Results 61 to 70 of about 1,012,468 (372)

The Horseshoe+ Estimator of Ultra-Sparse Signals [PDF]

open access: yes, 2015
We propose a new prior for ultra-sparse signal detection that we term the "horseshoe+ prior." The horseshoe+ prior is a natural extension of the horseshoe prior that has achieved success in the estimation and detection of sparse signals and has been ...
A. Bhadra   +3 more
semanticscholar   +1 more source

The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada

open access: yesPopulation Ecology, EarlyView.
We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley   +1 more source

The Ahlfors estimate [PDF]

open access: yesProceedings of the American Mathematical Society, 1979
The Ahlfors estimate gives an upper bound on the growth of a complete Hermitian metric on the punctured unit disc, whose Gaussian curvature is bounded above by − 1 - 1 . A. Sommese has obtained certain lower bounds on the growth as well. We answer two questions concerning lower bounds, raised by Sommese.
openaire   +2 more sources

Modified ridge‐type estimator to combat multicollinearity: Application to chemical data

open access: yesJournal of Chemometrics, 2019
The Linear regression model is one of the most widely used models in different fields of study. The most popularly used estimation technique is the ordinary least squares estimator.
A. Lukman   +3 more
semanticscholar   +1 more source

Network topology drives population temporal variability in experimental habitat networks

open access: yesPopulation Ecology, EarlyView.
Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu   +3 more
wiley   +1 more source

Matrix rank and inertia formulas in the analysis of general linear models

open access: yesOpen Mathematics, 2017
Matrix mathematics provides a powerful tool set for addressing statistical problems, in particular, the theory of matrix ranks and inertias has been developed as effective methodology of simplifying various complicated matrix expressions, and ...
Tian Yongge
doaj   +1 more source

Adaptive Monotone Shrinkage for Regression [PDF]

open access: yes, 2015
We develop an adaptive monotone shrinkage estimator for regression models with the following characteristics: i) dense coefficients with small but important effects; ii) a priori ordering that indicates the probable predictive importance of the features.
Foster, Dean, Ma, Zhuang, Stine, Robert
core  

Nonparametric estimation of the local Hurst function of multifractional Gaussian processes

open access: yes, 2012
A new nonparametric estimator of the local Hurst function of a multifractional Gaussian process based on the increment ratio (IR) statistic is defined.
Ayache   +22 more
core   +4 more sources

Geographic variation in walking activity in the red flour beetle Tribolium castaneum

open access: yesPopulation Ecology, EarlyView.
This study examined whether there is geographic variation in field populations, focusing on the moving activity in the red flour beetle Tribolium castaneum. Results showed significant differences in moving activity among field populations but no correlation with latitude or meteorological factors.
Kentarou Matsumura
wiley   +1 more source

occumb: An R package for site occupancy modeling of eDNA metabarcoding data

open access: yesPopulation Ecology, EarlyView.
This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley   +1 more source

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