On the effective implementation of the iterative proportional fitting procedure

DOI10.1016/0167-9473(93)E0055-9zbMath0875.65122OpenAlexW2050836213MaRDI QIDQ674210

Stanislav Přeučil, Radim Jiroušek

Publication date: 28 February 1997

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(93)e0055-9

zbMATH Keywords

Maximum likelihood estimateAlgorithmic complexityMarginal problem

Mathematics Subject Classification ID

Multivariate analysis (62H99) Probabilistic methods, stochastic differential equations (65C99)

Related Items (16)

Total positivity in exponential families with application to binary variables ⋮ Statistical matching of multiple sources: A look through coherence ⋮ Local computations of the iterative proportional scaling procedure for hierarchical models ⋮ Unnamed Item ⋮ BAYESIAN NETWORK REVISION WITH PROBABILISTIC CONSTRAINTS ⋮ Iterative proportional scaling via decomposable submodels for contingency tables ⋮ A new algorithm for decomposition of graphical models ⋮ An improved Hara-Takamura procedure by sharing computations on junction tree in Gaussian graphical models ⋮ A review of message passing algorithms in estimation of distribution algorithms ⋮ A Localization Approach to Improve Iterative Proportional Scaling in Gaussian Graphical Models ⋮ Safe projections of binary data sets ⋮ STOCHASTIC ANALYSIS OF CELLULAR AUTOMATA WITH APPLICATION TO THE VOTER MODEL ⋮ Integrating inconsistent data in a probabilistic model ⋮ Decomposition of a hypergraph by partial-edge separators ⋮ Probabilistic Independence Networks for Hidden Markov Probability Models ⋮ An implementation of the iterative proportional fitting procedure by propagation trees.

Cites Work

• Unnamed Item
• Computing the maximum-entropy extension of given discrete probability distributions
• I-divergence geometry of probability distributions and minimization problems
• Simple Linear-Time Algorithms to Test Chordality of Graphs, Test Acyclicity of Hypergraphs, and Selectively Reduce Acyclic Hypergraphs
• A fast procedure for model search in multidimensional contingency tables
• A Fast Model Selection Procedure for Large Families of Models
• On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals are Known

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