Results 61 to 70 of about 2,586,878 (296)
Likelihood inference for small variance components
, 2000 In this paper, we develop likelihood-based methods for making inferences about the components of variance in a general normal mixed linear model. In particular, we use local asymptotic approximations to construct confidence intervals for the components ...
Stern, S.E., Welsh, A.H.
core +1 more source
Improving soil moisture profile reconstruction from ground-penetrating radar data: a maximum likelihood ensemble filter approach [PDF]
Hydrology and Earth System Sciences, 2013 The vertical profile of shallow unsaturated zone soil moisture plays a key role in many hydro-meteorological and agricultural applications. We propose a closed-loop data assimilation procedure based on the maximum likelihood ensemble filter algorithm to ...
A. P. Tran, M. Vanclooster, S. Lambot
doaj +1 more source
Profile Likelihood and Conditionally Parametric Models
The Annals of Statistics, 1992 The authors outline a general approach to estimating the parametric component of a semiparametric model. For the case of a scalar parametric component the method is based on the idea of first estimating a one- dimensional subproblem of the original problem that is least favorable in the sense of \textit{C. Stein} [Proc. Third Berkeley Sympos.
Severini, Thomas A., Wong, Wing Hung
openaire +3 more sources
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
FEBS Letters, EarlyView.Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source
, 2013 The grey line shows the log profile likelihood for R when selection is assumed to be uniform spatially (GNS = GEW = 0). The MLE of R in this case is 2.77 × 105 with a log-likelihood of −263.0.
Montgomery Slatkin (11467) +2 more
core +1 more source
Challenges of profile likelihood evaluation in multi-dimensional SUSY scans [PDF]
, 2011 Statistical inference of the fundamental parameters of supersymmetric theories is a challenging and active endeavor. Several sophisticated algorithms have been employed to this end. While Markov-Chain Monte Carlo (MCMC) and nested sampling techniques are
Trotta, R +14 more
core +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Pseudo-Likelihood Estimation for Incomplete Data [PDF]
, 2011 In statistical practice, incomplete measurement sequences are the rule rather than the exception. Fortunately, in a large variety of settings, the stochastic mechanism governing the incompleteness can be ignored without hampering inferences about the ...
Verbeke, G +3 more
core +4 more sources
SCYNet: testing supersymmetric models at the LHC with neural networks
European Physical Journal C: Particles and Fields, 2017 SCYNet (SUSY Calculating Yield Net) is a tool for testing supersymmetric models against LHC data. It uses neural network regression for a fast evaluation of the profile likelihood ratio.
Philip Bechtle +8 more
doaj +1 more source