Titlebook: Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993; Glenn R. Heidbreder Book 1996 Springer Science+Business Medi

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書(shū)目名稱Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993影響因子(影響力)




書(shū)目名稱Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993影響因子(影響力)學(xué)科排名




書(shū)目名稱Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993被引頻次




書(shū)目名稱Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993被引頻次學(xué)科排名




書(shū)目名稱Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993年度引用




書(shū)目名稱Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993年度引用學(xué)科排名




書(shū)目名稱Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993讀者反饋




書(shū)目名稱Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993讀者反饋學(xué)科排名

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離開(kāi)可分裂

協(xié)定

Smoothing in Maximum Quantum Entropy. in . dimensions if and only if the elliptic smoothing operator is of order 2., where 2. > .+.. It is thus impossible to constrain individual points unless 2. > ., and the derivative will have discontinuities unless 2. > . + 1.

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規(guī)范要多

Maximum Quantum Entropy for Classical Density Functions not relying on physical analogy. We introduce density matrices and the quantum entropy, compare MQE with ME, discuss the nature of constraints in MQE and show how these constraints influence the density estimate. We conclude with a discussion of the status of MQE as a maximum entropy method.

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0168-1222 ailing application in thephysical sciences, engineering, law, and economics. ..Audience:. Researchers and other professionals whose workrequires the application of practical statistical inference.978-90-481-4407-5978-94-015-8729-7Series ISSN 0168-1222 Series E-ISSN 2365-6425