Results 121 to 130 of about 116,470 (286)
Dirichlet product and the multiple Dirichlet series over function fields
, 2020 Yoshinori Hamahata
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Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
Journal of Economic Surveys, EarlyView.ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
On Lacunary Dirichlet Series [PDF]
Proceedings of the American Mathematical Society, 1950 Hirschman, I. I. jun., Jenkins, J. A.
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Agents' Behavior and Interest Rate Model Optimization in DeFi Lending
Mathematical Finance, EarlyView.ABSTRACT Contrasting sharply with traditional money, bond, and bond futures markets, where interest rates emerge organically from participant interactions, DeFi lending platforms employ rule‐based interest rates that are algorithmically set. Thus, the selection of an effective interest rate model (IRM) is paramount for the success of a lending protocol.
Charles Bertucci +4 more
wiley +1 more source
Subconvexity of a double Dirichlet series over the Gaussian field [PDF]
, 2022 Peng Gao, Liangyi Zhao
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The Racialisation of Rape: A Far‐Right Tool for Boundary‐Creation Across Borders
Nations and Nationalism, EarlyView.ABSTRACT Far‐right parties and movements have increasingly come to incorporate ideas of gender equality into their political agendas. While seemingly out of concern for women's rights and safety, these issues are in reality seldom more than a veil to further the stigmatisation of Muslim men.
Mathilda Åkerlund
wiley +1 more source
An analytic continuation for certain functions defined by Dirichlet series [PDF]
, 1967 R. D. Dixon
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Bayesian Inference for Joint Estimation Models Using Copulas to Handle Endogenous Regressors
Oxford Bulletin of Economics and Statistics, EarlyView.ABSTRACT This study proposes a Bayesian approach for finite‐sample inference of the Gaussian copula endogeneity correction. Extant studies use frequentist inference, build on a priori computed estimates of marginal distributions of explanatory variables, and use bootstrapping to obtain standard errors. The proposed Bayesian approach facilitates precise
Rouven E. Haschka
wiley +1 more source
On the domains of convergence of the double random Dirichlet series
, 2009 O. Yu. Zadorozhna, O. B. Skaskiv
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