Search Results - "Simas, Alexandre B."

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  1. 1

    Covariance-Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference by Bolin, David, Simas, Alexandre B., Xiong, Zhen

    “…The stochastic partial differential equation (SPDE) approach is widely used for modeling large spatial datasets. It is based on representing a Gaussian random…”
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  2. 2

    Improved estimators for a general class of beta regression models by Simas, Alexandre B., Barreto-Souza, Wagner, Rocha, Andréa V.

    Published in Computational statistics & data analysis (01-02-2010)
    “…In this article, we extend the beta regression model proposed by Ferrari and Cribari-Neto (2004), which is generally useful in situations where the response is…”
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  3. 3

    Closed form expressions for moments of the beta Weibull distribution by Cordeiro, Gauss M, Simas, Alexandre B, Stošic, Borko D

    Published in Anais da Academia Brasileira de Ciências (01-06-2011)
    “…The beta Weibull distribution was first introduced by Famoye et al. (2005) and studied by these authors and Lee et al. (2007). However, they do not give…”
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  4. 4

    General mixed Poisson regression models with varying dispersion by Barreto-Souza, Wagner, Simas, Alexandre B.

    Published in Statistics and computing (01-11-2016)
    “…A general class of mixed Poisson regression models is introduced. This class is based on a mixing between the Poisson distribution and a distribution belonging…”
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  5. 5

    Improving estimation for beta regression models via EM-algorithm and related diagnostic tools by Barreto-Souza, Wagner, Simas, Alexandre B.

    “…In this paper we propose an alternative procedure for estimating the parameters of the beta regression model. This alternative estimation procedure is based on…”
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  6. 6

    Bessel regression and bbreg package to analyse bounded data by Barreto‐Souza, Wagner, Mayrink, Vinícius D., Simas, Alexandre B.

    “…Summary Beta regression has been extensively used by statisticians and practitioners to model bounded continuous data without a strong competitor having the…”
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  7. 7

    Uniform approximation of the heat kernel on a manifold by Shamarova, Evelina, Simas, Alexandre B.

    Published in Archiv der Mathematik (01-05-2017)
    “…We approximate the heat kernel h ( x ,  y ,  t ) on a compact connected Riemannian manifold M without boundary uniformly in ( x , y , t ) ∈ M × M × [ a , b ] ,…”
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  8. 8

    Hydrodynamic Limit for a Boundary Driven Stochastic Lattice Gas Model with Many Conserved Quantities by Simas, Alexandre B.

    Published in Journal of statistical physics (01-04-2010)
    “…We prove the hydrodynamic limit for a particle system in which particles may have different velocities. We assume that we have two infinite reservoirs of…”
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  9. 9

    Asymptotic adjustments of Pearson residuals in exponential family nonlinear models by Rocha, Andréa V., Simas, Alexandre B.

    “…In this work we define a set of corrected Pearson residuals for continuous exponential family nonlinear models that have the same distribution as the true…”
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  10. 10

    Influence diagnostics in a general class of beta regression models by Rocha, Andréa V., Simas, Alexandre B.

    Published in Test (Madrid, Spain) (01-05-2011)
    “…In this article, we consider the issue of assessing influence of observations in the general class of beta regression models introduced by Simas et al…”
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  11. 11

    W-Sobolev spaces by Simas, Alexandre B., Valentim, Fábio J.

    “…Fix strictly increasing right continuous functions with left limits and periodic increments, W i : R → R , i = 1 , … , d , and let W ( x ) = ∑ i = 1 d W i ( x…”
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  12. 12

    Some Results for Beta Fréchet Distribution by Barreto-Souza, Wagner, Cordeiro, Gauss M., Simas, Alexandre B.

    “…Nadarajah and Gupta ( 2004 ) introduced the beta Fréchet (BF) distribution, which is a generalization of the exponentiated Fréchet (EF) and Fréchet…”
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  13. 13

    The distribution of Pearson residuals in generalized linear models by Cordeiro, Gauss M., Simas, Alexandre B.

    Published in Computational statistics & data analysis (01-07-2009)
    “…In general, the distribution of residuals cannot be obtained explicitly. In this paper we give an asymptotic formula for the density of Pearson residuals in…”
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  14. 14

    Substitution Operators by Rocha, Andréa V., Simas, Alexandre B., Toom, André

    Published in Journal of statistical physics (01-05-2011)
    “…We study a new kind of random processes with discrete time. In fact we study a certain class of operators called substitution operators whose iterations…”
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  15. 15

    Bias-corrected estimators for dispersion models with dispersion covariates by Simas, Alexandre B., Rocha, Andréa V., Barreto-Souza, Wagner

    “…In this paper we discuss bias-corrected estimators for the regression and the dispersion parameters in an extended class of dispersion models ( Jørgensen,…”
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  16. 16

    Equilibrium fluctuations for exclusion processes with conductances in random environments by Farfan, Jonathan, Simas, Alexandre B., Valentim, Fábio J.

    “…Fix a function W : R d → R such that W ( x 1 , … , x d ) = ∑ k = 1 d W k ( x k ) , where d ≥ 1 , and each function W k : R → R is strictly increasing, right…”
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  17. 17

    Dynamical Large Deviations for a Boundary Driven Stochastic Lattice Gas Model with Many Conserved Quantities by Farfan, Jonathan, Simas, Alexandre B., Valentim, Fábio J.

    Published in Journal of statistical physics (01-05-2010)
    “…We prove the dynamical large deviations for a particle system in which particles may have different velocities. We assume that we have two infinite reservoirs…”
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  18. 18

    Adjusted Pearson residuals in exponential family nonlinear models by Simas, Alexandre B., Cordeiro, Gauss M.

    “…In this paper, we give matrix formulae of order (n −1 ), where n is the sample size, for the first two moments of Pearson residuals in exponential family…”
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  19. 19

    Second-order asymptotic expressions for the covariance matrix of maximum likelihood estimators in dispersion models by Rocha, Andréa V., Simas, Alexandre B., Cordeiro, Gauss M.

    Published in Statistics & probability letters (01-04-2010)
    “…For the first time, we give an asymptotic formula of order n − 2 , where n is the sample size, for the covariance matrix of the maximum likelihood estimators…”
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  20. 20

    Bootstrap-based improved estimators for the two-parameter Birnbaum-Saunders distribution by Lemonte, Artur J., Simas, Alexandre B., Cribari-Neto, Francisco

    “…In this paper, we consider the two-parameter Birnbaum-Saunders distribution proposed by Birnbaum and Saunders [Birnbaum, Z.W. and Saunders, S.C., 1969, A new…”
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