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Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
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An Alternative Mathematical Foundation for Statistics
Acta Applicandae Mathematicae, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
LUTZ R, MUSIO, MONICA
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Wither Mathematical Statistics?
Advances in Applied Probability, 1975Despite the pun, I do regard the question as a serious one, and one of manageable size compared to the other well-known Whither problems that confront us as human beings. Let me begin by saying that of course I disagree with the position expressed by Professor Lindley, an abstract of whose paper I have had the privilege of seeing.
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Some Remarks on Mathematical Statistics
Science, 1931Der Verf. gibt eine kritische Darstellung der Entwicklung der mathematischen Statistik. Es werden kurz die älteren Hauptentwicklungsperioden geschildert -- die erste wird durch die Veröffentlichung der \glqq~Théórie Analytique des Probabilités\grqq~ von Laplace (1812) abgeschlossen, die zweite beginnt in den Jahren 1890-1900 und wird durch ...
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Mathematics for Mathematics Teachers —On Statistics—
2004I highly recommend that materials directly related to school mathematics should be included in the pre-service and in- service curriculum for secondary school teachers.
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1998
This text contains 300 problems in mathematical statistics, together with detailed solutions.
Pestman, W.R., Alberink, I.B.
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This text contains 300 problems in mathematical statistics, together with detailed solutions.
Pestman, W.R., Alberink, I.B.
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Statistics and Mathematics: The Appropriate Use of Mathematics within Statistics
Journal of the Royal Statistical Society: Series D (The Statistician), 1998Mathematics uses precise language and precise statements. Those statemen ts are justified by logically argued proofs. Mathematics unifies examples and generalizes them to a broad-er theory. I argue that statistics can and should use these approaches to become more relevant to the problems that it tackles, not less.
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Mathematical Programming in Statistics.
The Statistician, 1981Mohammad H. Sabertehrani +2 more
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Mathematical Statistics with Applications.
Applied Statistics, 1987Gary E. Meek +3 more
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