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Dynamic Programming Algorithms for Two Statistical Problems in Computational Biology
2003We present dynamic programming algorithms for two exact statistical tests that frequently arise in computational biology. The first test concerns the decision whether an observed sequence stems from a given profile (also known as position specific score matrix or position weight matrix), or from an assumed background distribution.
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Computing Statistics under Fuzzy Uncertainty: Formulation of the Problem
2012Need to process fuzzy uncertainty. In many practical situations, we only have expert estimates for the inputs x i . Sometimes, experts provide guaranteed bounds on the x i , and even the probabilities of different values within these bounds. However, such cases are rare.
Hung T. Nguyen +3 more
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Statistical Physics Problems in Adaptive Resolution Computer Simulations of Complex Fluids
Journal of Statistical Physics, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Praprotnik, M., Poblete, S., Kremer, K.
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Task Variables in Statistical Problem Solving Using Computers
1992In this work an analysis of some task variables of statistical problems which can be proposed to the students to be solved on the computer, are presented. The objective of this didactical — mathematical analysis is to provide criteria of selection of the said problems, directed to guiding the student's learning towards the adequate meanings of the ...
J. Díaz Godino +2 more
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Statistical inference problems with applications to computational structural biology
2017In this data pervasive world, the efficient and accurate modelling of data is crucial to support reliable analyses and to improve the solution to related problems. In order to describe the given data, the problem of selecting a suitable model has to be carefully addressed.
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Computation of functional integrals in problems of quantum and statistical physics
Computer Physics Communications, 1999Abstract A method for computation of characteristics in quantum and statistical physics is described. This method is based on the representation of the matrix element of the evolution operator in Euclidean metrics in the form of a functional integral with a certain measure in the corresponding space and on the use of approximation formulas which we ...
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2016
The main purpose of this paper is to present the properties of our novel statistical model-based iterative approach to the image reconstruction from projections problem regarding its condition number. The reconstruction algorithm based on this concept uses a maximum likelihood estimation with an objective adjusted to the probability distribution of ...
Robert Cierniak +3 more
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The main purpose of this paper is to present the properties of our novel statistical model-based iterative approach to the image reconstruction from projections problem regarding its condition number. The reconstruction algorithm based on this concept uses a maximum likelihood estimation with an objective adjusted to the probability distribution of ...
Robert Cierniak +3 more
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Identifying the Computational Problem in Applied Statistics
2021Christos P. Kitsos, C. S. A. Nisiotis
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Statistical and Computational Inverse Problems
Technometrics, 2006Faming Liang, Jianhua Huang
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Some Statistical Problems in the Computation of Nuclidic Mass Formulae
1964The volume of the literature on nuclidic mass formulae bears witness to much vexation. There is no agreement on the terms to be used. Simple drop-model terms account for the major portion of each mass (v. Weizsacker 1935) and thus are a natural zeroth approximation. But how may we improve them into a first or second approximation while we are not quite
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