Search Results - subject:"soft computing"

Computing time-consistent equilibria : a perturbation approach

Dennis, Richard J. - 2020

Persistent link: https://www.econbiz.de/10012542431

Surface vector fields estimation using soft computing and remote sensing data at an open water marine renewable test site

Ren, Lei; Miao, Jianming; Hartnett, Michael - In: Energy reports 6 (2020) 1, pp. 874-877

waves since July 2011. In this research, a soft computing approach was applied to estimate surface vector fields using the … observed radar data. Results indicate that soft computing is a novel and promising method to estimate surface vector fields. It …

Persistent link: https://www.econbiz.de/10012178315

Prediction of European stock indexes using neuro-fuzzy technique

Janková, Zuzana; Dostál, Petr - In: Trends Economics and Management 14 (2020) 35, pp. 45-57

as V4, by means of soft computing. The tested model is constructed by a combination of fuzzy logic and artificial neural …

Persistent link: https://www.econbiz.de/10015186072

Surface vector fields estimation using soft computing and remote sensing data at an open water marine renewable test site

Ren, Lei; Miao, Jianming; Hartnett, Michael - In: Energy Reports 6 (2020) 1, pp. 874-877

Persistent link: https://www.econbiz.de/10012652198

Welfare Consequences of Approximation Methods in a Nonlinear Model

Mineyama, Tomohide - 2020

In this paper, I examine the welfare consequences of conventional approximation methods in business cycle analysis: the log-linear approximation of model dynamics and the second-order approximation of social welfare. In a canonical New Keynesian model, the approximation around the deterministic...

Persistent link: https://www.econbiz.de/10012828152

Computing Time-Consistent Equilibria : A Perturbation Approach

Dennis, Richard J. - 2020

Time-consistency is a key feature of many important policy problems, such as those relating to optimal fiscal policy and optimal monetary policy. It is also important for private-sector decision-making through mechanisms such as quasi-hyperbolic discounting. These problems are generally solved...

Persistent link: https://www.econbiz.de/10014090015

Approximate Methods for Bayesian Computation

Craiu, Radu V.; Levi, Evgeny - 2023

Rich data generating mechanisms are ubiquitous in this age of information and require complex statistical models to draw meaningful inference. While Bayesian analysis has seen enormous development in the last 30 years, benefitting from the impetus given by the successful application of Markov...

Persistent link: https://www.econbiz.de/10014259418

Approximate variational estimation for a model of network formation

Mele, Angelo; Zhu, Lingjiong - In: The review of economics and statistics 105 (2023) 1, pp. 113-124

Persistent link: https://www.econbiz.de/10014293245

CDS approximation accuracy improvement with cart and random forest algorithms based on a time span including the COVID-19 pandemic period

Mercadier, Mathieu - In: Recent trends in financial engineering : towards more …, (pp. 39-63). 2023

Persistent link: https://www.econbiz.de/10013462187

Soft computing in business: exploring current research and outlining future research directions

Surabhi Singh; Shiwangi Singh; Koohang, Alex; Sharma, Anuj - In: Industrial Management & Data Systems 123 (2023) 8, pp. 2079-2127

Purpose The primary aim of this study is to detail the use of soft computing techniques in business and management … structure of soft computing in the business literature. Design/methodology/approach This research offers a comprehensive … overview of the field by synthesising 43 years (1980–2022) of soft computing research from the Scopus database. It employs …

Persistent link: https://www.econbiz.de/10014825511