Zobrazeno 1 - 10
of 350 997
pro vyhledávání: '"Cox P"'
Data sharing barriers are paramount challenges arising from multicenter clinical studies where multiple data sources are stored in a distributed fashion at different local study sites. Particularly in the case of time-to-event analysis when global ri
Externí odkaz:
http://arxiv.org/abs/2409.04716
Survival analysis is an important research topic with applications in healthcare, business, and manufacturing. One essential tool in this area is the Cox proportional hazards (CPH) model, which is widely used for its interpretability, flexibility, an
Externí odkaz:
http://arxiv.org/abs/2410.19081
This paper studies two related stochastic processes driven by Brownian motion: the Cox-Ingersoll-Ross (CIR) process and the Bessel process. We investigate their shared and distinct properties, focusing on time-asymptotic growth rates, distance betwee
Externí odkaz:
http://arxiv.org/abs/2410.13231
Autor:
Kwok, Ngok Sang, Wong, Kin Yau
Regression analysis with missing data is a long-standing and challenging problem, particularly when there are many missing variables with arbitrary missing patterns. Likelihood-based methods, although theoretically appealing, are often computationall
Externí odkaz:
http://arxiv.org/abs/2410.11482
Autor:
Baki, Zhuldyzay
Induced seismicity due to fluid extraction or injection has become a critical issue in regions with extensive hydrocarbon production, such as the Groningen gas field in the Netherlands. This study examines the relationship between pore pressure chang
Externí odkaz:
http://arxiv.org/abs/2409.18837
The paper proposes a novel approach of survival transformers and extreme gradient boosting models in predicting cognitive deterioration in individuals with mild cognitive impairment (MCI) using metabolomics data in the ADNI cohort. By leveraging adva
Externí odkaz:
http://arxiv.org/abs/2409.16231
Accurate loss reserving is crucial in Property and Casualty (P&C) insurance for financial stability, regulatory compliance, and effective risk management. We propose a novel micro-level Cox model based on hidden Markov models (HMMs). Initially formul
Externí odkaz:
http://arxiv.org/abs/2409.12896
Understanding the spread of infectious diseases such as COVID-19 is crucial for informed decision-making and resource allocation. A critical component of disease behavior is the velocity with which disease spreads, defined as the rate of change betwe
Externí odkaz:
http://arxiv.org/abs/2409.05036
We study the Volterra Volterra Cox-Ingersoll-Ross process on $\mathbb{R}_+$ and its stationary version. Based on a fine asymptotic analysis of the corresponding Volterra Riccati equation combined with the affine transformation formula, we first show
Externí odkaz:
http://arxiv.org/abs/2409.04496