Regression-based network-flow and inner-matrix reconstruction
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Publication:6641038
DOI10.1111/sjos.12742MaRDI QIDQ6641038
Michael Lebacher, Göran Kauermann
Publication date: 20 November 2024
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
maximum entropyiterative proportional fittinggeneralized regressionexpectation conditional maximizationmatrix imputation
Cites Work
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- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- Computing the maximum-entropy extension of given discrete probability distributions
- Estimation of voter transitions based on ecological inference: an empirical assessment of different approaches
- Recovering information in the case of underdetermined problems and incomplete economic data
- Adjustable network reconstruction with applications to CDS exposures
- Numerical analysis for engineers and natural scientists.
- Network tomography: recent developments
- Multiplier and gradient methods
- On a least squares adjustment of a sampled frequency table when the expected marginal totals are known.
- Network Tomography: Estimating Source-Destination Traffic Intensities from Link Data
- Maximum likelihood estimation via the ECM algorithm: A general framework
- Input-Output Analysis
- A Comparative Study of Algorithms for Matrix Balancing
- Estimating Latent Processes on a Network From Indirect Measurements
- Analytical maximum-likelihood method to detect patterns in real networks
- Estimating Nonnegative Matrices from Marginal Data
- An Iterative Procedure for Estimation in Contingency Tables
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