Results 141 to 150 of about 87,896 (215)

Registered index‐linked annuities in qualified retirement plans

Journal of Risk and Insurance, EarlyView.
Abstract Many Americans remain financially underprepared for retirement. While automatic enrollment in employer‐sponsored retirement plans has helped, target‐date funds (TDFs) used as default investments have limitations. We propose target‐date registered index‐linked annuities (TD‐RILAs) as a transparent, cost‐effective alternative providing ...
Cameron Ellis, Thorsten Moenig, Jacqueline Volkman‐Wise   +2 more
wiley   +1 more source

Algorithms and tools for data-driven omics integration to achieve multilayer biological insights: a narrative review. [PDF]

J Transl Med
Morabito A, De Simone G, Pastorelli R, Brunelli L, Ferrario M.   +4 more
europepmc   +1 more source

Spatio‐temporal risk sharing and transfer: A unified theory of multi‐period decentralized insurances and annuities

Journal of Risk and Insurance, EarlyView.
Abstract Two distinct strands of research focus on decentralized risk sharing plans. One strand centers on classic risk sharing and decentralized insurance, including peer‐to‐peer insurance, mutual aid, and DeFi insurance. The other explores decentralized annuities, such as tontine and group self‐annuitization. Despite their disparate development paths,
Runhuan Feng, Peixin Liu
wiley   +1 more source

Machine learning based prediction of cognitive metrics using major biomarkers in SuperAgers. [PDF]

Sci Rep
Lee HB, Kwon SY, Park JH, Kim B, Kim GH, Choi JH, Park YM.   +6 more
europepmc   +1 more source

Fractional gaussian noise: Spectral density and estimation methods

Journal of Time Series Analysis, EarlyView.
The fractional Brownian motion (fBm) process, governed by a fractional parameter H∈(0,1), is a continuous‐time Gaussian process with its increment being the fractional Gaussian noise (fGn). This article first provides a computationally feasible expression for the spectral density of fGn.
Shuping Shi, Jun Yu, Chen Zhang
wiley   +1 more source

Deep Learning and Neural Architecture Search for Optimizing Binary Neural Network Image Super Resolution. [PDF]

Biomimetics (Basel)
Su Y, Ang LM, Seng KP, Smith J.
europepmc   +1 more source

Testing in GARCH‐X models: boundary, correlations and bootstrap theory

Journal of Time Series Analysis, EarlyView.
In this article, we consider the so‐called Fixed Shrinkage (FS) bootstrap for the class of GARCH models with explanatory variables (GARCH‐X). Under the assumption of stationary covariates, the proposed FS bootstrap does not require modeling the covariates, as these are kept fixed in the bootstrap generating process. Our main focus is on testing whether
Heino Bohn Nielsen, Rasmus Søndergaard Pedersen, Anders Rahbek, Sigurd Nellemann Thorsen   +3 more
wiley   +1 more source

Dual-Path Large Kernel Learning and Its Applications in Single-Image Super-Resolution. [PDF]

Sensors (Basel)
Su Z, Sun M, Jiang H, Ma X, Zhang R, Lv C, Kou Q, Cheng D.   +7 more
europepmc   +1 more source

Bubbles and crashes: A tale of quantiles

Journal of Time Series Analysis, EarlyView.
Periodically collapsing bubbles, if they exist, induce asymmetric dynamics in asset prices. In this article, I show that unit root quantile autoregressive models can approximate such dynamics by allowing the largest autoregressive root to take values below unity at low quantiles, which correspond to price crashes, and above unity at upper quantiles ...
Efthymios G. Pavlidis
wiley   +1 more source

Multi-Source Remote Sensing Data for Wetland Information Extraction: A Case Study of the Nanweng River National Wetland Reserve. [PDF]

Sensors (Basel)
Yu H, Li S, Liang Z, Xu S, Yang X, Li X.
europepmc   +1 more source