Results 101 to 110 of about 15,953 (268)
Oikos, EarlyView.Niche breadth, reflecting the range of environmental conditions or resources a species can exploit, influences its distribution, persistence, vulnerability to environmental change, and interspecific interactions. The elevational niche‐breadth hypothesis predicts broader ecological niches at higher elevations due to increased environmental stress and ...
Fernando P. Gaona +9 more
wiley +1 more source
Filtering Time Series with Penalized Splines
Studies in Nonlinear Dynamics & Econometrics, 2011 The decomposition and filtering of time series is an important issue in economics and econometrics and related fields. Even though there are numerous competing methods on the market, in applications one often meets one of the few favorites, like the Hodrick & Prescott filter or the Bandpass filter.
Kauermann, Göran +2 more
openaire +3 more sources
The relationship between changes in the Economic Sentiment Indicator and real GDP growth: a time-varying coefficient approach [PDF]
The aim of this paper is to capture the time-varying effects of the relationship between changes in the Economic Sentiment Indicator (ESI) and economic growth.
Luca Zanin
core
, 2014 Functional data analysis (FDA) involves the analysis of data whose ideal units of observation are functions defined on some continuous domain, and the observed data consist of a sample of functions taken from some population, sampled on a discrete grid ...
Morris, Jeffrey S.
core
Proteins: Structure, Function, and Bioinformatics, EarlyView.ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal +3 more
wiley +1 more source
Automatic search intervals for the smoothing parameter in penalized splines. [PDF]
Stat Comput, 2023 Li Z, Cao J.
europepmc +1 more source
Nonparametric maximum likelihood estimation of probability densities by penalty function methods [PDF]
When it is known a priori exactly to which finite dimensional manifold the probability density function gives rise to a set of samples, the parametric maximum likelihood estimation procedure leads to poor estimates and is unstable; while the ...
Demontricher, G. F. +2 more
core +1 more source
Polar‐low track prediction using machine‐learning methods
Quarterly Journal of the Royal Meteorological Society, EarlyView.Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang +4 more
wiley +1 more source
Non-Standard Semiparametric Regression via BRugs
Journal of Statistical Software, 2010 We provide several illustrations of Bayesian semiparametric regression analyses in the BRugs package. BRugs facilitates use of the BUGS inference engine from the R computing environment and allows analyses to be managed using scripts.
Jennifer K. Marley, Matthew P. Wand
doaj
Partial and Interaction Spline Models for the Semiparametric Estimation of Functions of Several Variables [PDF]
, 1986 A partial spline model is a model for a response as a function of several variables, which is the sum of a smooth function of several variables and a parametric function of the same plus possibly some other variables.
Wahba, Grace
core +1 more source