The path to room-temperature superconductivity: A programmatic approach. [PDF]
Prasankumar RP +15 more
europepmc +1 more source
On inequalities involving n -polynomial exponential-type convex functions
Muhammad Samraiz +4 more
openalex +1 more source
From gateway to value ladder—The curious case of online mutual aid in China
Abstract This study examines how InsurTech‐enabled information provision, specifically the disclosure of claimant information previously unavailable in conventional insurance, influences individuals' insurance uptake. We leverage Mutual Aid (MA) platforms as a natural context to examine how socially framed loss information, peer influence, and salience
Ze Chen +3 more
wiley +1 more source
PAC-Bayes Guarantees for Data-Adaptive Pairwise Learning. [PDF]
Zhou S, Lei Y, Kabán A.
europepmc +1 more source
The influence of negative interest rates on European life insurance companies
Abstract Between 2016 and 2022, life insurers in several European countries experienced negative long‐term interest rates, which put pressure on their business models. The aim of this paper is to empirically investigate the impact of negative interest rates on the stock performance of life insurers.
Nicolaus Grochola
wiley +1 more source
Non-fragile control of switched systems with memory feedback based on convex optimization. [PDF]
Zhou J, Zhang X.
europepmc +1 more source
ABSTRACT With the advent of the Internet of Things, it is increasingly common to have large networks of sensors, where each sensor may collect different types of data, has limited local computing resources and the ability to transmit data to a central cloud. Detecting events that trigger changes in sensor data properties is a key concern.
Ziyang Yang +2 more
wiley +1 more source
A Positive Semidefinite Safe Approximation of Multivariate Distributionally Robust Constraints Determined by Simple Functions. [PDF]
Dienstbier J, Liers F, Rolfes J.
europepmc +1 more source
Sequential Outlier Detection in Nonstationary Time Series
ABSTRACT A novel method for sequential outlier detection in nonstationary time series is proposed. The method tests the null hypothesis of “no outlier” at each time point, addressing the multiple testing problem by bounding the error probability of successive tests, using extreme‐value theory. The asymptotic properties of the test statistic are studied
Florian Heinrichs +2 more
wiley +1 more source
Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley +1 more source

