Best probability density function for random sampled data
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Publication:845443
DOI10.3390/e11041001zbMath1179.62012OpenAlexW2143250590WikidataQ33527927 ScholiaQ33527927MaRDI QIDQ845443
Publication date: 29 January 2010
Published in: Entropy (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/e11041001
Lagrange multipliersprobability density functionmaximum entropy methodadaptive simulated annealingleast squares errorlevel-function momentssmoothing noise
Exact distribution theory in statistics (62E15) Statistical aspects of information-theoretic topics (62B10) Statistical distribution theory (62E99)
Cites Work
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- Hausdorff moment problem: reconstruction of probability density functions
- Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems
- The maximum entropy method
- Hausdorff moment problem via fractional moments
- Hausdorff moment problem and maximum entropy: A unified approach
- Quantifying predictability through information theory: small sample estimation in a non-Gaussian framework
- Information Theory and Statistical Mechanics
- A statistical minimax approach to the Hausdorff moment problem
- An information theoretical approach to inversion problems
- Numerical aspects of finite Hausdorff moment problem by maximum entropy approach
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