Probability Mass Function-Based Adaptive Median Filtering for Acoustic Radiation Force Impulse Imaging: A Feasibility Study [PDF]
IEEE Access, 2023 Among ultrasound images, the acoustic radiation force impulse (ARFI) image can provide information about the stiffness of the tissue using both a pushing beam and a detection beam. However, there is a problem in that the impulse noise is generated in the
Ga Yeong Lee +4 more
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On Underdispersed Count Kernels for Smoothing Probability Mass Functions [PDF]
Stats, 2023 Only a few count smoothers are available for the widespread use of discrete associated kernel estimators, and their constructions lack systematic approaches. This paper proposes the mean dispersion technique for building count kernels. It is only applicable to count distributions that exhibit the underdispersion property, which ensures the convergence ...
Célestin C. Kokonendji +3 more
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Ordered Probability Mass Function [PDF]
, 2013 Suppose that in the four tests Alice's scores are 90, 95, 85, 90, and Bob's scores are 85, 95, 90, 90. How to evaluate their scores? In this paper, we introduce the concept of ordered probability mass function which can be used to find a probability mass function with smaller variance.
Zhengjun Cao, Lihua Liu
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Factorization of joint probability mass functions into parity check interactions [PDF]
2009 IEEE International Symposium on Information Theory, 2009 We show that any joint probability mass function (PMF) can be expressed as a product of parity check factors and factors of degree one with the help of some auxiliary variables, if the alphabet size is appropriate for defining a parity check equation.
Muhammet Fatih Bayramoglu +1 more
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Numerical Approximation of Probability Mass Functions via the Inverse Discrete Fourier Transform [PDF]
Methodology and Computing in Applied Probability, 2013 First passage distributions of semi-Markov processes are of interest in fields such as reliability, survival analysis, and many others. The problem of finding or computing first passage distributions is, in general, quite challenging. We take the approach of using characteristic functions (or Fourier transforms) and inverting them, to numerically ...
Richard L. Warr
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Kernel Smoothed Probability Mass Functions for Ordered Datatypes [PDF]
SSRN Electronic Journal, 2017 We propose a kernel function for ordered categorical data that overcomes limitations present in ordered kernel functions appearing in the literature on the estimation of probability mass functions for multinomial ordered data. Some limitations arise from assumptions made about the support of the underlying random variable.
Jeffrey S. Racine, Qi Li, Karen X. Yan
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Geometrical Domain of Spin 1/2 Probability Mass Function [PDF]
, 2007 Submitted to Foundations of ...
Karthik Bharath +2 more
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Dynamic Image Sampling Using a Novel Variance Based Probability Mass Function [PDF]
IEEE Transactions on Computational Imaging, 2020 Incremental sampling can be applied in scientific imaging techniques whenever the measurements are taken incrementally, i.e., one pixel position is measured at a time. It can be used to reduce the measurement time as well as the dose impinging onto a specimen.
Simon Grosche +3 more
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Some Results on Belief Functions induced by Probability Mass Function
International Journal of Latest Engineering Research and Applications (IJLERA), 2023 D. N. Kandekar, Ramdas B. Sonawane
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Signed Meadow valued Probability Mass Functions
, 2013 The Kolmogorov axioms for probability mass functions are phrased in the context of signed meadows.
J.A. Bergstra, Alban Ponse
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