Results 71 to 80 of about 6,398 (252)
Nonparametric confidence bands in deconvolution density estimation [PDF]
Uniform confidence bands for densities f via nonparametric kernel estimates were first constructed by Bickel and Rosenblatt [Ann. Statist. 1, 1071.1095].
Bissantz, Nicolai +3 more
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As climate change alters seasonal patterns, temperate tree populations face a growing risk of phenological mismatch, where seed dispersal and germination no longer align with favourable conditions for survival. This study predicted how warming by the end of the century will affect seed dormancy breaking and germination in populations of three UK tree ...
Roberta L. C. Dayrell +8 more
wiley +1 more source
ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R [PDF]
Kernel smoothing is one of the most widely used non-parametric data smoothing techniques. We introduce a new R package ks for multivariate kernel smoothing.
Tarn Duong
core +1 more source
Bivariate postprocessing of wind vectors
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner +3 more
wiley +1 more source
Nonparametric Estimation and Symmetry Tests for Conditional Density Functions. [PDF]
We suggest two new methods for conditional density estimation. The first is based on locally fitting a log-linear model, and is in the spirit of recent work on locally parametric techniques in density estimation.
Hyndman, R.J., Yao, Q.
core
Statistical post‐processing of operational dual‐resolution wind‐speed ensemble forecasts
The performance of raw and post‐processed 50‐member medium‐ and 100‐member extended‐range 10‐m wind‐speed forecasts of the European Centre for Medium‐Range Weather Forecasts and their various dual‐resolution combinations is investigated. Results show that post‐processing improves skill and reduces the differences between the various configurations ...
Sándor Baran, Mária Lakatos
wiley +1 more source
We describe the host response continuum for highly pathogenic avian influenza viruses (HPAIV), including the continuum of host responses to HPAIV infection and exposure based on the primary axis of host competence, ability to infect other hosts, and host vulnerability.
Johanna A. Harvey +9 more
wiley +1 more source
Caveats on Using Firth's Penalization in the Model-Based Regression Standardization for Rare Diseases. [PDF]
ABSTRACT Model‐based regression standardization, also known as the parametric g‐formula, is widely used to estimate marginal effect measures. However, in rare disease settings, the small number of observed events relative to the number of covariates can lead to (quasi‐)complete separation, resulting in non‐convergent estimates in the regression models.
Hashibe S, Hongo W, Shinozaki T.
europepmc +2 more sources
ABSTRACT Extreme icing disasters increasingly undermine the reliability of integrated power and heat networks by causing line outages, supply shortages and sharp thermal load fluctuations. To address these challenges, this paper proposes a comprehensive optimisation framework that exploits the spatiotemporal flexibility of data centres for coordinated ...
Yan Wang +6 more
wiley +1 more source
Local rank tests in a multivariate nonparametric relationship [PDF]
Consider a multivariate nonparametric model where the unknown vector of functions depends on two sets of explanatory variables. For a fixed level of one set of explanatory variables, we provide consistent statistical tests, called local rank tests, to ...
Natércia Fortuna
core

