Online monitoring and early detection of influenza outbreaks using exponentially weighted spatial lasso: a case study in China during 2014-2020 [0.03%]
Shoumi Sarkar,Yuhang Zhou,Yang Yang et al.
Shoumi Sarkar et al.
Influenza poses a persistent public health threat in China, with substantial impacts on health and the economy, especially during seasonal epidemics and emerging outbreaks. Seasonality, local clustering, and serial correlation inherent in i...
Divan A Burger,Sean van der Merwe,Emmanuel Lesaffre
Divan A Burger
This study introduces an outlier-robust model for analyzing hierarchically structured bounded count data within a Bayesian framework, utilizing a logistic regression approach implemented in JAGS. Our model incorporates a t-distributed laten...
Abu Zar Md Shafiullah,Arden Miller
Abu Zar Md Shafiullah
Unreplicated two-level designs play an important role in screening experiments. Notably, Plackett-Burman designs (PBDs) and regular fractional factorial designs ( 2 k - p ) are commonly used for their flexible run sizes and orthogonal con...
Optimal design for matched pair cluster randomized trials with heterogeneous correlations and costs [0.03%]
Arpan Singh
Arpan Singh
Conducting studies using cluster randomized trials (CRTs) is often a costly endeavor. When budget constraints are present, it becomes crucial to design CRTs optimally under the given cost limitations. A matched pair CRT, is a trial in which...
Naiara C A Dos Santos,Jorge L Bazán,Artur J Lemonte
Naiara C A Dos Santos
In this article, we consider the discrete Bell distribution to introduce a new mixed-effects regression model that may be an interesting alternative to traditional mixed-effects models for count response variables. The new regression model ...
Joseph Boccardo,William Tanberg,Jeffrey C Miecznikowski
Joseph Boccardo
Sparse decomposition methods have been studied in the context of principal component analysis (PCA). Many of these methods control the number of non-zero elements of the eigenvector through the tuning of a regularization parameter(s). Other...
Kundan Singh,Chandrakant Lodhi,Yogesh Mani Tripathi et al.
Kundan Singh et al.
In this paper, we consider a balanced joint progressive type-II censoring scheme and develop inference procedures for populations exhibiting bathtub-shaped hazard rates. Such models are appropriate for modeling phenomena which indicate non-...
Unveiling topic dependencies through a multilevel topic model: a hierarchical approach to enhanced interpretability [0.03%]
Youngsun Kim,Hwan Chung,Saebom Jeon
Youngsun Kim
Topic modeling is a process that discovers key themes in unstructured text data by identifying the distribution of topics and words in a document, revealing hidden dimensions. Latent Dirichlet allocation is a widely used generative probabil...
Optimal ridge estimation in the restricted logistic semiparametric regression models using generalized cross-validation [0.03%]
Mahdi Roozbeh
Mahdi Roozbeh
Binary logistic semiparametric regression analysis is a commonly used statistical technique when the dependent variable is dichotomous or binary. In this analysis, the relationship between the success probability and certain explanatory var...
Detecting statistical interactions in immune receptor data: a comparative study [0.03%]
免疫受体数据中统计交互作用的检测：一项比较研究
Thomas Minotto,Ingrid Hobæk Haff,Enrico Riccardi et al.
Thomas Minotto et al.
Statistical interactions are part of numerous data generating processes and several methods have been developed to detect them. We here study immune receptors binding to antigens, where advanced machine learning techniques have proved usefu...