• We considered five LFDR estimators for detecting enriched GO terms: a binomial-based estimator (BBE), a maximum likelihood estimator (MLE), a normalized MLE (NMLE), a histogram-based estimator assuming a theoretical null hypothesis (HBE), and a histogram-based estimator assuming an empirical null hypothesis (HBE-EN). (biomedcentral.com)
  • Our results confirm that the Poisson pseudo maximum likelihood estimator is generally well behaved. (repec.org)
  • Further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator ," Economics Discussion Papers 3546, University of Essex, Department of Economics. (repec.org)
  • Further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator ," Economics Letters , Elsevier, vol. 112(2), pages 220-222, August. (repec.org)
  • Further Simulation Evidence on the Performance of the Poisson Pseudo-Maximum Likelihood Estimator ," CEP Discussion Papers dp0933, Centre for Economic Performance, LSE. (repec.org)
  • Further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator ," LSE Research Online Documents on Economics 25506, London School of Economics and Political Science, LSE Library. (repec.org)
  • It contains the most popular methods of multivariate analysis needed in analysing ecological communities, and tools for diversity analysis, and other potentially useful functions. (r-project.org)
  • The topic of this paper is networks of Gaussian basis functions which are used extensively as learning systems in neural computation. (springer.com)
  • We show that networks of Gaussian basis functions can be generated from simple probabilistic rules. (springer.com)
  • This is demonstrated through an experimental comparison between the use of the standard Bhattacharyya distance/Gaussian likelihood combination and the potentially computationally simpler histogram intersection distance/triangular likelihood combination in particle filter tracking sequences. (uclan.ac.uk)
  • begingroup$ @kjetilbhalvorsen: while I can see the motivations behind your remark (reference measure, likelihood principle, and all that), the likelihood function can be defined uniquely once the dominating measure on the sampling space is set. (stackexchange.com)
  • Hence, according to the likelihood principle, values of p very near .4 are supported by the evidence in this sample, as against values of p very near 0 or 1, with very great strength, since the corresponding likelihood ratios (.4) 4 (.6) 6 / p 4 (l - P) 6 are verY large. (encyclopedia.com)
  • The likelihood principle asserts that therefore the evidence about p in the two cases is the same, notwithstanding other differences in the two probability laws, which appear for other possible samples. (encyclopedia.com)
  • To illustrate this incompatibility, observe that in the example two distinct sampling rules gave the same likelihood function, and hence the same evidence under the likelihood principle. (encyclopedia.com)
  • Finally, on grounds independent of the crucial and controversial Bayesian concepts of prior or personal probability, interest and support for the likelihood principle arises because most standard statistical theory fails to include (and clearly implicitly excludes) any precise general concept of evidence in an observed sample, while several concepts of evidence that many statisticians consider appropriate have been found on analysis to entail the likelihood axiom. (encyclopedia.com)
  • The function m(.) can, in principle, change over time even though it is often specified as static over time. (wikipedia.org)
  • Note that only the conditional mean function is specified, and we will get consistent estimates of b 0 {\displaystyle b_{0}} as long as this mean condition is correctly specified. (wikipedia.org)
  • We severe acute respiratory syndrome (SARS) coronavirus performed this analysis by using an exact likelihood ap- infection had a shorter incubation period compared with proach and incubation times resampled from the 10,000 infected patients who survived ( 9 ). (cdc.gov)
  • However, I will argue that the main reason that the frequentist approach continues to prevail can be traced to the difficulty in specifying a suitable form for the likelihood, combined with an inflexible application of the Bayesian approach. (royalsocietypublishing.org)
  • The main goals are to identify genes, their functions, and their evolutionary histories. (uci.edu)
  • After genes are identified, their function will be hypothesized using the BLAST program. (uci.edu)
  • Polymorphisms in five of 15 genes (33%) encoding molecules known to primarily influence pancreatic β-cell function- ABCC8 (sulphonylurea receptor), KCNJ11 (KIR6.2), SLC2A2 (GLUT2), HNF4A (HNF4α), and INS (insulin)-significantly altered disease risk, and in three genes, the risk allele, haplotype, or both had a biologically consistent effect on a relevant physiological trait in the QT study. (plos.org)
  • These results confirm the genetic complexity of Type 2 diabetes and provide evidence that common variants in genes influencing pancreatic β-cell function may make a significant contribution to the inherited component of this disease. (plos.org)
  • This paper presents an adaptation of the Expectation-Maximization (EM) algorithm to enable a mobile robot to learn both its action and sensor model functions, starting without an accurate version of either. (utexas.edu)
  • To explore the resulting model space, we develop a likelihood-based hierarchical clustering, and we examine the eigenvalues of the linear dynamics. (pnas.org)
  • The model can be fitted using maximum likelihood method. (wikibooks.org)
  • More generally, for each value of p H {\displaystyle p_{\text{H}}} , we can calculate the corresponding likelihood. (wikipedia.org)
  • The choice of particle filter dissimilarity distance measures and likelihood functions is considered in the context of object tracking in grey scale CCTV video. (uclan.ac.uk)
  • In a stratified analysis, the partial likelihood is the product of the partial likelihood functions for the individual strata. (sas.com)
  • This is followed in §3 by an overview of gravitational wave signal analysis, and in §4 I discuss some of the challenges in defining a suitable likelihood function. (royalsocietypublishing.org)
  • Predicting word reading and comprehension with executive function and speed measures across development: a latent variable analysis. (nih.gov)
  • It is not a mere GUI for vegan , but adds some new functions and complements vegan functions in order to provide a workbench for biodiversity analysis. (r-project.org)
  • Put together, the expression analysis and biochemical features of PBP4 provide a framework for understanding the function of this protein in S. aureus and its role in antimicrobial resistance. (asm.org)