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Simulation-Based Methods
This chapter presents methods that combine stochastic simulation with other numerical tools to find approximate solutions on the model’s ergodic set....
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Determining the financial performance of the firms in the Borsa Istanbul sustainability index: integrating multi criteria decision making methods with simulation
Regardless of the industry in which a company operates, evaluating corporate performance is one of the most critical and vital processes; the most...
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Simulation-Based Analysis of Real-Time Reliability for Trend/Cycle Decompositions
When comparing methods for performing trend/cycle decompositions, real-time reliability properties are often highlighted as an important aspect to...
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Regression and Simulation
Entire books introduce the many aspects of regression. In this chapter, we emphasize the connection between regression and means and conditional...
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Weighted Residuals Methods
This chapter introduces readers to global methods, which, unlike local perturbation methods, draw on information from various points in the state...
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Identification-robust methods for comparing inequality with an application to regional disparities
We propose Fieller-type methods for inference on generalized entropy inequality indices in the context of the two-sample problem which covers testing...
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Cryptocurrency Exchange Simulation
In this paper, we consider the approach of applying state-of-the-art machine learning algorithms to simulate some financial markets. In this case, we...
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On Using Proportional Representation Methods as Alternatives to Pro-rata Based Order Matching Algorithms in Stock Exchanges
The first observation of the paper is that methods for determining proportional representation in electoral systems may be suitable as alternatives...
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Designing the Urban Thermal Environment Using Thermal Simulation
A method is introduced to predict the future thermal environment of a city by inputting a three-dimensional computer-aided design model of the area,...
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Envisioning post-capitalist utopias via simulation: Theory, critique and models
We discuss the role of heterodox economics in opening new perspectives, the question of scalability of socio-economic order, the heritage of the...
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Boosting the Scalability of Farm-Level Models: Efficient Surrogate Modeling of Compositional Simulation Output
Surrogate modeling can overcome computational and data-privacy constraints of micro-scale economic models and support their incorporation into...
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Land Use Simulation Models
This chapter presents a review of the literature on land use models structured according to disaggregation of space, time and decision-makers and...
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Economic Simulation Formulation
This chapter intends to simulate the economic growth of China under different regional innovation models through a simulation system that could...
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Macroeconomic Modelling and Bayesian Methods
This paper discusses the evolution of macroeconomic modelling. In particular, it focuses on Bayesian methods and provides some applications of the...
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Gaming Simulation: Terminology and Fundamentals
The aim of this chapter is to introduce the basic terminology and methodology of gaming simulation. We describe the main building blocks and elements...
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Numerical Solution Methods
We start by considering the stochastic optimal growth model of Chap. 4 , without taxes, explaining the...
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Cashless payment methods and COVID-19: evidence from Japanese consumer panel data
This study aimed to investigate whether consumers increased the use of cashless payments and reduced cash payments after the COVID-19 outbreak. In...
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Agent-Based Simulation for Service and Social Systems and Large-Scale Social Simulation Framework
Because of the dynamic and heterogeneous interactions among human beings with their bounded rationality, a service system discussed in Service...
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On the Modeling and Simulation of Portfolio Allocation Schemes: an Approach Based on Network Community Detection
We present a study on portfolio investments in financial applications. We describe a general modeling and simulation framework and study the impact...
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Penalized leads-and-lags cointegrating regression: a simulation study and two empirical applications
When leads and lags are added to a cointegrating regression to eliminate endogeneity bias, overfitting and multicollinearity problems can arise. For...
