Search Results - subject:"Soft Computing"

Nearly optimal central limit theorem and bootstrap approximations in high dimensions

Chernozhukov, Victor; Četverikov, Denis N.; Koike, Yuta - 2021

In this paper, we derive new, nearly optimal bounds for the Gaussian approximation to scaled averages of n independent high-dimensional centered random vectors X1, . . . , Xn over the class of rectangles in the case when the covariance matrix of the scaled average is non-degenerate. In the case...

Persistent link: https://www.econbiz.de/10012482915

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Demystifying the math of the Coronavirus

Kohlberg, Elon; Neyman, Abraham - 2021

Persistent link: https://www.econbiz.de/10013364412

Deep Asymptotic Expansion : Application to Financial Mathematics

Iguchi, Yuga; Naito, Riu; Takahashi, Akihiko; Yamada, … - 2021 - Revised in February 2022

Persistent link: https://www.econbiz.de/10013339086

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

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

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

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/10012652198

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

Convex optimization based on global lower second-order models

Doikov, Nikita; Nesterov, Jurij Evgenʹevič - 2020

Persistent link: https://www.econbiz.de/10012286409