期刊： COMPUTATIONAL STATISTICS, 2023; 38 (3)
In this work, we derive a geometric goodness-of-fit index similar to R-2 using geometric data analysis techniques. We build the alpha shape complex fr......
期刊： COMPUTATIONAL STATISTICS, 2023; 38 (2)
We propose a novel semi-parametric approach to feature selection in high-dimensional linear regression models. This sequential procedure is robust to ......
期刊： COMPUTATIONAL STATISTICS, 2023; ()
The Bayesian inference is widely used in many scientific and engineering problems, especially in the linear inverse problems in infinite-dimensional s......
期刊： COMPUTATIONAL STATISTICS, 2023; ()
Modelling real processes often results in several suitable models. In order to be able to distinguish, or discriminate, which model best represents a ......
期刊： COMPUTATIONAL STATISTICS, 2023; ()
Kernel methods are often used for nonlinear regression and classification in statistics and machine learning because they are computationally cheap an......
期刊： COMPUTATIONAL STATISTICS, 2023; 38 (2)
In this paper, we propose multivariate stochastic volatility models with a spherical parameterization of a Cholesky decomposition to make a time-depen......
期刊： COMPUTATIONAL STATISTICS, 2023; ()
Time series forecasting is an important application of many statistical methods. When it is appropriate to assume that the data may be projected towar......
期刊： COMPUTATIONAL STATISTICS, 2023; 38 (3)
Weather forecasts often affect daily lives of billions of people globally. Accurate forecasts can help combat and effectively mitigate damage caused b......
期刊： COMPUTATIONAL STATISTICS, 2023; 38 (2)
Standard parametric regression models are unsuitable when the aim is to predict a bounded continuous response, such as a proportion/percentage or a ra......
期刊： COMPUTATIONAL STATISTICS, 2023; ()
Identifying relevant variables among numerous potential predictors has been of primary interest in modern regression analysis. While stochastic search......
期刊： COMPUTATIONAL STATISTICS, 2023; ()
Housing is of primary importance for immigrants in New York City. This study analyzed the housing conditions of and price changes for residents in New......
期刊： COMPUTATIONAL STATISTICS, 2023; 38 (3)
A functional time series approach is proposed for investigating spatial correlation in daily maximum temperature forecast errors for 111 cities spread......
期刊： COMPUTATIONAL STATISTICS, 2023; ()
The Bayesian approach to solving inverse problems relies on the choice of a prior. This critical ingredient allows expert knowledge or physical constr......
期刊： COMPUTATIONAL STATISTICS, 2023; ()
Many modern statistical models are used for both insight and prediction when applied to data. When models are used for prediction one should optimise ......
期刊： COMPUTATIONAL STATISTICS, 2023; ()
In this study, constant-stress accelerated life testing has been investigated using type-II censoring of failure data from a truncated normal distribu......
