Results 31 to 40 of about 6,450 (280)
Penalized additive regression for space-time data: a Bayesian perspective [PDF]
, 2003 We propose extensions of penalized spline generalized additive models for analysing space-time regression data and study them from a Bayesian perspective.
Stefan Lang +5 more
core +1 more source
Examination of wrist and hip actigraphy using a novel sleep estimation procedure
Sleep Science, 2014 Objective: Improving and validating sleep scoring algorithms for actigraphs enhances their usefulness in clinical and research applications. The MTI® device (ActiGraph, Pensacola, FL) had not been previously validated for sleep.
Meredith A. Ray +10 more
doaj +1 more source
Stats, 2020 In a functional linear model (FLM) with scalar response, the parameter curve quantifies the relationship between a functional explanatory variable and a scalar response.
Eduardo L. Montoya
doaj +1 more source
Jurnal Matematika Integratif, 2022 Untuk mencapai terciptanya kehidupan bermasyarakat yang aman dan damai, tindak kriminal menjadi salah satu hal yang sangat diperhatikan. Pada tahun 2020, di Indonesia terjadi 6.872 kejadian kejahatan terhadap kesusilaan dan 36.672 kejadian kejahatan ...
Reffa Ayu Anggraeni +2 more
doaj +1 more source
The Use of Spline, Bayesian Spline and Penalized Bayesian Spline Regression for Modeling
Journal of Scientific Research and Reports, 2015 Aims: The aim of this study is modeled the ratios of export to imports data in Turkey by using nonparametric regression methods. Study Design: This was Spline, Bayesian Spline and Penalized Spline Regression modeling study. Place and Duration of Study: Turkish Statistical Institute.
Erdoğan, M Sami, Oruç, Özlem Ege
openaire +3 more sources
Uniform convergence of penalized splines
Stat, 2020 Penalized splines are popular for nonparametric regression. We establish the minimax rate optimality of penalized splines for uniform convergence, thus improving the existing rate in the literature. The result is applicable to several types of penalized splines that are commonly used and holds under mild conditions on the design points.
Luo Xiao, Zhe Nan
openaire +2 more sources
THE USE OF PENALIZED WEIGHTED LEAST SQUARE TO OVERCOME CORRELATIONS BETWEEN TWO RESPONSES
Barekeng, 2022 The non-parametric regression model can consider two correlated responses. However, for these conditions, we cannot use the usual estimation process because there are violations of assumptions.
Anna Islamiyati +6 more
doaj +1 more source
Principle of Duality in Cubic Smoothing Spline
Mathematics, 2020 Fitting a cubic smoothing spline is a typical smoothing method. This paper reveals a principle of duality in the penalized least squares regressions relating to the method.
Ruixue Du, Hiroshi Yamada
doaj +1 more source
OUTLIER IDENTIFICATION ON PENALIZED SPLINE REGRESSION MODELING FOR POVERTY GAP INDEX IN JAVA
Barekeng, 2022 Java is one of the islands in Indonesia which has good establishment acceleration. Even though economic growth was good, poverty is still a serious problem.
Anggita Rizky Fadilah +2 more
doaj +1 more source
Stats, 2022 Propensity score (PS) based methods, such as matching, stratification, regression adjustment, simple and augmented inverse probability weighting, are popular for controlling for observed confounders in observational studies of causal effects.
Tingting Zhou +2 more
doaj +1 more source