Results 111 to 120 of about 15,886 (254)
Abstract Human–wildlife interactions are becoming more common as we progress through the Anthropocene. People tend to feed wildlife more regularly as it is often popularised by social media and can counteract their disconnect from the natural world. These interactions impact wildlife behaviour, feeding ecology and zoonotic transmission dynamics. Due to
Jane Faull +9 more
wiley +1 more source
Birnbaum-Saunders Semi-Parametric Additive Modeling
Inclusion of nonparametric functions enhances the modeling when accommodating non-linear effects of covariates. Semi-parametric models have been successfully used for describing non-linear structures by means of parametric and nonparametric components ...
Esteban Cárcamo +3 more
doaj +1 more source
Smooth-car mixed models for spatial count data [PDF]
Penalized splines (P-splines) and individual random effects are used for the analysis of spatial count data. P-splines are represented as mixed models to give a unified approach to the model estimation procedure.
Dae-Jin Lee, Maria Durban
core
Piecewise linear regularized solution paths
We consider the generic regularized optimization problem $\hat{\mathsf{\beta}}(\lambda)=\arg \min_{\beta}L({\sf{y}},X{\sf{\beta}})+\lambda J({\sf{\beta}})$. Efron, Hastie, Johnstone and Tibshirani [Ann. Statist.
Rosset, Saharon, Zhu, Ji
core +2 more sources
Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments
ABSTRACT Tunnel‐like environments, renowned for their vast scale, confined spaces, and limited visibility, present significant challenges for autonomous robot navigation. This study addresses the critical issue of guiding robots through such environments while ensuring collision‐free navigation and maintaining a specified safety margin from both tunnel
Bao Jianjun +5 more
wiley +1 more source
This paper introduces into and improves the theoretical research done by the authors in the last two years in the applied area of GAMs (generalized additive models) which belong to the modern statistical learning, important in many areas of prediction, e.
P. Taylan, G.-W. Weber
doaj
Well-Being over the Life Span: Semiparametric Evidence from British and German Longitudinal Data [PDF]
This paper applies semiparametric regression models using penalized splines to investigate the profile of well-being over the life span. Splines have the advantage that they do not require a priori assumptions about the form of the curve. Using data from
Bleninger, Philipp +5 more
core
P-spline anova-type interaction models for spatio-temporal smoothing [PDF]
In recent years, spatial and spatio-temporal modelling have become an important area of research in many fields (epidemiology, environmental studies, disease mapping, ...).
Durbán, María, Lee, Dae-Jin
core +1 more source
Camera traps have become an increasingly popular non‐invasive alternative to animal‐attached devices for studying wildlife behaviour. This study compared wolf (Canis lupus) activity patterns derived from collar accelerometers and road‐positioned camera traps and revealed strong overall agreement but also important seasonal and diel mismatches between ...
Katarzyna Bojarska +7 more
wiley +1 more source
Bayesian Analysis for Penalized Spline Regression Using Win BUGS [PDF]
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally developed for Bayesian analysis of mixed models can be used for penalized spline regression ...
Crainiceanu, Ciprian M. +2 more
core +1 more source

