Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems (Q1184223)

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scientific article; zbMATH DE number 34245
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Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems
scientific article; zbMATH DE number 34245

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    Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems (English)
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    28 June 1992
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    image reconstruction
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    logically consistent inference
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    nonlinear projection
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    nonsymmetric distance
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    linear constraints
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    selection rule
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    prior guess
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    f-divergences
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    Bregman's divergences
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    least squares
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    minimum discrimination information
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    composition consistency
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    method of maximum entropy
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