Results 1 to 10 of about 43,222 (163)

A Fast Weighted Fuzzy C-Medoids Clustering for Time Series Data Based on P-Splines [PDF]

open access: yesSensors, 2022
The rapid growth of digital information has produced massive amounts of time series data on rich features and most time series data are noisy and contain some outlier samples, which leads to a decline in the clustering effect. To efficiently discover the
Jiucheng Xu   +4 more
doaj   +2 more sources

Bayesian nowcasting with Laplacian-P-splines

open access: yesJournal of Computational and Graphical Statistics, 2022
Abstract During an epidemic, the daily number of reported infected cases, deaths or hospitalizations is often lower than the actual number due to reporting delays. Nowcasting aims to estimate the cases that have not yet been reported and combine it with the already reported cases to obtain an estimate of the daily cases.
Sumalinab B, Gressani O, Hens N, Faes C.
europepmc   +4 more sources

P-SPLINES USING DERIVATIVE INFORMATION. [PDF]

open access: yesMultiscale Model Simul, 2010
Time series associated with single-molecule experiments and/or simulations contain a wealth of multiscale information about complex biomolecular systems. We demonstrate how a collection of Penalized-splines (P-splines) can be useful in quantitatively summarizing such data. In this work, functions estimated using P-splines are associated with stochastic
Calderon CP   +3 more
europepmc   +5 more sources

Laplacian-P-splines for Bayesian inference in the mixture cure model. [PDF]

open access: yesStat Med, 2022
AbstractThe mixture cure model for analyzing survival data is characterized by the assumption that the population under study is divided into a group of subjects who will experience the event of interest over some finite time horizon and another group of cured subjects who will never experience the event irrespective of the duration of follow‐up.
Gressani O, Faes C, Hens N.
europepmc   +7 more sources

Out-of-Sample Prediction in Multidimensional P-Spline Models [PDF]

open access: yesMathematics, 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   +4 more sources

A multi-country comparison of stochastic models of breast cancer mortality with P-splines smoothing approach [PDF]

open access: yesBMC Medical Research Methodology, 2020
Background Precise predictions of incidence and mortality rates due to breast cancer (BC) are required for planning of public health programs as well as for clinical services.
Sumaira Mubarik, Ying Hu, Chuanhua Yu
doaj   +2 more sources

TWO-DIMENSIONAL MODELING OF CAR RELIABILITY DURING WARRANTY PERIOD [PDF]

open access: yesScientific Journal of Silesian University of Technology. Series Transport, 2023
The paper focuses on presenting the concept of two-dimensional modeling of passenger car reliability during the warranty period. The main objective of this paper is to detect the regularity in the intensity of the number of first failure reports during ...
Piotr SLIŻ   +2 more
doaj   +1 more source

استخدام بعض طرق الشرائح لتمهيد معدلات الوفاة الخام بجدول الاكتواري المصري [PDF]

open access: yesالمجلة العلمية للدراسات والبحوث المالية والتجارية, 2023
تعتبر عملية تهذيب وتمهيد معدلات الوفاة بعد حسابها خطوة رئيسية عند إنشاء الجداول الإكتوارية. وتهدف هذه الدراسة إلى تقديم بعض طرق شرائح التمهيد ودوال الأساس الشائعة - مثل: الشرائح التكعيبية Cubic splines، شرائح الأساس (B-Splines)، الشرائح التكعيبية ...
السيد الأشقر
doaj   +1 more source

A Data-Driven P-Spline Smoother and the P-Spline-Garch Models [PDF]

open access: yesSSRN Electronic Journal, 2020
Penalized spline smoothing of time series and its asymptotic properties are studied. A data-driven algorithm for selecting the smoothing parameter is developed. The proposal is applied to define a semiparametric extension of the well-known Spline-GARCH, called a P-Spline-GARCH, based on the log-data transformation of the squared returns.
Feng, Yuanhua, Härdle, Wolfgang Karl
openaire   +3 more sources

The time lag between deformation process and seismic activity in El Hierro Island during the eruptive process (2011–2014): a functional phased approach

open access: yesEarth, Planets and Space, 2021
On 10 October 2011, a submarine eruption occurred in El Hierro island. Thus, the eruptive process in the Canary islands was reactivated after 40 years of inactivity.
Sonia Pérez-Plaza   +4 more
doaj   +1 more source

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