excitation voltage dynamics. (caltech.edu)
  • We will make use of a number of computational techniques, including direct numerical simulation of stratified shear flows, an asymptotic high-Reynolds-number contour dynamics model developed by Dr Anirban Guha, and computation of families of exact coherent structures. (findaphd.com)
  • Key skills developed through the project include the direct numerical simulation of fluid flows, mathematical high-Reynolds-number fluid dynamics, and advanced numerical models and techniques for studying fluid flows. (findaphd.com)
  • article{088922ab-78c4-4bd0-a806-03a470916a0c, abstract = {{This paper deals with transient finite elements modeling of magnetostriction. (lu.se)
  • For instance, maximizing the power amplifier's efficiency can only be achieved by operating RF transistors under strong nonlinear condi- tions, however this is contradictory to maximizing PA linearity. (uwaterloo.ca)
  • From the resulting set of partial differential equations, we derive a Lyapunov functional that can also be regarded as the free energy of this model, and minimize it with a Monte Carlo method to detect the condition for self-organized aggregation. (nature.com)
  • Since even a freely rotating rigid body with six degrees of freedom already leads to highly nonlinear system equations, a general analysis for the full system equations is not feasible. (springer.com)
  • The reduced equations are presented here in full detail and are compared numerically with the full model. (springer.com)
  • Dr Guha's asymptotic model will be compared against the direct numerical simulation results and a suite of parametric experiments led by Dr Alan Cuthbertson (see Project 2) , and then used as a starting point for computing families of nonlinear exact coherent flow structures which emerge from the equations of stratified shear flow. (findaphd.com)
  • Periodic solutions for nonlinear elliptic equations. (esaim-m2an.org)
  • Nonlinear elliptic equations / periodic solutions / existence and uniqueness / electron beam focusing system. (esaim-m2an.org)
  • A continualization of the discrete model equations based on Taylor series allowed us to set equivalent values of the mechanical properties in both discrete and axiomatic continuum models. (uc3m.es)
  • The study of water waves is mathematically challenging, since they are described by a system of nonlinear partial differential equations in a domain with a free boundary. (lu.se)
  • The aim of this project is to construct and study different types of solutions to these equations as well as to simplified nonlocal model equations. (lu.se)
  • We will investigate singular travelling wave solutions of nonlocal model equations as well as three-dimensional solitary waves of the full water wave problem. (lu.se)
  • Such solutions have only been constructed for simpler model equations. (lu.se)
  • The Patlak-Keller-Segel equation is a canonical model of chemotaxis to describe self-organized aggregation of organisms interacting with chemical signals. (nature.com)
  • To fit a nonlinear model when data are censored, you must first use the formula editor to create a parametric equation that represents a loss function adjusted for censored observations. (jmp.com)
  • This paper proposes a measure of the deviation between a nonlinear equation and its affine model, and demonstrates applications to nonlinear systems. (nist.gov)
  • To this end, we derive a novel equation of motion for a nonlinear gradient elasticity model, where the higher-order gradient terms capture the effect of small-scale soil heterogeneity/micro-structure. (tudelft.nl)
  • We also present a novel finite-difference scheme to solve the nonlinear equation of motion in space and time. (tudelft.nl)
  • A similar experiment was performed by Nakamura and Held, using a primitive equation model with diffusion. (ametsoc.org)
  • As an application we analyze the mathematical model of electron beam focusing system and we prove the existence of positive periodic solutions for the envelope equation. (esaim-m2an.org)
  • This study explores the application of viscoelastic modeling for characterization of the response of the brain to impulsive loading with the objective of learning whether such models could exhibit the same time dependency of strain or likelihood of injury, as exhibited by the Severity Index, HIC Index, Wayne Tolerance Curve, and other similar representations of tolerance. (sae.org)
  • Both the theoretical and experimental results show that the falling time dependency of the above indexes can be interpreted in terms of nonlinear viscoelastic response. (sae.org)
  • More exotic effects of the nonlinear coupling terms like compact discrete breathers and vortices, and stationary complex modes with non-trivial phase relations are also briefly discussed. (arxiv.org)
  • To show the accuracy of this axiomatic model, previously proposed by the authors, its predictions are compared with numeric results from a previously defined finite discrete chain of lumped masses and springs, for several number of particles. (uc3m.es)
  • The main conclusion of the work is that the proposed generalized continuum model captures the scale effects in both linear and nonlinear regimes, reproducing the behavior of the 1D nonlinear discrete model adequately. (uc3m.es)
  • The aim of this study is to validate a fully non-linear finite-element model to simulate waves and wave-structure interactions. (tudelft.nl)
  • This paper deals with transient finite elements modeling of magnetostriction. (lu.se)
  • This paper aims at investigating the existence of localized stationary waves in the shallow subsurface whose constitutive behavior is governed by the hyperbolic model, implying non-polynomial nonlinearity and strain-dependent shear modulus. (tudelft.nl)
  • This thesis provides a comprehensive approach to the characterization and modelling of large-signal nonlinear RF/microwave devices, circuits and systems. (uwaterloo.ca)
  • While prior work focuses separately on the improved model formulations or improving characterization accuracy, this thesis provides a comprehensive analysis of all three factors. (uwaterloo.ca)
  • This thesis proposes a modular large-signal RF device characterization system, and a non- linear behavioral model capable of handling strongly nonlinear unmatched RF transistors, each necessary to streamline the design process and achieve a first-pass PA design. (uwaterloo.ca)
  • This model is extracted by utilizing the proposed characterization system to extract higher-order multi-variate model coefficients not included in the PHD model. (uwaterloo.ca)
  • Finally, a concurrent dual-band PA design is studied as an example of how the pro- iv posed nonlinear characterization system and behavioural modelling approach can be used to enable complex PA designs. (uwaterloo.ca)
  • In this paper we study the coupled axial-transverse nonlinear vibrations of a kind of one dimensional structured solids by application of the so called Inertia Gradient Nonlinear continuum model. (uc3m.es)
  • Contrary to the classical continuum model, the inertia gradient nonlinear continuum model used herein is able to capture scale effects, which arise for modes in which the wavelength is comparable to the characteristic distance of the structured solid. (uc3m.es)
  • In mathematics, nonlinear modelling is empirical or semi-empirical modelling which takes at least some nonlinearities into account. (wikipedia.org)
  • 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)
  • Non-Linear Time Series Models in Empirical Finance ," Cambridge Books , Cambridge University Press, number 9780521779654, November. (repec.org)
  • At first, a linear model is developed, which is verified by comparing the fourier transform of the step-response of the dynamical model to the, numerically differentiated, frequency response of the system. (lu.se)
  • The problem is formulated as a nonlinear dynamical system. (esaim-proc.org)
  • Nonlinear modelling in practice therefore means modelling of phenomena in which independent variables affecting the system can show complex and synergetic nonlinear effects. (wikipedia.org)
  • Contrary to phenomenological modelling, nonlinear modelling can be utilized in processes and systems where the theory is deficient or there is a lack of fundamental understanding on the root causes of most crucial factors on system. (wikipedia.org)
  • Phenomenological modelling describes a system in terms of laws of nature. (wikipedia.org)
  • Aggregating across a nonlinear system indicates the spatial extent of the system model's predicitive capability, and, unlike a cost function, reflects direction as well as length differences between the predicted and actual residuals. (nist.gov)
  • Our contribution was to theoretically model this system. (ameslab.gov)
  • 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)
  • It is based on the integration of the principle of model-reality differences and Kalman filtering theory, where the dynamic integrated system optimization and parameter estimation algorithm are used interactively. (aimsciences.org)
  • We have performed the stability and bifurcation analyses of the model system. (amrita.edu)
  • Hence, we reformulate the system as a nonlinear control problem. (esaim-proc.org)
  • First, improving the accuracy of a first-order expansion-based Poly-Harmonic Distortion (PHD) model by 5dB, in terms of Normalized Mean-Squared Error (NMSE), by minimizing multi-harmonic reflections that artificially increase the order of the nonlinear system. (uwaterloo.ca)
  • We used dynamic mode decomposition (DMD) and national data on COVID-19 cases (April 6, 2020-October 9, 2020) to model the spread of COVID-19 in the US as a dynamic system. (cdc.gov)
  • Drawing from 2 existing models, we describe 7 methodological phases in the process of translating and implementing EBIs in communities to reach these vulnerable groups: establish infrastructure for translation partnership, identify multiple inputs (information gathering), review and distill information (synthesis), adapt and integrate program components (translation), build general and specific capacity (support system), implement intervention (delivery system), and develop appropriate designs and measures (evaluation). (cdc.gov)
  • Semiconductor Superlattices: A model system for nonlinear transport , Physics Reports 357 , 1-111 (2002) (Review article) . (lu.se)
  • Incorporating both the lattice strain and electronic mixing into the model made it even more complex, "But this electronic mixing is very important in order to capture these experimentally observed effects," Orth said. (ameslab.gov)
  • A two-dimensional nonlinear Schrodinger lattice with nonlinear coupling, modelling a square array of weakly coupled linear optical waveguides embedded in a nonlinear Kerr material, is studied. (arxiv.org)
  • For this purpose four different non-linear models were used to define growth curves of turkeys, namely Gompertz, Logistic, Morgan-Mercer-Flodin (MMF), and Richards. (tubitak.gov.tr)
  • Considering model selection criteria, Gompertz, Logistic and Richards models seen to be suitable models for explaining Large White turkey growth. (tubitak.gov.tr)
  • gnm is a package for R , which provides facilities for specifying and fitting (by maximum likelihood) a broad class of generalized nonlinear models . (warwick.ac.uk)
  • With the ability to estimate parameters in specified loss functions, the Nonlinear platform becomes a powerful tool for fitting maximum likelihood models. (jmp.com)
  • Then use the Nonlinear platform to estimate the parameters using maximum likelihood. (jmp.com)
  • 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)
  • 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)
  • 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)
  • I thought that non-linear model might be more appropriate as prevalence # of hypertension may decrease asymptotically. (ethz.ch)
  • 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)
  • An improved linear quadratic Gaussian optimal control model, rather than the original optimal control problem, is solved. (aimsciences.org)
  • In this correspondence new robust nonlinear model construction algorithms for a large class of linear-in-the-parameters models are introduced to enhance model robustness via combined parameter regularization and new robust structural selective criteria. (soton.ac.uk)
  • Linear and non-linear models were used to determine and predict the relationships between input and output variables. (mdpi.com)
  • 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)
  • 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)
  • S. Kumar, R. Bhoopal, P. Sharma, R. Beniwal and R. Singh, "Non-Linear Effect of Volume Fraction of Inclusions on The Effective Thermal Conductivity of Composite Materials: A Modified Maxwell Model," Open Journal of Composite Materials , Vol. 1 No. 1, 2011, pp. 10-18. (scirp.org)
  • 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)
  • As Robust PCA is an efficient tool to seek a clean low-rank linear subspace, a novel kernelized Robust PCA (KRPCA) is proposed to cope with nonlinear distribution for statistical shape modeling. (fraunhofer.de)
  • Recently, Dr Tom Eaves proposed a categorisation scheme for oceanographic data taken at a single instant in time, which aims to distinguish between these three instabilities at linear and nonlinear levels (predicting what type of mixing will happen next, and what type of mixing just occurred, respectively). (findaphd.com)
  • We will investigate to what extent the linear and nonlinear categorisation algorithms agree with one another (a prediction at one time about what is about to happen should agree with a prediction at some later time about what just occurred), in addition to probing the mathematics underlying the categorisation schemes to build and interrogate nonlinear flow structures associated with stratified shear flows. (findaphd.com)
  • Hence, a variable order Multi-Harmonic Volterra (MHV) model is proposed to extend the PHD model formulation to strong non- linear devices. (uwaterloo.ca)
  • To improve the capacity of solving large-scale problems, we propose a low-rank factorization model and construct a nonlinear successive over-relaxation (SOR) algorithm that only requires solving a linear least squares problem per iteration. (optimization-online.org)
  • Sin, G , Eliasson Lantz, A & Gernaey, K 2009, Sensitivity Analysis of Non-Linear Dynamic Models: Prioritizing Experimental Research . (dtu.dk)
  • The Cox proportional hazard model is being used extensively in survival analysis in studying the relationship between survival times and covariates, where the model assumes that the covariate has a log-linear effect on the hazard function. (ccsenet.org)
  • In order to extract a representative subset of features, various variable selection approaches have been proposed for survival data under the linear Cox model. (ccsenet.org)
  • Comparing the predicted residual errors with those from linear models provides a signal for nonlinearity. (lu.se)
  • P. D. Roberts, Optimal control of nonlinear systems with model-reality differences , Proceedings of the 31st IEEE Conference on Decision and Control, 1 (1992), 257-258. (aimsciences.org)
  • The experimental work was led by scientists at Harvard University while the theoretical modeling was developed at Ames Lab. (ameslab.gov)
  • Peter Orth, who led theory efforts at Ames as part of the CATS project, explained that the theoretical modeling was necessary to understand what was happening during the experiment. (ameslab.gov)
  • 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)
  • Then, the parameters in the PNABSR model are optimized using the adaptive intelligent algorithm to enhance the diagnostic ability. (mdpi.com)
  • Convergence of this nonlinear SOR algorithm is analyzed. (optimization-online.org)
  • Based on the PNABSR model, the expression of the signal-to-noise ratio (SNR) is derived, and the changes in the SNR with different parameters in the PNABSR model are analyzed. (mdpi.com)
  • Subsequently, the model optimum is updated using the adjusted parameters induced by the differences between the real plant and the model used. (aimsciences.org)
  • On the other hand, through the Gronwell's inequality, we prove a sensitivity property of the model, quantified by the control parameters and initial conditions. (esaim-proc.org)
  • Using a force relaxation test and a fast loading test at constant loading speed, the material/structural parameters underlying the proposed physical model could be identified. (cdc.gov)
  • In addition to frequency-specific energy metrics, noise exposure parameters and biological metrics such as kurtosis, noise type, and pre/ postexposure hearing thresholds were used as inputs to the model. (cdc.gov)
  • Thus nonlinear modelling can be an efficient way to model new and complex situations where relationships of different variables are not known. (wikipedia.org)
  • Strategies for Modelling Nonlinear Time-Series Relationships ," The Economic Record , The Economic Society of Australia, vol. 69(206), pages 233-238, September. (repec.org)
  • This model treats the density of organisms ρ ( r , t ) and the concentration of chemical attractants c ( r , t ) as continuous variables, where r denotes spatial coordinates and t means time, and describes the interplay between them. (nature.com)
  • For illustration, the optimal control of a nonlinear continuous stirred tank reactor problem is considered and solved by using the method proposed. (aimsciences.org)
  • P. D. Christofides and N. H. El-Farra, "Control of Nonlinear and Hybrid Process Systems: Designs for Uncertainty, Constraints and Time-Delays," Springer-Verlag, New York, 2005. (aimsciences.org)
  • The department of Science and Technology-Science and Engineering Research Board, government of India and Indian Society of Systems for Science and Engineering sponsored 3-day workshop on 'Machine Learning Concepts for Modelling and Control of Nonlinear Systems' was inaugurated by Dr Ravindra D Gudi, dean Alumni and Corporate affairs, IIT Mumbai on Jun 27 at MIT Manipal. (daijiworld.com)
  • Texas-Wisconsin Modeling and Control Consortium Report TWMCC-2002-02. (optimization-online.org)
  • A multicompartment mathematical model to study the dynamic behaviour of COVID-19 using vaccination as control parameter. (bvsalud.org)
  • To analyse novel coronavirus disease (COVID-19) transmission in India , this article provides an extended SEIR multicompartment model using vaccination as a control parameter. (bvsalud.org)
  • The resulting model improves DC drain current prediction by 5dB and improves funda- mental output-power prediction by 2dB. (uwaterloo.ca)
  • The MHV model improves the vector power-gain prediction by 3.4dB in realistic PA design applications, thereby providing better emulation of linearization techniques within a simulation environment. (uwaterloo.ca)
  • These results demonstrate the feasibility of developing such models for the prediction of NIHL in humans. (cdc.gov)
  • We investigate the sensitivity behaviour and the controllability for an aerobic wastewater model. (esaim-proc.org)
  • The successful and effective CAD tool based PA design relies on the availability of accurate nonlinear models to mimic the electro-thermal behaviour of RF transistors. (uwaterloo.ca)
  • Numerical tests show these changes improve the solver's performance on a standard suite of nonlinear algebraic systems. (nist.gov)
  • Numerous conceptual models or frameworks have been developed for dissemination and implementation processes that are applied in clinical settings and health systems (3). (cdc.gov)
  • Due to non-linearity of an interaction potential, the model admits regimes of both small and large return fluctuations. (ssrn.com)
  • We present a novel approach for learning nonlinear dynamic models, which leads to a new set of tools capable of solving problems that are otherwise difficult. (videolectures.net)
  • Statistical shape models (SSMs) are widely employed in medical image segmentation. (fraunhofer.de)
  • Three statistical learning models were developed to predict noiseinduced hearing loss (NIHL) from an archive of animal noise exposure data, which contains 936 chinchillas exposed to various noise environments. (cdc.gov)
  • Supersymmetry (SUSY) is then used to find time-dependent solutions of the model in an analytically tractable way. (ssrn.com)
  • In the present study, the nonlinear and time-dependent force responses of fingertips during dynamic contact have been investigated experimentally and theoretically. (cdc.gov)
  • A physical model was proposed to simulate the nonlinear and time-dependent force responses of fingertips during dynamic contact. (cdc.gov)
  • Our results suggest that the force responses of fingertips during the dynamic contacts are nonlinear and time-dependent. (cdc.gov)
  • 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)
  • the models then aim to discriminate between these 2 categories by using the predictor variables available. (cdc.gov)
  • The suggested model is numerically simulated using MATLAB 14.0, and the results confirm the capacity of the proposed model to provide an accurate forecast of the progress of the epidemic in India . (bvsalud.org)
  • 2. The model extraction procedure. (uwaterloo.ca)
  • While this addresses the fictitious need for higher-order models due to the deficiencies in the model extraction procedure, strongly nonlinear devices will require high-order models to achieve the targeted accuracy over a larger measurement distribution. (uwaterloo.ca)
  • Thus the nonlinear modelling can utilize production data or experimental results while taking into account complex nonlinear behaviours of modelled phenomena which are in most cases practically impossible to be modelled by means of traditional mathematical approaches, such as phenomenological modelling. (wikipedia.org)
  • This reduction has to be understood as simplification of the full model and will be validated through various numerical models and the results will be compared to experimental data in future research. (springer.com)
  • This project provides the first experimental proof of the nonlinear Hall effect, which has only been theorized to this point. (ameslab.gov)
  • The team was successful in their proving that the experimental results originate from the quantum metric nonlinear Hall Effect. (ameslab.gov)
  • We present experimental and computational studies of the propagation of internal waves in a stratified fluid with an exponential density profile that models the deep ocean. (utexas.edu)
  • We provide theory showing this new approach is consistent for models with long range structure, and apply the approach to motion capture and high-dimensional video data, yielding results superior to standard alternatives. (videolectures.net)
  • We present simple procedures for estimating nonlinear panel data models in the presence of unobserved heterogeneity and possible endogeneity with respect to time-varying unobservables. (repec.org)
  • Addressing these challenges, this work aims to create SSMs that are not only robust to abnormal training data but also satisfied with nonlinear distribution. (fraunhofer.de)
  • To break this gap, we extend the recently developed deep learning-based variable selection model LassoNet to survival data. (ccsenet.org)
  • It is a top-down data-driven model that discovers the eigenvectors and eigenvalues of a mapping matrix that relates 2 different snapshots of given data. (cdc.gov)
  • I will show how they allow us to disentangle how different merger scenarios and galaxy formation models distinctly contribute to the build-up of the diffuse stellar halos around Milky-Way-like galaxies, and provide a framework for interpreting Galactic data and constrain the Milky Way's history in a fully cosmological context. (lu.se)
  • We investigate a variant of this model, assuming that the organisms exert effective pressure proportional to the number density. (nature.com)
  • Nonlinear modelling can be utilized in situations where the phenomena are not well understood or expressed in mathematical terms. (wikipedia.org)
  • 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)
  • The estimation procedure makes sample counterparts to the population orthogonality conditions implied by the economic model close to zero. (econometricsociety.org)
  • In this paper, we proposed an SEIR model with Crowley-Martin-type incidence rate and Holling type II and III treatment rates. (amrita.edu)
  • Preliminary results suggests that the present model is capable of modelling focused wave events propagating in the numerical wave tank. (tudelft.nl)
  • Evaluation results show that the model built with KRPCA has a significantly higher quality than other state-of-the-art methods. (fraunhofer.de)
  • This is a first step towards modelling the interactions between pile and steep irregular waves. (tudelft.nl)