One parameter stochastic distribution of ratio for cross-disciplinary applications: system reliability, healthcare, and energy consumption [0.03%]
适用于跨学科应用的比率一参量随机分布：系统可靠性、医疗保健和能源消耗
Muhammad Ilyas,Muhammad Mohsin
Muhammad Ilyas
Statistical modeling of real-life phenomena analyzes their behavior and patterns by quantifying the inherent uncertainty and describes the possible outcomes which help to make proactive strategies attaining optimum results. This paper intro...
Adelaide Figueiredo,Fernanda Figueiredo
Adelaide Figueiredo
When directional data fall in the positive orthant of the unit hypersphere, a folded directional distribution is preferred over a simple directional distribution for modeling the data. Since directional data, especially axial data, can be m...
An improved LDA dimension reduction algorithm for multivariate time series classification [0.03%]
多元时间序列分类的改进LDA降维算法
Hongyu Zhou,Yunling Kang,Guidong Liu et al.
Hongyu Zhou et al.
In recent years, multivariate time series (MTS) classification has gradually become a research hotspot. However, due to the high-dimensional nature of MTS, directly classifying them often leads to suboptimal results. As a result, existing m...
Optimal group sizes for testing group mean differences using the Bayes factor [0.03%]
使用贝叶斯因子检验平均数差异时的最优组大小
Mirjam Moerbeek
Mirjam Moerbeek
Determination of group sizes is an important issue when planning a study that aims to compare mean outcomes across groups. Using equal group sizes is not the best choice in the case of heterogeneous costs and/or variances. Conventional opti...
Ridge-penalized Zero-Inflated Probit Bell model for multicollinearity in count data [0.03%]
岭惩罚零膨胀Probit Bell模型在计数数据多重共线性中的应用
Essoham Ali,Adewale F Lukman
Essoham Ali
This article develops a ridge estimator for the Zero-Inflated Probit Bell (ZIPBell) regression model. The ZIPBell model adapts the Zero-Inflated Bell (ZIBell) model originally proposed by Lemonte et al. (2019) by employing a probit link fun...
Jana Burkotová,Ivana Pavlů,Hiba Nassar et al.
Jana Burkotová et al.
Probability density functions form a specific class of functional data objects with intrinsic properties of scale invariance and relative scale characterized by the unit integral constraint. The Bayes spaces methodology respects their speci...
A constrained robust Markov regime-switching model for long-term risk evaluation [0.03%]
一种约束的鲁棒马尔可夫制交换模型用于长期风险评估
Shanshan Qin,Beibei Guo,Yuehua Wu et al.
Shanshan Qin et al.
Markov Regime-Switching (MRS) models are widely used for modeling equity return time series. Yet standard MRS models may inadequately capture the mean reversion behavior of long-term equity returns and exhibit unstable parameter estimation ...
Bayesian biomarker effect estimate for combining data from multiple biomarker studies [0.03%]
结合多个生物标志物研究数据的贝叶斯生物标志物效应估计方法
Zhiwei Rong,Jiali Song,Fengyu Sun et al.
Zhiwei Rong et al.
Pooling data from multiple studies enhances statistical power and precision for quantifying biomarker-disease associations. However, inter-study variability in biomarker measurements exists, requiring calibration to a reference assay to sta...
Estimating Baseline Cutoffs for DHA Dosage in Preterm Birth Prevention: A Bayesian Personalized Change-Point Analysis [0.03%]
基于贝叶斯个性化变点分析的大剂量DHA预防早产的基准临界值估算研究
Jianzheng Wu,Danielle N Christifano,Susan E Carlson et al.
Jianzheng Wu et al.
Preterm birth (PTB,
Bijit Roy,Emmanuel Lesaffre
Bijit Roy
Most model selection criteria, such as Akaike's Information Criterion or Widely Applicable Information Criterion are based on a global measure of out of sample prediction accuracy for the responses. But such criteria may not do a good job w...