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
semanticscholar +1 more source
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
doaj +1 more source
Maximum smoothed likelihood estimation and smoothed maximum likelihood estimation in the current status model [PDF]
, 2010 We consider the problem of estimating the distribution function, the density and the hazard rate of the (unobservable) event time in the current status model.
Groeneboom, Piet +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
doaj +1 more source
High-Order Maximum Likelihood Methods for Direction of Arrival Estimation
IEEE Open Journal of Signal Processing, 2021 It is shown that using high-order statistics (higher than two) is beneficial in subspace-based Direction Of Arrival (DOA) estimation methods. Particularly, the high-order MUltiple SIgnal Classification (MUSIC) method, also known as $ 2q$-MUSIC method ...
Mohammadhossein Barat +2 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Optimization of Aeolus' aerosol optical properties by maximum-likelihood estimation [PDF]
Atmospheric Measurement Techniques, 2022 The European Space Agency (ESA) Earth Explorer Mission Aeolus was launched in August 2018, carrying the first Doppler wind lidar in space. Its primary payload, the Atmospheric LAser Doppler INstrument (ALADIN), is an ultraviolet (UV) high-spectral ...
F. Ehlers +6 more
doaj +1 more source
A Simple Approach to Maximum Intractable Likelihood Estimation [PDF]
, 2013 Approximate Bayesian Computation (ABC) can be viewed as an analytic approximation of an intractable likelihood coupled with an elementary simulation step.
Johansen, Adam M., Rubio, F. J.
core +2 more sources