Results 81 to 90 of about 15,886 (254)
Global Change Biology Communications, EarlyView.Embryos are particularly sensitive to thermal challenge. Antarctic fish embryos raised at projected Southern Ocean temperatures hatch during the winter, have a high incidence of morphological abnormalities, have shorter body lengths, and express genes indicative of cellular stress.
Margaret Streeter +6 more
wiley +1 more source
Journal of Statistical Software, 2010 Here we present and discuss the R package modTempEff including a set of functions aimed at modelling temperature effects on mortality with time series data.
Vito M. R. Muggeo
doaj
Pointwise Convergence in Probability of General Smoothing Splines [PDF]
, 2017 Establishing the convergence of splines can be cast as a variational problem which is amenable to a $\Gamma$-convergence approach. We consider the case in which the regularization coefficient scales with the number of observations, $n$, as $\lambda_n=n^{-
Johansen, Adam M., Thorpe, Matthew
core +2 more sources
Estimating Treatment Effects With Limited Exogeneity: A Machine Learning Approach to Selection Bias
International Studies of Economics, EarlyView.ABSTRACT This paper presents a novel method for estimating treatment effects in cases where prior knowledge of the exogeneity of the treatment variable is limited. We employ a machine learning technique, double selection via Lasso, to identify a robust set of control variables without requiring prior assumptions about their specific identities or ...
Rui Sun, Shiyi Chen
wiley +1 more source
The Importance of Scale for Spatial-Confounding Bias and Precision of Spatial Regression Estimators [PDF]
, 2009 Residuals in regression models are often spatially correlated. Prominent examples include studies in environmental epidemiology to understand the chronic health effects of pollutants.
Paciorek, Christopher J.
core +3 more sources
Asymptotic theory of penalized splines
Electronic Journal of Statistics, 2019 The paper gives a unified study of the large sample asymptotic theory of penalized splines including the O-splines using B-splines and an integrated squared derivative penalty [22], the P-splines which use B-splines and a discrete difference penalty [13], and the T-splines which use truncated polynomials and a ridge penalty [24].
openaire +2 more sources
Some Asymptotic Results on Generalized Penalized Spline Smoothing [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2007 SummaryThe paper discusses asymptotic properties of penalized spline smoothing if the spline basis increases with the sample size. The proof is provided in a generalized smoothing model allowing for non-normal responses. The results are extended in two ways. First, assuming the spline coefficients to be a priori normally distributed links the smoothing
Kauermann, Göran +2 more
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Joint Estimation and Bandwidth Selection in Partially Parametric Models
Journal of Applied Econometrics, EarlyView.ABSTRACT We propose a single‐step approach to estimating a model with both a known nonlinear parametric component and an unknown nonparametric component. We study the large sample behavior of a simultaneous optimization routine that estimates both the parameter vector of the parametric component and the bandwidth vector used to smooth the unknown ...
Daniel J. Henderson +2 more
wiley +1 more source
, 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
The use of spline, Bayesian spline and penalized Bayesian spline regression for modeling
, 2021 Splayn, cezalandırılmış splayn ve Bayesyen splayn olarak adlandırılan parametrik olmayan regresyon yöntemleri modellemede esneklik ve sabit bir modele bağlı olmamak gibi büyük avantajlar sağlar. Cezalandırılmış splayn regresyon, parametrik olmayan splayn düzeltme düşüncesini kullanır.
openaire +2 more sources