Results 21 to 30 of about 6,675,113 (80)
fitdistrplus: An R Package for Fitting Distributions
The package fitdistrplus provides functions for fitting univariate distributions to different types of data (continuous censored or non-censored data and discrete data) and allowing different estimation methods (maximum likelihood, moment matching ...
M. Delignette-Muller, Christophe Dutang
semanticscholar +1 more source
New parton distributions for collider physics [PDF]
We extract new parton distribution functions (PDFs) of the proton by global analysis of hard scattering data in the general-mass framework of perturbative quantum chromodynamics.
H. Lai +6 more
semanticscholar +1 more source
Many plants rely on interactions with frugivores for dispersal, suggesting that animal communities may affect plant occupancy and diversity. However, the contribution of these interaction‐led biotic variables on plant diversity is poorly understood ...
Seok-Kyu Kim +3 more
semanticscholar +1 more source
Non‐native invasive plants impact ecosystems globally, and the distributions of many species are expanding. The current and potential distributions of many invaders have not been characterized at the broad scales needed for effective management.
Devin E McMahon +4 more
semanticscholar +1 more source
Habitat loss and degradation is one of the main threats to biodiversity worldwide. Ecological modelling community has been increasingly incorporating habitat changes in the species distribution models (SDMs).
Miguel Cánibe +3 more
semanticscholar +1 more source
Rigorous Analytic Solution to the Gravitational-wave Overlapping Event Rates
In the era of the next-generation gravitational-wave detectors, signal overlaps will become prevalent due to the high detection rate and long signal duration, posing significant challenges to data analysis. While effective algorithms are being developed,
Ziming Wang, Zexin Hu, Lijing Shao
doaj +1 more source
Robust joint modelling of sparsely observed paired functional data
Abstract A reduced‐rank mixed‐effects model is developed for robust modelling of sparsely observed paired functional data. In this model, the curves for each functional variable are summarized using a few functional principal components, and the association of the two functional variables is modelled through the association of the principal component ...
Huiya Zhou, Xiaomeng Yan, Lan Zhou
wiley +1 more source
Statistical Properties of a Polarization Vector’s Ellipticity Angle
The orientation of a polarization vector on the Poincaré sphere is defined by its position angle (PA) and ellipticity angle (EA). The radio emission from pulsars, magnetars, and fast radio bursts can be elliptically polarized, and measurements of the EA ...
M. M. McKinnon
doaj +1 more source
Abstract We propose a simple, statistically principled, and theoretically justified method to improve supervised learning when the training set is not representative, a situation known as covariate shift. We build upon a well‐established methodology in causal inference and show that the effects of covariate shift can be reduced or eliminated by ...
Maximilian Autenrieth +3 more
wiley +1 more source
Parton distributions with LHC data [PDF]
We present the first determination of parton distributions of the nucleon at NLO and NNLO based on a global data set which includes LHC data: NNPDF2.3.
R. Ball +10 more
semanticscholar +1 more source

