Online Bayesian changepoint detection for network Poisson processes with community structure [0.03%]
具有社区结构的网络泊松过程的在线贝叶斯变点检测方法
Joshua Corneck,Edward A K Cohen,James S Martin et al.
Joshua Corneck et al.
Network point processes often exhibit latent structure that govern the behaviour of the sub-processes. It is not always reasonable to assume that this latent structure is static, and detecting when and how this driving structure changes is ...
A new p-value based multiple testing procedure for generalized linear models [0.03%]
基于p值广义线性模型下多重假设检验的新方法
Joseph Rilling,Cheng Yong Tang
Joseph Rilling
This study introduces a novel p-value-based multiple testing approach tailored for generalized linear models. Despite the crucial role of generalized linear models in statistics, existing methodologies face obstacles arising from the hetero...
Estimation and model selection for finite mixtures of Tukey's g- &- h distributions [0.03%]
有限混合Tukey's g-&-h分布的估计和模型选择
Tingting Zhan,Misung Yi,Amy R Peck et al.
Tingting Zhan et al.
A finite mixture of distributions is a popular statistical model, which is especially meaningful when the population of interest may include distinct subpopulations. This work is motivated by analysis of protein expression levels quantified...
Lorenzo Rimella,Chris Jewell,Paul Fearnhead
Lorenzo Rimella
Inference for high-dimensional hidden Markov models is challenging due to the exponential-in-dimension computational cost of calculating the likelihood. To address this issue, we introduce an innovative composite likelihood approach called ...
Using prior-data conflict to tune Bayesian regularized regression models [0.03%]
利用先验数据冲突来调整贝叶斯正则化回归模型
Timofei Biziaev,Karen Kopciuk,Thierry Chekouo
Timofei Biziaev
In high-dimensional regression models, variable selection becomes challenging from a computational and theoretical perspective. Bayesian regularized regression via shrinkage priors like the Laplace or spike-and-slab prior are effective meth...
Enhancing Cure Rate Analysis Through Integration of Machine Learning Models: A Comparative Study [0.03%]
通过集成机器学习模型增强治愈率分析：一项比较研究
Wisdom Aselisewine,Suvra Pal
Wisdom Aselisewine
Cure rate models have been thoroughly investigated across various domains, encompassing medicine, reliability, and finance. The merging of machine learning (ML) with cure models is emerging as a promising strategy to improve predictive accu...
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores [0.03%]
基于平均残差平方分数的分层算法 funBIAlign 功能基序发现算法
Jacopo Di Iorio,Marzia A Cremona,Francesca Chiaromonte
Jacopo Di Iorio
Motif discovery is gaining increasing attention in the domain of functional data analysis. Functional motifs are typical "shapes" or "patterns" that recur multiple times in different portions of a single curve and/or in misaligned portions ...
A Bayesian multilevel model for populations of networks using exponential-family random graphs [0.03%]
基于指数随机图的网络人群的贝叶斯多层次模型
Brieuc Lehmann,Simon White
Brieuc Lehmann
The collection of data on populations of networks is becoming increasingly common, where each data point can be seen as a realisation of a network-valued random variable. Moreover, each data point may be accompanied by some additional covar...
Evaluation of combinatorial optimisation algorithms for c-optimal experimental designs with correlated observations [0.03%]
相关观察下的实验设计的组合优化算法评估
Samuel I Watson,Yi Pan
Samuel I Watson
We show how combinatorial optimisation algorithms can be applied to the problem of identifying c-optimal experimental designs when there may be correlation between and within experimental units and evaluate the performance of relevant algor...
A fast look-up method for Bayesian mean-parameterised Conway-Maxwell-Poisson regression models [0.03%]
一种用于贝叶斯均值参数化的康威-麦克斯韦泊松回归模型的快速查找方法
Pete Philipson,Alan Huang
Pete Philipson
Count data that are subject to both under and overdispersion at some hierarchical level cannot be readily accommodated by classic models such as Poisson or negative binomial regression models. The mean-parameterised Conway-Maxwell-Poisson d...