Results 11 to 20 of about 314,179 (266)
Item Parameter Recovery: Sensitivity to Prior Distribution [PDF]
Educational and Psychological Measurement, 2023 Marginal maximum likelihood, a common estimation method for item response theory models, is not inherently a Bayesian procedure. However, due to estimation difficulties, Bayesian priors are often applied to the likelihood when estimating 3PL models, especially with small samples.
Christine E. DeMars, Paulius Satkus
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Inverse optimization for the recovery of constraint parameters [PDF]
European Journal of Operational Research, 2020 Most inverse optimization models impute unspecified parameters of an objective function to make an observed solution optimal for a given optimization problem with a fixed feasible set. We propose two approaches to impute unspecified left-hand-side constraint coefficients in addition to a cost vector for a given linear optimization problem.
Timothy C. Y. Chan, Neal Kaw
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Comparison of kinemyography and electromyography during onset of and recovery from non-depolarising neuromuscular blockade: prospective observational study [PDF]
Anaesthesiology Intensive TherapyBackground Quantitative neuromuscular monitoring is essential for the safe management of neuromuscular blockade. Although electromyography (EMG) is increasingly regarded as a reference technique, kinemyography (KMG) remains widely used in clinical ...
Michal Kalina +3 more
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Geofield parameter recovery [PDF]
Measurement Techniques, 2005 Various methods are considered for recovering geofield parameters (algebraic polynomials, filters, and so on), and it is shown to be possible for software packages to be employed by users without a deep knowledge of the theory and programming. Recommendations are made on method choice and the control parameters in preparing to simulate surfaces and map
A. M. Pashaev +3 more
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Expand-and-Cluster: Exact Parameter Recovery of Neural Networks
CoRR, 2023 Can we identify the weights of a neural network by probing its input-output mapping? At first glance, this problem seems to have many solutions because of permutation, overparameterisation and activation function symmetries. Yet, we show that the incoming weight vector of each neuron is identifiable up to sign or scaling, depending on the activation ...
Flavio Martinelli +3 more
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Regularization Parameter Selection for the Low Rank Matrix Recovery [PDF]
Journal of Optimization Theory and Applications, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pan Shang, Lingchen Kong
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Parameter redundancy in capture–recapture–recovery models [PDF]
Statistical Methodology, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hubbard, Ben A. +2 more
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Convex Parameter Recovery for Interacting Marked Processes [PDF]
IEEE Journal on Selected Areas in Information Theory, 2020 We introduce a new general modeling approach for multivariate discrete event data with categorical interacting marks, which we refer to as marked Bernoulli processes. In the proposed model, the probability of an event of a specific category to occur in a location may be influenced by past events at this and other locations.
Anatoli B. Juditsky +3 more
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A linkage among whole-stand model, individual-tree model and diameter-distribution model
Journal of Forest Science, 2010 Stand growth and yield models include whole-stand models, individual-tree models and diameter-distribution models. In this study, the three models were linked by forecast combination and parameter recovery methods one after another.
X. Zhang, Y. Lei
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X-PSI Parameter Recovery for Temperature Map Configurations Inspired by PSR J0030+0451
The Astrophysical Journal, 2023 In the last few years, the NICER collaboration has provided mass and radius inferences, via pulse profile modeling, for two pulsars: PSR J0030+0451 and PSR J0740+6620.
Serena Vinciguerra +5 more
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