Results 21 to 30 of about 2,328,427 (283)
Convergence in Total Variation to a Mixture of Gaussian Laws
Mathematics, 2018 It is not unusual that Xn⟶distVZ where Xn, V, Z are real random variables, V is independent of Z and Z∼N(0,1). An intriguing feature is that PVZ∈A=EN(0,V2)(A) for each Borel set A⊂R, namely, the probability distribution of the limit VZ is a ...
Luca Pratelli, Pietro Rigo
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Scaling Analysis of Multilevel Polar Coded Modulation
IEEE Access, 2019 In this paper, we analyze and prove the capacity-achieving property of the equivalent asymmetric channels of multilevel polar-coded modulation in view of the scaling assuming regime, which employ some techniques of symmetric channels.
Kun Zhao +3 more
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Electronic Journal of Plant Breeding, 2023 Multivariate statistical analysis techniques like Principal Component Analysis (PCA) and heirarchial clustering were used to evaluate Genetic diversity among 246 genotypes of Tobacco for six major yield and yield-related traits.
B. P. Maruthi Prasad1 , B. R. Patil*1, D. Geeta2 and P. S. Matiwade3
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A Class of Association Measures for Categorical Variables Based on Weighted Minkowski Distance
Entropy, 2019 Measuring and testing association between categorical variables is one of the long-standing problems in multivariate statistics. In this paper, I define a broad class of association measures for categorical variables based on weighted Minkowski distance.
Qingyang Zhang
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Sanamed, 2020 Objectives: Determining tibial tubercle-trochlear groove distance range as measured before the operation in the patients to whom total knee prosthesis will be applied due to mid to advanced level of osteoarthritic and seeing the post-operative variations
Oguz Turker +5 more
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Operational Quantum Average-Case Distances [PDF]
Quantum, 2023 We introduce distance measures between quantum states, measurements, and channels based on their statistical distinguishability in generic experiments.
Filip B. Maciejewski +2 more
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On the Total Variation Distance of Semi-Markov Chains [PDF]
, 2015 Semi-Markov chains (SMCs) are continuous-time probabilistic transition systems where the residence time on states is governed by generic distributions on the positive real line. This paper shows the tight relation between the total variation distance on SMCs and their model checking problem over linear real-time specifications.
Bacci, Giorgio +3 more
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Topological Structures on DMC Spaces †
Entropy, 2018 Two channels are said to be equivalent if they are degraded from each other. The space of equivalent channels with input alphabet X and output alphabet Y can be naturally endowed with the quotient of the Euclidean topology by the equivalence ...
Rajai Nasser
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Tailoring Language Generation Models under Total Variation Distance
, 2023 The standard paradigm of neural language generation adopts maximum likelihood estimation (MLE) as the optimizing method. From a distributional view, MLE in fact minimizes the Kullback-Leibler divergence (KLD) between the distribution of the real data and that of the model. However, this approach forces the model to distribute non-zero (sometimes large)
Ji, Haozhe +4 more
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Complete Axiomatization for the Total Variation Distance of Markov Chains [PDF]
Electronic Notes in Theoretical Computer Science, 2018 We propose a complete axiomatization for the total variation distance of finite labelled Markov chains. Our axiomatization is given in the form of a quantitative deduction system, a framework recently proposed by Mardare, Panangaden, and Plotkin (LICS 2016) to extend classical equational deduction systems by means of inferences of equality relations t ...
Bacci, Giorgio +3 more
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