Results 181 to 190 of about 1,311 (253)
Testing Quantum Satisfiability. [PDF]
Commun Math PhysMontanaro A, Shao C, Verdon D, Verdon D.
europepmc +1 more source
Contingent capital: A tale of two valuations
Journal of Risk and Insurance, EarlyView.Abstract This study investigates the valuation gap between buyers and sellers of insurers' contingent capital, driven by asymmetric exposures to tax benefits, capital injections, and bankruptcy costs. We develop a novel Twin‐Tree Model with Jumps (TTMJ) that models the insurer's asset value dynamics by incorporating catastrophe risk, insolvency risk ...
Tian‐Shyr Dai +3 more
wiley +1 more source
A Conditional Privacy-Preserving Identity-Authentication Scheme for Federated Learning in the Internet of Vehicles. [PDF]
Entropy (Basel)Xu S, Liu R.
europepmc +1 more source
Journal of Time Series Analysis, EarlyView.ABSTRACT Expectile is a coherent and elicitable law‐invariant risk measure widely applied in risk management. Existing methods based on iteratively reweighted least squares (IWLS) are not computationally efficient for large‐scale sample sizes. To overcome the issue, we develop a direct nonparametric conditional expectile function estimator by inverting
Feipeng Zhang, Ping‐Shou Zhong
wiley +1 more source
Gradient Descent Provably Escapes Saddle Points in the Training of Shallow ReLU Networks. [PDF]
J Optim Theory ApplCheridito P, Jentzen A, Rossmannek F.
europepmc +1 more source
Sparse Causal Dynamic Linear Regression
Journal of Time Series Analysis, EarlyView.ABSTRACT We develop a sparse causal dynamic regression framework for long multivariate time series. With very long time series, the potentially large number of lags and leads in a dynamic regression model often makes time‐domain estimation numerically unstable or intractable.
Rui Huang, Kung‐Sik Chan
wiley +1 more source
A Construction of Optimal One-Coincidence Frequency-Hopping Sequences via Generalized Cyclotomy. [PDF]
Entropy (Basel)Shao M, Miao Y.
europepmc +1 more source
Reinforcement Learning for Jump‐Diffusions, With Financial Applications
Mathematical Finance, EarlyView.ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley +1 more source
Quality of basketballs of international level sports using an intelligent decision algorithm involving multiple experts. [PDF]
Sci RepMao C.
europepmc +1 more source
Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach
Mathematical Finance, EarlyView.ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović +4 more
wiley +1 more source