On the Exact Variance of Tsallis Entanglement Entropy in a Random Pure State
Entropy, 2019 The Tsallis entropy is a useful one-parameter generalization to the standard von Neumann entropy in quantum information theory. In this work, we study the variance of the Tsallis entropy of bipartite quantum systems in a random pure state.
Lu Wei
doaj +3 more sources
Examining the associations between manic symptoms and cognitive performance in bipolar disorders: evidence from a cross-sectional replication study in the FACE-BD cohort [PDF]
International Journal of Bipolar DisordersStudies examining the effect of mania on cognition in Bipolar Disorders (BD) have yielded contradictory results. Koenders and collaborators showed in 2014 that, among 189 adults with BD, adults with subclinical manic symptoms perform a task measuring ...
Nathan Vidal +22 more
doaj +2 more sources
Interior Point Algorithm in Multi-objective Portfolio Optimization: GlueVaR Approach [PDF]
تحقیقات مالی, 2023 Objective Investors, in their pursuit to maximize expected returns, minimize risks in their stock portfolios, and achieve the desired benefits, require suitable methods and criteria to select stocks for their portfolios and allocate capital.
Elaheh Gohania +2 more
doaj +1 more source
General dependence structures for some models based on exponential families with quadratic variance functions [PDF]
TEST, 2022 We describe a procedure to introduce general dependence structures on a set of random variables. These include order-$q$ moving average-type structures, as well as seasonal, periodic, spatial and spatio-temporal dependences. The invariant marginal distribution can be in any family that is conjugate to an exponential family with quadratic variance ...
Luis Nieto-Barajas +1 more
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Decision Boundaries in the sense of Naive Bayesian for Multidimensional cases (Naïve Decision Surface Network) [PDF]
Kirkuk Journal of Science, 2018 Naive Bayesian classifier is a fundamental statistical method that assents the conditional independence of features values by minimizing the probability errors within the classes.
Dhiadeen Salih
doaj +1 more source
Exploration of new chemical materials using black-box optimization with the D-wave quantum annealer
Frontiers in Computer Science, 2023 In materials informatics, searching for chemical materials with desired properties is challenging due to the vastness of the chemical space. Moreover, the high cost of evaluating properties necessitates a search with a few clues.
Mikiya Doi +7 more
doaj +1 more source
Semina: Ciências Agrárias, 2020 Different polynomial functions were tested for mean trajectory modeling with different residual variance structures. A total of 15,148 weight records of 3,115 Nellore Mocho cattle with ages between 1 and 660 days, raised in northern Brazil.
Diego Helcias Cavalcante +6 more
doaj +1 more source
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers
Journal of Computational and Graphical Statistics, 2022 Directed acyclic graph (DAG) models are widely used to represent causal relationships among random variables in many application domains. This paper studies a special class of non-Gaussian DAG models, where the conditional variance of each node given its parents is a quadratic function of its conditional mean.
Wei Zhou, Xin He, Wei Zhong, Junhui Wang
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Edgeworth expansions for studentized statistics under weak dependence [PDF]
, 2010 In this paper, we derive valid Edgeworth expansions for studentized versions of a large class of statistics when the data are generated by a strongly mixing process.
Lahiri, S. N.
core +3 more sources
Reference priors for exponential families with simple quadratic variance function
Journal of Multivariate Analysis, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Consonni G. +2 more
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