Matrix Variate
Matrix variate beta distribution
... new matrix-variate beta distribution has been ...using matrix trans- ...with matrix- variate beta type I and type II distributions have also been ...
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Properties of Matrix Variate Beta Type 3 Distribution
... In this paper, we study several properties of matrix variate beta type 3 distribution. We also derive probability density functions of the product of two independent random matrices when one of them is beta ...
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Efficient Multiple-Trait Association and Estimation of Genetic Correlation Using the Matrix-Variate Linear Mixed Model
... The matrix-variate normal distribution is a gen- eralization of the multivariate normal distribution to matri- ces (Gupta and Nagar ...The matrix-variate normal distribution is a very natural ...
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A Matrix-Variate Regression Model with Canonical States: An Application to Elderly Danish Twins
... a matrix-variate regression model with canonical states has been proposed and ...covariance matrix into the two covariance matrices Ω and Φ can be thought of as a separability condition on the two ...
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Minimax Estimation of the Mean Matrix of the Matrix Variate Normal Distribution under the Divergence Loss Function
... The problem of estimating the mean matrix of a matrix-variate normal distribution with a co- variance matrix is considered under two loss functions. We construct a class of empirical Bayes ...
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Missing observation analysis for matrix-variate time series data
... for matrix-variate dynamic linear models (MV-DLMs), in order to allow missing observation analysis, of any sub-vector or sub-matrix of the observation time series ...and matrix t ...
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APPELL’S AND HUMBERT’S DISTRIBUTIONS OF MATRIX VARIATE IN THE COMPLEX CASE
... investigate matrix variate generalizations of multivariate Appell’s and Humbert’s families of distributions in the complex ...of matrix arguments-one each for the function ...
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A Matrix Variate Skew Distribution
... flexible matrix variate distribution models that can represent both skewed and symmetric distributions which can also account for dependence among individual obser- ...
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Matrix-Variate Probabilistic Model for Canonical Correlation Analysis
... Motivated by the fact that in computer vision data samples are matrices, in this paper, we propose a matrix-variate probabilistic model for canonical correlation analysis (CCA). Unlike probabilistic CCA ...
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A characterization of matrix variate normal distribution
... The joint normality of two random vectors is obtained based on normal conditional with linear regression and constant covariance matrix of each vector given the value of the other withou[r] ...
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A unified complex noncentral Wishart type distribution inspired by massive MIMO systems
... channel matrix X is of particular interest, and has been studied to a wide extent in literature (see for example, James (1964); Gupta and Varga (1995); Ratnarajah and Vaillancourt ...plex matrix ...
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A Simple Control Variate Method for Options Pricing with Stochastic Volatility Models
... The results in Table II-IV show that our new control variate method has good variance reduction efficiency for European options pricing under the Hull-White model. The variance ratios vary as different parameters ...
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Moments of Continuous Bi-Variate Distributions: An Alternative Approach
... g c d = E X Y + λ the nth moment of expected value of the t distribution of the cth power of X and dth power of Y about the constant λ .These moments are obtained by the use of bi-variate moment generating ...
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Canonical variate analysis in safflower (Carthamus tinctorius L.)
... Seventy five genotypes of safflower representing the broad spectrum of variation were assessed for genetic divergence for eight characters using Mahalanobis D 2 statistic and pri[r] ...
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Multi-Variate High-Order Attacks of Shuffled Tables Recomputation
... multi- variate HODPA (exploiting leakages in the table recomputation as well as in the masked algorithm, where the secret key is used) and of a state-of-the-art HODPA (exploiting only the leakages within the ...
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The additive approximation on a four variate Jensen type operator equation
... We study the Hyers-Ulam stability theory of a four-variate Jensen-type functional equation by considering the approximate remainder φ and obtain the correspond- ing error formulas. We bring to light the close ...
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Variance analysis of control variate technique and applications in Asian option pricing
... nancially well to do, it consumes time to simulate a price inside reasonable boundaries of accuracy for sure contracts.for reduce computational time, some variance reduction techniques have been suggested. For example, ...
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Tri variate Optimization Strategies of Semi Join Technique on Distributed Databases
... Step 2: Assume the number of joining attributes = n Step 3: Generate the sequence of semi-join operations Ri+1 semi-join Ri where i = 1 to number of relations Step 4: Calculate the cost [r] ...
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Relevance of Data Transformation Techniques in Weed Science
... Additive nature of treatment effects and block (environmental) effects, independence of experimental errors and normality of the study variate are necessary assumptions for validity of the inferences made from ...
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An Event Group Based Classification Framework for Multi-variate Sequential Data
... Decision tree algorithms were not traditionally considered for sequential data classification, mostly because feature generation needs to be integrated with the modelling procedure in order to avoid a localisation ...
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