Results 61 to 70 of about 719,228 (391)
The Local Projection Residual Bootstrap for AR(1) Models [PDF]
arXiv, 2023 This paper proposes a local projection residual bootstrap method to construct confidence intervals for impulse response coefficients of AR(1) models. Our bootstrap method is based on the local projection (LP) approach and involves a residual bootstrap procedure applied to AR(1) models.
arxiv
Fast and wild: Bootstrap inference in Stata using boottest
The Stata Journal, 2018 The wild bootstrap was originally developed for regression models with heteroskedasticity of unknown form. Over the past 30 years, it has been extended to models estimated by instrumental variables and maximum likelihood and to ones where the error terms
D. Roodman +3 more
semanticscholar +1 more source
The pigeonhole bootstrap [PDF]
The Annals of Applied Statistics, 2007 Recently there has been much interest in data that, in statistical language, may be described as having a large crossed and severely unbalanced random effects structure. Such data sets arise for recommender engines and information retrieval problems. Many large bipartite weighted graphs have this structure too.
openaire +4 more sources
Physics of Particles and Nuclei Letters, 2012 A huge value of cosmological constant characteristic for the particle physics and the inflation of early Universe are inherently related to each other: one can construct a fine-tuned superpotential, which produces a flat potential of inflaton with a constant density of energy $V= ^4$ after taking into account for leading effects due to the ...
V. V. Kiselev, S. A. Timofeev
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Revista de Métodos Cuantitativos para la Economía y la Empresa, 2021 Stock price determination is one of the main issues involved in the acquisition of companies. The transparency and high volume of the stock market make it possible to ascertain valuation multiples.
Vidal García, Raúl +2 more
doaj +1 more source
Sisvar: a Guide for its Bootstrap procedures in multiple comparisons
, 2014 Sisvar is a statistical analysis system with a large usage by the scientific community to produce statistical analyses and to produce scientific results and conclusions. The large use of the statistical procedures of Sisvar by the scientific community is
D. F. Ferreira
semanticscholar +1 more source
Application of the hierarchical bootstrap to multi-level data in neuroscience [PDF]
bioRxiv, 2019 A common feature in several types of neuroscience datasets is the presence of hierarchical data structures, such as recording the activity of multiple neurons in multiple animals across multiple trials.
Varun Saravanan +2 more
semanticscholar +1 more source
Chain ladder method: Bayesian bootstrap versus classical bootstrap
, 2009 The intention of this paper is to estimate a Bayesian distribution-free chain ladder (DFCL) model using approximate Bayesian computation (ABC) methodology.
Peters, Gareth W. +2 more
core +1 more source
Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value
Molecular Oncology, EarlyView.The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song +13 more
wiley +1 more source
EEG Response to Sedation Interruption Complements Behavioral Assessment After Severe Brain Injury
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Accurate assessment of the level of consciousness and potential to recover in patients with severe brain injury underpins crucial decisions in the intensive care unit but remains a major challenge for the clinical team. The neurological wake‐up test is a widely used assessment tool. However, many patients' behavioral responses during
Charlotte Maschke +12 more
wiley +1 more source