Results 81 to 90 of about 118,514 (262)
Bias-Correcting the Realized Range-Based Variance in the Presence of Market Microstructure Noise [PDF]
Market microstructure noise is a challenge to high-frequency based estimation of the integrated variance, because the noise accumulates with the sampling frequency.
Christensen, Kim +2 more
core
Abstract The oval window (OW) is an opening connecting the inner and middle ear. Its area has been shown to consistently scale with body mass (BM) in primates, and has been used alongside semi‐circular canal (SCC) size to differentiate Homo sapiens and fossil hominins, including Paranthropus robustus.
Ruy Fernandez, José Braga
wiley +1 more source
Background & Aim: Multi-state models can help better understand the process of chronic diseases such as cancers. These models are influenced by assumptions like individual homogeneity.
Ali Zare +5 more
doaj
On Data-Enriched Logistic Regression
Biomedical researchers typically investigate the effects of specific exposures on disease risks within a well-defined population. The gold standard for such studies is to design a trial with an appropriately sampled cohort.
Cheng Zheng +4 more
doaj +1 more source
This paper develops an efficient bi-iterative source location and propagation speed estimation method utilizing time difference of arrival (TDOA) measurements.
Guo-Hui Zhu, Da-Zheng Feng, Yan Zhou
doaj +1 more source
Multipower Variation Under Market Microstructure Effects [PDF]
The asymptotic theories used to estimate the integrated variance using realised variance or multipower variation suggest that returns should be sampled at the highest possible frequency.
Carla Ysusi
core
The finite-sample effects of VAR dimensions on OLS bias, OLS variance, and minimum MSE estimators: Purely nonstationary case [PDF]
Vector autoregressions (VARs) are an important tool in time series analysis. However, relatively little is known about the nite-sample behaviour of parameter estimators.
Lawford, S, Stamatogiannis, M P
core
N‐of‐1 trials offer a unique and rigorous methodology for evaluating individualized treatment responses, particularly within the context of personalized medicine. This article provides a comprehensive explanation of the conceptual and methodological underpinnings of N‐of‐1 trials, with particular emphasis on statistical techniques and considerations ...
Marcos Clint Leal De Carvalho +5 more
wiley +1 more source
Trending Time-Varying Coefficient Models With Serially Correlated Errors [PDF]
In this paper we study time-varying coefficient models with time trend function and serially correlated errors to characterize nonlinear, nonstationary and trending phenomenon in time series.
Cai, Zongwu
core +1 more source
ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro +3 more
wiley +1 more source

