筛选条件 共查询到500条结果
排序方式
An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19

期刊: JOURNAL OF APPLIED STATISTICS, 2023; 50 (3)

In recent days, COVID-19 pandemic has affected several people's lives globally and necessitates a massive number of screening tests to detect the exis......

Analysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studies

期刊: JOURNAL OF APPLIED STATISTICS, 2023; 50 (3)

The National Heart, Lung and Blood Institute Growth and Health Study (NGHS) is a large longitudinal study of childhood health. A main objective of the......

Functional distributional clustering using spatio-temporal data

期刊: JOURNAL OF APPLIED STATISTICS, 2023; 50 (4)

This paper presents a new method called the functional distributional clustering algorithm (FDCA) that seeks to identify spatially contiguous clusters......

Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets

期刊: JOURNAL OF APPLIED STATISTICS, 2023; 50 (4)

The clustering approach is widely accepted as the most prominent unsupervised learning problem in data mining techniques. This procedure deals with th......

A statistical testing procedure for validating class labels

期刊: JOURNAL OF APPLIED STATISTICS, 2023; 50 (8)

Motivated by an open problem of validating protein identities in label-free shotgun proteomics work-flows, we present a testing procedure to validate ......

A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19

期刊: JOURNAL OF APPLIED STATISTICS, 2023; 50 (10)

In this paper, we propose a hierarchical Bayesian approach for modeling the evolution of the 7-day moving average for the number of deaths due to COVI......

The relationship between moderate to vigorous physical activity and metabolic syndrome: a Bayesian measurement error approach

期刊: JOURNAL OF APPLIED STATISTICS, 2023; 50 (10)

Metabolic Syndrome (MetS) is a serious condition that can be an early warning sign of heart disease and Type 2 diabetes. MetS is characterized by havi......

Observed heterogeneity in players' football performance analysis using PLS-PM

期刊: JOURNAL OF APPLIED STATISTICS, 2023; 50 (15)

Nowadays, data science is applied in several areas of daily life. There have been many applications to sports. In this context, the attention will be ......

Family of bivariate distributions on the unit square: theoretical properties and applications

期刊: JOURNAL OF APPLIED STATISTICS, 2023; ()

We introduce the bivariate unit-log-symmetric model based on the bivariate log-symmetric distribution (BLS) defined in Vila et al. [25] as a flexible ......

Diagnostic checks in time series models based on a new correlation coefficient of residuals

期刊: JOURNAL OF APPLIED STATISTICS, 2023; ()

For checking time series models, the Ljung-Box, Li-Mak and Zhu-Wang statistics play an important role, which use the Pearson's correlation coefficient......

Jointly modelling multiple transplant outcomes by a competing risk model via functional principal component analysis

期刊: JOURNAL OF APPLIED STATISTICS, 2023; 50 (1)

In many clinical studies, longitudinal biomarkers are often used to monitor the progression of a disease. For example, in a kidney transplant study, t......

Bayes factor testing of equality and order constraints on measures of association in social research

期刊: JOURNAL OF APPLIED STATISTICS, 2023; 50 (2)

Measures of association play a central role in the social sciences to quantify the strength of a linear relationship between the variables of interest......

Model-assisted estimation in high-dimensional settings for survey data

期刊: JOURNAL OF APPLIED STATISTICS, 2023; 50 (3)

Model-assisted estimators have attracted a lot of attention in the last three decades. These estimators attempt to make an efficient use of auxiliary ......

Imputed mean tensor regression for near-sited spatial temporal data

期刊: JOURNAL OF APPLIED STATISTICS, 2023; ()

Modern spatial temporal data are often collected from sensor networks. Missing data problems are common to this kind of data. Making accurate imputati......

共500条页码: 1/34页15条/页