Results 71 to 80 of about 15,886 (254)

Nonconcave Penalized Spline

, 2012
Regression spline is a useful tool in nonparametric regression. However, finding the optimal knot locations is a known difficult problem. In this article, we introduce the Non-concave Penalized Regression Spline. This proposal method not only produces smoothing spline with optimal convergence rate, but also can adaptively select optimal knots ...
openaire   +2 more sources

Twenty years of dynamic occupancy models: a review of applications and look to the future

Ecography, EarlyView.
Since their introduction over 20 years ago, dynamic occupancy models (DOMs) have become a powerful and flexible framework for estimating species occupancy across space and time while accounting for imperfect detection. As their popularity has increased and extensions have further expanded their capabilities, DOMs have been applied to increasingly ...
Saoirse Kelleher, Gurutzeta Guillera-Arroita, Jane Elith, Natalie J. Briscoe   +3 more
wiley   +1 more source

The Estimating Parameter and Number of Knots for Nonparametric Regression Methods in Modelling Time Series Data

Modelling
This research aims to explore and compare several nonparametric regression techniques, including smoothing splines, natural cubic splines, B-splines, and penalized spline methods.
Autcha Araveeporn
doaj   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

A Conceptually Simple Modeling Approach for Jason-1 Sea State Bias Correction Based on 3 Parameters Exclusively Derived from Altimetric Information

Remote Sensing, 2016
A conceptually simple formulation is proposed for a new empirical sea state bias (SSB) model using information retrieved entirely from altimetric data.
Nelson Pires, M. Joana Fernandes, Christine Gommenginger, Remko Scharroo   +3 more
doaj   +1 more source

Comparison of Significant Approaches of Penalized Spline Regression (P-splines)

Pakistan Journal of Statistics and Operation Research, 2018
Over the last two decades P-Splines have become a popular modeling tool in a wide class of statistical contexts. Fundamentally, semiparametric regression methods combine the leads of parametric and nonparametric approaches to regression analysis, while in precise, penalized spline regression uses the knowledge of nonparametric spline smoothing as a ...
Saira Sharif, Shahid Kamal
openaire   +2 more sources

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

Spatially Adaptive Bayesian P-Splines with Heteroscedastic Errors [PDF]

, 2004
An increasingly popular tool for nonparametric smoothing are penalized splines (P-splines) which use low-rank spline bases to make computations tractable while maintaining accuracy as good as smoothing splines.
Carroll, Raymond J., Crainiceanu, Ciprian M., Ruppert, David   +2 more
core   +1 more source

ESTIMASI PARAMETER REGRESI SPLINE DENGAN METODE PENALIZED SPLINE

Bimaster : Buletin Ilmiah Matematika, Statistika dan Terapannya, 2019
Regresi spline merupakan suatu pendekatan ke arah pencocokan data dengan tetap memperhitungkan kemulusan kurva. Salah satu bentuk estimator dari regresi spline ialah penalized spline. Tujuan dari penelitian ini adalah untuk mengestimasi parameter regresi spline dengan metode penalized spline untuk data yang tidak memiliki pola tertentu. Data penelitian
openaire   +2 more sources

Application of Penalized Splines in Analyzing Neuronal Data [PDF]

Biometrical Journal, 2009
AbstractNeuron experiments produce high‐dimensional data structures. Therefore, application of smoothing techniques in the analysis of neuronal data from electrophysiological experiments has received considerable attention of late. We investigate the use of penalized splines in the analysis of neuronal data. This is first illustrated when interested in
MARINGWA, John, FAES, Christel, GEYS, Helena, MOLENBERGHS, Geert, Cadarso-Suarez, Carmen, Pardo-Vazquez, Jose L., Leboran, Victor, Acuna, Carlos   +7 more
openaire   +3 more sources