Results 121 to 130 of about 15,953 (268)
Bayesian Analysis for Penalized Spline Regression Using Win BUGS [PDF]
, 2007 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
Nonconcave penalized likelihood with a diverging number of parameters
, 2003 A class of variable selection procedures for parametric models via nonconcave penalized likelihood was proposed by Fan and Li to simultaneously estimate parameters and select important variables.
Fan, Jianqing, Peng, Heng
core +4 more sources
Denoising framework for X‐ray absorption spectroscopy data
Journal of Synchrotron Radiation, EarlyView.We introduce a high‐performance Python‐based XAS denoising package called XASDenoise, which implements our newly developed stationarity warping method and advanced denoising techniques based on Gaussian process regression and a convolutional autoencoder.X‐ray absorption spectroscopy (XAS) is a powerful tool for probing the structural and electronic ...
Tomas Aidukas +4 more
wiley +1 more source
Apex predators exploit advantageous snow conditions across hunting modes
Journal of Animal Ecology, EarlyView.Advantageous snow conditions—in terms of snow depth and density—are among the most important features of the winter landscape for two apex predators, regardless of hunting strategy. In a warming climate, the knock‐on effects of a diminishing snowpack may reduce the hunting success of multiple large carnivore species.
Benjamin K. Sullender +7 more
wiley +1 more source
Applying the maximum entropy principle to neural networks enhances multi‐species distribution models
Methods in Ecology and Evolution, EarlyView.Abstract The increasing volume of presence‐only (PO) data generated by citizen science initiatives has greatly expanded biodiversity databases, but the statistical use of these data in species distribution models (SDMs) remains limited by strong sampling biases and the absence of reliable absence information.
Maxime Ryckewaert +5 more
wiley +1 more source
SSM: Population Health, 2016 This study used data on the total population to examine the longitudinal association between midlife income and mortality and late-life income and mortality in an aging Swedish cohort. We specifically examined the shape of the associations between income
Johan Rehnberg, Johan Fritzell
doaj +1 more source
Field‐level crop choice responses to weather‐induced yield shocks in the US Corn Belt
American Journal of Agricultural Economics, EarlyView.Abstract As climate change increases the frequency and severity of extreme heat events, farmers are expected to face greater variability in crop yields. Using 10 million field‐level observations, this study examines how farmers in the US Corn Belt adjust corn–soybean rotation decisions in response to yield shocks largely driven by weather fluctuations.
Seunghyun Lee
wiley +1 more source
Bootstrapping for penalized spline regression
, 2006 We describe and contrast several different bootstrapping procedures for penalized spline smoothers. The bootstrapping procedures considered are variations on existing methods, developed under two different probabilistic frameworks. Under the first framework, penalized spline regression is considered an estimation technique to find an unknown smooth ...
Claeskens, Gerda +2 more
openaire +1 more source
Spline Estimator in Multi-Response Nonparametric Regression Model
Jurnal Ilmu Dasar, 2010 In many applications two or more dependent variables are observed at several values of the independent variables, such as at time points. The statistical problems are to estimate functions that model their dependences on the independent variables, and to
Budi Lestari +3 more
doaj
Modifiable dementia risk factors and AT(N) biomarkers: findings from the EPAD cohort
Frontiers in Aging NeuroscienceIntroductionModifiable risk factors account for a substantial proportion of Alzheimer’s disease (AD) cases and we currently have a discrete AT(N) biomarker profile for AD biomarkers: amyloid (A), p-tau (T), and neurodegeneration (N).
Eddy Roccati +11 more
doaj +1 more source