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Multiscale Model Reduction Multiscale Finite Element Methods and Their Generalizations
This monograph is devoted to the study of multiscale model reduction methods from the point of view of multiscale finite element methods.
Multiscale...
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The Cramér–Lundberg Model and Its Variants A Queueing Perspective
This book offers a comprehensive examination of the Cramér–Lundberg model, which is the most extensively researched model in ruin theory. It covers...
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Jackknife Model Averaging for Quantile Single-Index Coefficient Model
In the past two decades, model averaging, as a way to solve model uncertainty, has attracted more and more attention. In this paper, the authors...
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Optimal Velocity Model (OV Model)
The basic equation of motion for a many-particle system for the OV model is presented. The model describes a one-dimensional particle-following...
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Functor Categories, Model Theory, Algebraic Analysis and Constructive Methods FCMTCCT2 2022, Almería, Spain, July 11–15, Invited and Selected Contributions
This volume comprises selected contributions by the participants of the second "Functor Categories, Model Theory, Algebraic Analysis and Constructive...
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Bayesian Estimation and Model Selection for the Spatiotemporal Autoregressive Model with Autoregressive Conditional Heteroscedasticity Errors
The spatial and spatiotemporal autoregressive conditional heteroscedasticity (STARCH) models receive increasing attention. In this paper, we...
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Comparative study of physics-based model and machine learning model for epidemic forecasting and countermeasure
Forecasting the transmission patterns of infectious diseases is of paramount importance in gaining valuable insights into outbreak growth and...
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Cramér-Lundberg Model
In this chapter we discuss the conventional Cramér-Lundberg ruin model. The focus lies on evaluating transforms related to the all-time and...
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Realization and Model Reduction of Dynamical Systems A Festschrift in Honor of the 70th Birthday of Thanos Antoulas
This book celebrates Professor Thanos Antoulas's 70th birthday, marking his fundamental contributions to systems and control theory, especially model...
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Model-Based Methods
Model-based methods are often used to impute missing values. If the model assumptions are satisfied, these types of methods are often superior to...
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Model Verification & Validation
With the development of computer technology, various simulation models have been applied to take the place of physical experiments to save the time...
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Structural Stability of the Financial Market Model: Continuity of Superhedging Price and Model Approximation
The present paper continues the topic of our recent paper in the same journal, aiming to show the role of structural stability in financial modeling....
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Traffic Flow Model
AbstractThe main result of this study is a new mathematical model that describes the traffic flow movement dynamic of several vehicles. The model is...
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A marginalized zero-truncated Poisson regression model and its model averaging prediction
Counting data without zero category often occurs in many fields, such as social studies, clinical trials and economic phenomenon analyses....
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Jackknife Model Averaging for Composite Quantile Regression
In this paper, the authors propose a frequentist model averaging method for composite quantile regression with diverging number of parameters....
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A simple in-host model for COVID-19 with treatments: model prediction and calibration
In this paper, we provide a simple ODEs model with a generic nonlinear incidence rate function and incorporate two treatments, blocking the virus...
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Model Adaptation for Hyperbolic Balance Laws
In this work, we devise a model adaptation strategy for a class of model hierarchies consisting of two levels of model complexity. In particular, the...
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Stochastic average model methods
We consider the solution of finite-sum minimization problems, such as those appearing in nonlinear least-squares or general empirical risk...
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Misclassification analysis of discriminant model
This paper extends the criterion of the misclassification ratio of discriminant model and presents a new selection method of discriminant model. For...
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Several Properties of the Model Solution after Data Assimilation into the NEMO Ocean Circulation Model
AbstractSeveral characteristics and their dynamics, in particular, sea surface temperature simulated by the ocean circulation model of Nucleus for...
