期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 222 ()
Row-column designs are widely recommended for experimental situations when there are two well-identified factors that are cross-classified representin......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 223 ()
We derive Poisson limit theorems for the multinomial Cressie-Read goodness-of-fit statistics and some of their modifications under the assumption that......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 224 ()
We prove the large deviation principle (LDP) for posterior distributions arising from subfamilies of full exponential families, allowing misspecificat......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 224 ()
In practical applications of image classification, methods based on convolutional neural networks are used as standard nowadays. However, the success ......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 225 ()
Statistical matching aims to integrate two statistical sources. These sources can be two samples or a sample and the entire population. If two samples......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 225 ()
Expectiles form a family of risk measures that have recently gained interest over the more common value-at-risk or return levels, primarily due to the......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 225 ()
We present general results on D-optimal designs for estimating the mean response in repeated measures growth curve models with metric outcomes. For th......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 222 ()
Estimation of a regression function from independent and identically distributed data is considered. The L-2 error with integration with respect to th......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 224 ()
For testing goodness of fit, we consider a class of U-statistics of overlapping spacings of order two, and investigate their asymptotic properties. Th......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 225 ()
This paper presents a new test procedure for the identity of a correlation matrix in high-dimensional asymptotic frameworks, the statistic of which is......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 226 ()
Space-filling designs are useful for exploring the relationship between the response and factors, especially when the true model is unknown. The wrap-......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 222 ()
In the estimation of the mean matrix in a multivariate normal distribution, the generalized Bayes estimators with closed forms are provided, and the s......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 225 ()
High dimensional simulation of exchangeable multivariate Bernoulli distributions is a challenging and important issue in applications, for example in ......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 222 ()
Multi-response linear models and dependent features arise in many modern scientific problems. In this paper, we aim to learn the regression coefficien......
期刊： JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023; 224 ()
This article proposes a model-free feature screening method for ultrahigh-dimensional data. The proposed method is built on the called kernel-based co......
