National Science Library of Georgia

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Variational Bayesian learning theory / Shinichi Nakajima, Kazuho Watanabe, Masashi Sugiyama. by
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2019
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Fat chance : probability from 0 to 1 / Benedict Gross, Joe Harris, Emily Riehl. by
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2019
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Probability : theory and examples / Rick Durrett. by Series: Cambridge series in statistical and probabilistic mathematics ; 49.
Edition: Fifth edition.
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2019
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Probability theory and statistical inference : empirical modelling with observational data / Aris Spanos. by
Edition: Second edition.
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2019
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Data-driven computational methods : parameter and operator estimations / John Harlim. by
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2018
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Lectures on the Poisson Process / Günter Last, Mathew Penrose. by Series: Institute of Mathematical Statistics textbooks ; 7 | Institute of Mathematical Statistics textbooks ; 7.
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2018
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Probability on graphs : random processes on graphs and lattices / Geoffrey Grimmett, Statistical Laboratory, University of Cambridge. by Series: Institute of Mathematical Statistics textbooks ; 8.
Edition: Second edition.
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2018
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Quantum fields and processes : a combinatorial approach / John Gough, Aberystwyth University, Joachim Kupsch, University of Kaiserslautern. by Series: Cambridge studies in advanced mathematics ; 171.
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2018
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High-dimensional probability : an introduction with applications in data science / Roman Vershynin. by Series: Cambridge series in statistical and probabilistic mathematics ; 47.
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2018
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Stochastic dynamics, filtering, and optimization / Debasish Roy, G. Visweswara Rao. by
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2017
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Probability on real Lie algebras / Uwe Franz, Université de Franche-Comté, Nicolas Privault, Nanyang Technological University, Singapore. by Series: Cambridge tracts in mathematics ; 206.
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2016
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Noncommutative mathematics for quantum systems / Uwe Franz, Adam Skalski. by Series: Cambridge IISc series
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2016
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Quantum stochastics / Mou-Hsiung Chang, Mathematical Sciences Division, U.S. Army Research Office. by Series: Cambridge series on statistical and probabilistic mathematics ; 37.
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2015
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Introduction to random graphs / Alan Frieze, Carnegie-Mellon University, Pennsylvania, Michał Karoński, Adam Mickiewicz University and Emory University. by
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2015
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Probabilistic forecasting and Bayesian data assimilation / Sebastian Reich, University of Potsdam and University of Reading, Colin Cotter, Imperial College, London. by
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2015
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  • Probabilistic Forecasting & Bayesian Data Assimilation
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The surprising mathematics of longest increasing subsequences / Dan Romik. by Series: Institute of Mathematical Statistics textbooks ; 4.
Material type: Text Text; Format: available online remote; Literary form: Not fiction
Publisher: Cambridge : Cambridge University Press, 2015
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