Best constants in subelliptic fractional Sobolev and Gagliardo-Nirenberg inequalities and ground states on stratified Lie groups. [PDF]
Ghosh S, Kumar V, Ruzhansky M.
europepmc +1 more source
Population games with instantaneous behavior and the Rosenzweig-MacArthur model. [PDF]
Frølich EF, Thygesen UH.
europepmc +1 more source
ABSTRACT This study draws on framing theory to investigate how microfinance institutions (MFIs) strategically construct a vulnerability‐oriented organisational identity and how this framing influences their funding decisions during the pre‐campaign phase of prosocial crowdfunding.
Ana Paula Matias Gama +3 more
wiley +1 more source
Variational structures for the Fokker-Planck equation with general Dirichlet boundary conditions. [PDF]
Quattrocchi F.
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ABSTRACT This article investigates whether the unconventional monetary policy (UMP) measures pursued by the Federal Reserve, the Bank of England, the Bank of Japan, and the European Central Bank since the Global Financial Crisis (GFC) are associated with an appetite for cryptocurrency.
Niamh Wylie, Martha O'Hagan‐Luff
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Portfolio Optimization: A Neurodynamic Approach Based on Spiking Neural Networks. [PDF]
Khan AH, Mohammed AM, Li S.
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A Consistent Heteroskedasticity‐Robust LM‐Type Specification Test for Semiparametric Models
ABSTRACT This article develops a heteroskedasticity‐robust Lagrange Multiplier‐type specification test for semiparametric regression models. The test is able to detect a wide class of deviations from the null hypothesis. The test statistic is based on the estimates from the restricted semiparametric model, can be computed in a regression‐based way, and
Ivan Korolev
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A Sharp Quantitative Alexandrov Inequality and Applications to Volume Preserving Geometric Flows in 3D. [PDF]
Julin V, Morini M, Oronzio F, Spadaro E.
europepmc +1 more source
Variational Inference via Rényi Bound Optimization and Multiple-Source Adaptation. [PDF]
Zalman Oshri D, Fine S.
europepmc +1 more source
Decision Threshold Setting in Binary Classification Problems—A Behavioral Lens
ABSTRACT When binary classification models are wrong, managers face misclassification costs. Although false positive outcomes imply unnecessary mitigation efforts, false negative outcomes imply overlooking the class of interest. Humans calibrate these ai models supporting operational systems by adjusting the decision threshold that translates ...
Patrick Moder, Kai Hoberg, Felix Papier
wiley +1 more source

