Results 111 to 120 of about 719,228 (391)
Generalized bootstrap for estimating equations
, 2005 We introduce a generalized bootstrap technique for estimators obtained by solving estimating equations. Some special cases of this generalized bootstrap are the classical bootstrap of Efron, the delete-d jackknife and variations of the Bayesian bootstrap.
Bose, Arup, Chatterjee, Snigdhansu
core +2 more sources
Advanced Science, EarlyView.The genome of Megachile rotundata, an extensively managed solitary pollination bee species, has been sequenced, covering 280.68 Mb and predicting 10 701 genes. The study reveals significant expansions of the Toll gene family and their abundant expression in diapause prepupae, highlighting enhanced immune responses during diapause. This genome serves as
Rangjun Shi +8 more
wiley +1 more source
Revista Árvore, 2006 Objetivou-se, neste trabalho, propor uma sistemática para o estudo e interpretação da estabilidade dos métodos de análise de agrupamento, através de vários algoritmos de agrupamento em dados de vegetação.
Márcio Augusto de Albuquerque +5 more
doaj +1 more source
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference [PDF]
arXiv, 2021 Bootstrap is a principled and powerful frequentist statistical tool for uncertainty quantification. Unfortunately, standard bootstrap methods are computationally intensive due to the need of drawing a large i.i.d. bootstrap sample to approximate the ideal bootstrap distribution; this largely hinders their application in large-scale machine learning ...
arxiv
Fast, Exact Bootstrap Principal Component Analysis for p>1 million [PDF]
, 2014 Many have suggested a bootstrap procedure for estimating the sampling variability of principal component analysis (PCA) results. However, when the number of measurements per subject ($p$) is much larger than the number of subjects ($n$), the challenge of
Caffo, Brian +3 more
core
Autonomous Self‐Evolving Research on Biomedical Data: The DREAM Paradigm
Advanced Science, EarlyView.DREAM is a fully autonomous, self‐evolving biomedical research system capable of independently formulating scientific questions, performing analyses, and making new discoveries without human intervention. Validated in biomedical studies, DREAM significantly outperforms human scientists in research efficiency, accelerating scientific discovery and ...
Luojia Deng +3 more
wiley +1 more source
Bootstrap inversion for Pn wave velocity in North-Western Italy
Annals of Geophysics, 1997 An inversion of Pn arrival times from regional distance earthquakes (180-800 km), recorded by 94 seismic stations operating in North-Western Italy and surrounding areas, was carried out to image lateral variations of P-wave velocity at the crust-mantle ...
C. Eva, D. Spallarossa, S. Parolai
doaj +1 more source
AR-sieve Bootstrap for High-dimensional Time Series [PDF]
arXiv, 2021 This paper proposes a new AR-sieve bootstrap approach on high-dimensional time series. The major challenge of classical bootstrap methods on high-dimensional time series is two-fold: the curse dimensionality and temporal dependence. To tackle such difficulty, we utilise factor modelling to reduce dimension and capture temporal dependence simultaneously.
arxiv
, 2014 When testing for reduction of the mean value structure in linear mixed models, it is common to use an asymptotic ?2 test. Such tests can, however, be very poor for small and moderate sample sizes.
U. Halekoh, Søren Højsgaard
semanticscholar +1 more source
Long multiplet bootstrap [PDF]
Journal of High Energy Physics, 2017 Journal of high energy physics 1710(10), 119 (2017).
Cornagliotto, Martina +2 more
openaire +6 more sources