Penalized splines model to estimate time-varying reproduction number for Covid-19 in India: A Bayesian semi-parametric approach [PDF]
Clinical Epidemiology and Global Health, 2022 Statistical modelling is pivotal in assessing intensity of a stochastic processes. Novel Corona virus disease demanded proactive measures to understand the severity of disease spread and to plan its control accordingly.
Ranjita Pandey, Himanshu Tolani
doaj +2 more sources
Robust Permutation Tests for Penalized Splines
Stats, 2022 Penalized splines are frequently used in applied research for understanding functional relationships between variables. In most applications, statistical inference for penalized splines is conducted using the random effects or Bayesian interpretation of ...
Nathaniel E. Helwig
doaj +2 more sources
Efficient curve fitting with penalized B-splines for oceanographic and ecological applications [PDF]
Scientific ReportsThis study introduces a penalized B-spline approach for estimating smooth curves, incorporating a total variation penalty to balance flexibility and interpretability. By leveraging group penalties and the Alternating Direction Method of Multipliers (ADMM)
Kwan-Young Bak +6 more
doaj +2 more sources
First-passage-based boundary estimation in functional data. [PDF]
PLoS ONEWe study a functional threshold-crossing setting in which a population-level boundary evolves smoothly over time and crossing events are observed through subject-specific functional trajectories.
Ahmet Tugay Kuzu, Nuri Celik
doaj +2 more sources
Derivation and validation of a clinical prediction model incorporating the pleural fluid ADA-to-LDH ratio for differentiating tuberculous from malignant pleural effusions: a multi-center study [PDF]
BMC Pulmonary MedicineBackground Accurate discrimination between tuberculous (TPE) and malignant pleural effusion (MPE) is a major clinical challenge. Most existing models rely on non-routine laboratory tests and lack rigorous multicenter external validation.
Zhiyu Pan +11 more
doaj +2 more sources
Change Point Detection Using Penalized Multidegree Splines
Axioms, 2021 We consider a function estimation method with change point detection using truncated power spline basis and elastic-net-type L1-norm penalty. The L1-norm penalty controls the jump detection and smoothness depending on the value of the parameter. In terms
Eun-Ji Lee, Jae-Hwan Jhong
doaj +1 more source
Demographic Research, 2021 Background: High-dimensional parametric models with penalized likelihood functions strike a good balance between bias and variance for estimating continuous age schedules from large samples. The penalized spline (P-spline) approach is particularly useful
Carl Schmertmann
doaj +1 more source
Out-of-Sample Prediction in Multidimensional P-Spline Models
Mathematics, 2021 The prediction of out-of-sample values is an interesting problem in any regression model. In the context of penalized smoothing using a mixed-model reparameterization, a general framework has been proposed for predicting in additive models but without ...
Alba Carballo +2 more
doaj +1 more source
Conditional Model Selection in Mixed-Effects Models with cAIC4
Journal of Statistical Software, 2021 Model selection in mixed models based on the conditional distribution is appropriate for many practical applications and has been a focus of recent statistical research.
Benjamin Säfken +3 more
doaj +1 more source
Realization of a recursive digital filter based on penalized splines [PDF]
Компьютерная оптика, 2018 In this paper the possibility of development of the recursive digital filter using a P-spline is considered. The frequency and time response of the spline filter for real-time data are analytically obtained and investigated. The influence of the P-spline
Elena Kochegurova, Danni Wu
doaj +1 more source