Results 121 to 130 of about 2,017,563 (356)
Simple Closed-Form Formulas for Conditional Moments of Inhomogeneous Nonlinear Drift Constant Elasticity of Variance Process [PDF]
, 2022 Kittisak Chumpong +2 more
openalex +1 more source
AAVR Expression is Essential for AAV Vector Transduction in Sensory Hair Cells
Advanced Science, EarlyView.Decreased sensitivity to AAV vector transduction in the outer hair cells (OHCs) of adult mice is primarily attributed to reduction of AAVR (Kiaa0319l; Au040320). Knockout of AAVR reduces AAV vector transduction efficiency in both inner hair cells (IHCs) and OHCs in neonatal mice.
Fan Wu +8 more
wiley +1 more source
Bayesian Estimators for Small Area Models Shrinking Both Means and Variances [PDF]
Scandinavian Journal of Statistics, 44, 150-167 (2017), 2015 For small area estimation of area-level data, the Fay-Herriot model is extensively used as a model based method. In the Fay-Herriot model, it is conventionally assumed that the sampling variances are known whereas estimators of sampling variances are used in practice.
arxiv
On the Forecasting Accuracy of Multivariate GARCH Models [PDF]
This paper addresses the question of the selection of multivariate GARCH models in terms of variance matrix forecasting accuracy with a particular focus on relatively large scale problems.
Francesco Violante +2 more
core
Recent estimates of time-variation in the conditional variance and in the exchange risk premium [PDF]
, 1988 Jeffrey A. Frankel
openalex +1 more source
Advanced Science, EarlyView.Wei et al. establish a hair cell‐specific conditional knockout mouse model (Atp6v1b2fl/fl;Atoh1Cre/+), and demonstrate the importance of Atp6v1b2 for hair cell through maintaining the survival of lysosomes. A single administration of AAV‐ie‐Eh3‐mAtp6v1b2 through scala media at P0‐P2 realizes function compensation and restores hearing and balance ...
Gege Wei +15 more
wiley +1 more source
Reward-estimation variance elimination in sequential decision processes [PDF]
arXiv, 2018 Policy gradient methods are very attractive in reinforcement learning due to their model-free nature and convergence guarantees. These methods, however, suffer from high variance in gradient estimation, resulting in poor sample efficiency. To mitigate this issue, a number of variance-reduction approaches have been proposed.
arxiv
Presbycusis: Pathology, Signal Pathways, and Therapeutic Strategy
Advanced Science, EarlyView.In ARHL, the stria vascularis, acting as a cochlear battery, gradually loses its ability to maintain the endocochlear potential, leading to impaired hair cell function and progressive hearing loss. Single‐cell sequencing reveals age‐related cellular changes in the cochlea, providing insights into the underlying mechanisms of aging and potential ...
Xiaoxu Zhao +12 more
wiley +1 more source
Modeling Conditional Skewness in Stock Returns [PDF]
In this paper we propose a new GARCH-in-Mean (GARCH-M) model allowing for conditional skewness. The model is based on the so-called z distribution capable of modeling moderate skewness and kurtosis typically encountered in stock return series.
Markku Lanne, Pentti Saikkonen
core
Rational Design of Inner Ear Drug Delivery Systems
Advanced Science, EarlyView.Hearing loss is a common disease affecting many people, and inner ear lesions are one of the most important causes. This review focuses on the treatment of inner ear hearing loss by drug delivery systems. It includes the current methods and technologies developed, and it predicts possible directions.
Xiayidan Maimaitikelimu +5 more
wiley +1 more source