Results 21 to 30 of about 1,248,247 (319)
Symbolic Maximum Likelihood Estimation with Mathematica [PDF]
, 1999 Mathematica is a symbolic programming language that empowers the user to undertake complicated algebraic tasks. One such task is the derivation of maximum likelihood estimators, demonstrably an important topic in statistics at both the research and ...
Rose, Colin, Smith, Murray D.
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Consistency of maximum likelihood estimation for some dynamical systems [PDF]
, 2014 We consider the asymptotic consistency of maximum likelihood parameter estimation for dynamical systems observed with noise. Under suitable conditions on the dynamical systems and the observations, we show that maximum likelihood parameter estimation is ...
McGoff, Kevin +3 more
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Human Pose Regression with Residual Log-likelihood Estimation [PDF]
IEEE International Conference on Computer Vision, 2021 Heatmap-based methods dominate in the field of human pose estimation by modelling the output distribution through likelihood heatmaps. In contrast, regression-based methods are more efficient but suffer from inferior performance. In this work, we explore
Jiefeng Li +6 more
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Maximum Likelihood Estimation in the Fractional Vasicek Model
Lithuanian Journal of Statistics, 2017 We consider the fractional Vasicek model of the form dXt = (α-βXt)dt +γdBHt , driven by fractional Brownian motion BH with Hurst parameter H ∈ (1/2,1).
Stanislav Lohvinenko +1 more
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Maximum likelihood estimation for social network dynamics [PDF]
, 2009 A model for network panel data is discussed, based on the assumption that the observed data are discrete observations of a continuous-time Markov process on the space of all directed graphs on a given node set, in which changes in tie variables are ...
Koskinen, Johan +2 more
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Maximum-Likelihood Estimation in a Special Integer Autoregressive Model
Econometrics, 2020 The paper is concerned with estimation and application of a special stationary integer autoregressive model where multiple binomial thinnings are not independent of one another.
Robert C. Jung, Andrew R. Tremayne
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Nonparametric Sieve Maximum Likelihood Estimation of Semi-Competing Risks Data
Mathematics, 2022 In biomedical studies involving time-to-event data, a subject may experience distinct types of events. We consider the problem of estimating the transition functions for a semi-competing risks model under illness-death model framework.
Xifen Huang, Jinfeng Xu
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Disjoint Tree Mergers for Large-Scale Maximum Likelihood Tree Estimation
Algorithms, 2021 The estimation of phylogenetic trees for individual genes or multi-locus datasets is a basic part of considerable biological research. In order to enable large trees to be computed, Disjoint Tree Mergers (DTMs) have been developed; these methods operate ...
Minhyuk Park +2 more
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stochprofML: stochastic profiling using maximum likelihood estimation in R
BMC Bioinformatics, 2021 Background Tissues are often heterogeneous in their single-cell molecular expression, and this can govern the regulation of cell fate. For the understanding of development and disease, it is important to quantify heterogeneity in a given tissue.
Lisa Amrhein, Christiane Fuchs
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Maximum‐likelihood estimation of the geometric niche preemption model
Ecosphere, 2021 The geometric series or niche preemption model is an elementary ecological model in biodiversity studies. The preemption parameter of this model is usually estimated by regression or iteratively by using May's equation.
Jan Graffelman
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