Finite Horizon Maximum Likelihood Estimation for Integrated Navigation with RF Beacon Measurements
Sign Up to like & getrecommendations! Published in 2019 at "Asian Journal of Control"
DOI: 10.1002/asjc.2213
Abstract: We develop a Finite Horizon Maximum Likelihood Estimator (FHMLE) that fuses Inertial Measurement Unit (IMU) and radio frequency (RF) measurements over a sliding window of finite length for three-dimensional navigation. Available RF data includes pseudo–ranges,… read more here.
Keywords: estimation; maximum likelihood; horizon maximum; finite horizon ... See more keywords
Rapid maximum likelihood ancestral state reconstruction of continuous characters: A rerooting‐free algorithm
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DOI: 10.1002/ece3.2837
Abstract: Abstract Ancestral state reconstruction is a method used to study the evolutionary trajectories of quantitative characters on phylogenies. Although efficient methods for univariate ancestral state reconstruction under a Brownian motion model have been described for… read more here.
Keywords: reconstruction; maximum likelihood; state reconstruction; likelihood ancestral ... See more keywords
Landscape genetic inferences vary with sampling scenario for a pond‐breeding amphibian
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DOI: 10.1002/ece3.5023
Abstract: Abstract A critical decision in landscape genetic studies is whether to use individuals or populations as the sampling unit. This decision affects the time and cost of sampling and may affect ecological inference. We analyzed… read more here.
Keywords: vary sampling; maximum likelihood; landscape; model ... See more keywords
Sliding Window Iterative Identification for Nonlinear Closed‐Loop Systems Based on the Maximum Likelihood Principle
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DOI: 10.1002/rnc.7705
Abstract: The parameter estimation problem for the nonlinear closed‐loop systems with moving average noise is considered in this article. For purpose of overcoming the difficulty that the dynamic linear module and the static nonlinear module in… read more here.
Keywords: sliding window; nonlinear closed; loop systems; maximum likelihood ... See more keywords
Performance of Cross‐Validated Targeted Maximum Likelihood Estimation
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DOI: 10.1002/sim.70185
Abstract: Advanced methods for causal inference, such as targeted maximum likelihood estimation (TMLE), require specific convergence rates and the Donsker class condition for valid statistical estimation and inference. In situations where there is no differentiability due… read more here.
Keywords: performance; estimation; targeted maximum; cross ... See more keywords
Robust group variable screening based on maximum Lq-likelihood estimation.
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DOI: 10.1002/sim.9212
Abstract: Variable screening plays an important role in ultra-high-dimensional data analysis. Most of the previous analyses have focused on individual predictor screening using marginal correlation or other rank-based techniques. When predictors can be naturally grouped, the… read more here.
Keywords: likelihood estimation; estimation; variable screening; maximum likelihood ... See more keywords
Improved estimation in negative binomial regression
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DOI: 10.1002/sim.9361
Abstract: Negative binomial regression is commonly employed to analyze overdispersed count data. With small to moderate sample sizes, the maximum likelihood estimator of the dispersion parameter may be subject to a significant bias, that in turn… read more here.
Keywords: bias; maximum likelihood; negative binomial; estimation ... See more keywords
Targeted maximum likelihood estimation of causal effects with interference: A simulation study
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9525
Abstract: Interference, the dependency of an individual's potential outcome on the exposure of other individuals, is a common occurrence in medicine and public health. Recently, targeted maximum likelihood estimation (TMLE) has been extended to settings of… read more here.
Keywords: targeted maximum; likelihood estimation; interference; maximum likelihood ... See more keywords
On the convergence of the maximum likelihood estimator for the transition rate under a 2-state symmetric model
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Mathematical Biology"
DOI: 10.1007/s00285-019-01453-1
Abstract: Maximum likelihood estimators are used extensively to estimate unknown parameters of stochastic trait evolution models on phylogenetic trees. Although the MLE has been proven to converge to the true value in the independent-sample case, we… read more here.
Keywords: trait; maximum likelihood; state symmetric; transition rate ... See more keywords
Optimal approximation with exponential sums by a maximum likelihood modification of Prony’s method
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DOI: 10.1007/s10444-019-09692-y
Abstract: We consider a modification of Prony’s method to solve the problem of best approximation of a given data vector by a vector of equidistant samples of an exponential sum in the 2-norm. We survey the… read more here.
Keywords: modification prony; maximum likelihood; prony method; method ... See more keywords
Implementing Maximum Likelihood Estimation of Empirical Matching Models
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DOI: 10.1007/s10614-020-10072-8
Abstract: We propose two Mathematical Programming with Equilibrium Constraints (MPEC) formulations: the MPEC-Sparse and the MPEC-Dense to estimate a class of separable matching models. We compare MPEC with the Nested Fixed-Point (NFXP) algorithm—a well-received method in… read more here.
Keywords: likelihood estimation; matching models; maximum likelihood; matching ... See more keywords