Markov chain analysis in agent-based model calibration by classical and simulated minimum distance
Sign Up to like & getrecommendations! Published in 2018 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-018-1258-y
Abstract: Agent-based models are nowadays widely used; however, their calibration on real data still remains an open issue which prevents to exploit completely their potentiality. Rarely such a kind of models can be studied analytically; more… read more here.
Keywords: agent based; markov chain; minimum distance;
Generalized minimum distance functions
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Algebraic Combinatorics"
DOI: 10.1007/s10801-018-0855-x
Abstract: Using commutative algebra methods, we study the generalized minimum distance function (gmd function) and the corresponding generalized footprint function of a graded ideal in a polynomial ring over a field. The number of solutions that… read more here.
Keywords: minimum distance; hamming weight; generalized minimum; function ... See more keywords
The minimum distance superset problem: formulations and algorithms
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Global Optimization"
DOI: 10.1007/s10898-017-0579-9
Abstract: The partial digest problem consists in retrieving the positions of a set of points on the real line from their unlabeled pairwise distances. This problem is critical for DNA sequencing, as well as for phase… read more here.
Keywords: minimum distance; distance; superset problem; distance superset ... See more keywords
Minimum distance-unbalancedness of trees
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DOI: 10.1007/s10910-021-01228-4
Abstract: For a graph G, and two distinct vertices u and v of G, let nG(u,v)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n_{G}(u,v)$$\end{document} be the number of vertices of G that are closer in… read more here.
Keywords: distance unbalancedness; usepackage; minimum distance; unbalancedness trees ... See more keywords
Minimum distance model checking in Berkson measurement error models with validation data
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DOI: 10.1007/s11749-018-0610-6
Abstract: This article studies a minimum distance regression model checking approach in the presence of Berkson measurement errors in covariates without specifying the measurement error density but when external validation data are available. The proposed tests… read more here.
Keywords: measurement error; model; minimum distance; model checking ... See more keywords
Efficiency improvements for minimum distance estimation of causal and invertible ARMA models
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DOI: 10.1016/j.econlet.2017.11.013
Abstract: In this note we analyze efficiency improvements over the Gaussian maximum likelihood (ML) estimator for frequency domain minimum distance (MD) estimation for causal and invertible autoregressive moving average (ARMA) models. The analysis complements Velasco and… read more here.
Keywords: minimum distance; estimation; causal; efficiency improvements ... See more keywords
Optimization of planar mechanisms by using a minimum distance function
Sign Up to like & getrecommendations! Published in 2019 at "Mechanism and Machine Theory"
DOI: 10.1016/j.mechmachtheory.2019.04.002
Abstract: Abstract The paper examines the application of a general minimum distance error function to the dimensional kinematic synthesis of bidimensional mechanisms. The minimum distance approach makes it possible to solve the problem maintaining the same… read more here.
Keywords: optimization; method; minimum distance; mechanisms using ... See more keywords
Minimum Distance Between Two Epitopes in Sandwich Immunoassays for Small Molecules.
Sign Up to like & getrecommendations! Published in 2022 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.2c03592
Abstract: The pursuit of the limit between dimensionalities is a scientific goal with high applicability. Sandwich immunoassay, usually based on two antibodies binding two epitopes, is one of the most popular mainstay tools in both academic… read more here.
Keywords: sandwich immunoassays; two epitopes; distance two; distance ... See more keywords
Minimum distance estimation in linear regression with strong mixing errors
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DOI: 10.1080/03610926.2018.1563178
Abstract: Abstract Minimum distance estimation on the linear regression model with independent errors is known to yield an efficient and robust estimator. We extend the method to the model with strong mixing errors and obtain an… read more here.
Keywords: minimum distance; estimation linear; regression; linear regression ... See more keywords
On two-stage estimation of structural instrumental variable models
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DOI: 10.1093/biomet/asx056
Abstract: Summary Two-stage least squares estimation is popular for structural equation models with unmeasured confounders. In such models, both the outcome and the exposure are assumed to follow linear models conditional on the measured confounders and… read more here.
Keywords: minimum distance; two stage; outcome exposure; instrumental variable ... See more keywords
Asymmetric Linear Physical-Layer Network Coding
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DOI: 10.1109/lcomm.2021.3091880
Abstract: In this letter, we put forth a new asymmetric linear PNC (A-LPNC) scheme for the setup where the users are subject to non-identical power constraints and modulation schemes. For deterministic channel, we show that given… read more here.
Keywords: asymmetric linear; network coding; minimum distance; linear physical ... See more keywords