M. Andrade

发表

A new mixed‐effects regression model for the analysis of zero‐modified hierarchical count data

F. Louzada, Wesley Bertoli, K. S. Conceição, 2020, Biometrical journal. Biometrische Zeitschrift.

A Bayesian approach for some zero-modified Poisson mixture models

F. Louzada, Wesley Bertoli, K. S. Conceição, 2019, Statistical Modelling.

On Zero-Modified Poisson-Sujatha Distribution to Model Overdispersed Count Data

K. S. Conceição, M. Andrade, W. B. Silva, 2018 .

Zero-modified power series distribution and its Hurdle distribution version

F. Louzada, E. Helou, K. S. Conceição, 2017 .

Inference for the Richards growth model using Box and Cox transformation and bootstrap techniques

J. D. Val, M. Andrade, S. Loibel, 2006 .

A Generalized Species-Area Relationship for Estimating Species Diversity: The Poisson Distribution Case

K. S. Conceição, M. Andrade, C. Diniz, 2010 .

Transformed GARMA model with the inverse Gaussian distribution

M. Andrade, J. Leskow, B. S. Andrade, 2017 .

Bayesian Transformed GARMA Models

M. Andrade, R. Ehlers, B. S. Andrade, 2016, 1612.09561.

Transformed generalized linear models

G. Cordeiro, M. Andrade, 2009 .

A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC

K. S. Conceição, M. Andrade, A. Suzuki, 2020, Statistical Methods & Applications.

On the zero-modified Poisson–Shanker regression model and its application to fetal deaths notification data

F. Louzada, Wesley Bertoli, K. S. Conceição, 2018, Computational Statistics.

Comparison between the complete Bayesian method and empirical Bayesian method for ARCH models using Brazilian financial time series

M. Andrade, S. Oliveira, 2012 .

Seasonal Hydrological and Meteorological Time Series

Edilberto Cepeda Cuervo, J. Achcar, M. Andrade, 2018 .

A generalized species-area relationship: the Poisson distribution case

F. Louzada, K. S. Conceição, M. Andrade, 2014 .

On the zero-modified poisson model: Bayesian analysis and posterior divergence measure

Francisco Louzada, Katiane S. Conceição, Marinho G. Andrade, 2014, Comput. Stat..

Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics

Dipak K. Dey, Victor H. Lachos, Vicente G. Cancho, 2011, Comput. Stat. Data Anal..

On mean value solutions for the Helmholtz equation on square grids

J. D. Val, M. Andrade, 2002 .

A numerical scheme based on mean value solutions for the Helmholtz equation on triangular grids

João Bosco Ribeiro do Val, M. G. Andrade, J. D. Val, 1997, Math. Comput..

Characterizations and generalizations of the negative binomial distribution

N. Ravishanker, F. Louzada, K. S. Conceição, 2021, Computational Statistics.

A New Regression Model for the Analysis of Overdispersed and Zero-Modified Count Data

Francisco Louzada, Marinho G. Andrade, Katiane S. Conceição, 2021, Entropy.

On the zero-modified Poisson–Shanker regression model and its application to fetal deaths notification data

Francisco Louzada, Marinho G. Andrade, Katiane S. Conceição, 2018, Computational statistics (Zeitschrift).

INTERFAILURE DATA WITH CONSTANT HAZARD FUNCTION IN THE PRESENCE OF CHANGE-POINTS

Jorge Alberto Achcar, Marinho G. Andrade, Selene Loibel, 2007 .

Richards growth model and viability indicators for populations subject to interventions.

Selene Loibel, M. Andrade, S. Loibel, 2010, Anais da Academia Brasileira de Ciencias.

Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy

Marinho Gomes Andrade, Eder Angelo Milani, Carlos Alberto Ribeiro Diniz, 2017, Commun. Stat. Simul. Comput..

Stochastic Dynamic Programming for Long Term Hydrothermal Scheduling Considering Different Streamflow Models

S. Soares, M. Cicogna, T. G. Siqueira, 2006, 2006 International Conference on Probabilistic Methods Applied to Power Systems.

Biparametric zero-modified power series distributions: Bayesian analysis under a reference prior approach

F. Louzada, K. S. Conceição, M. Andrade, 2017 .

Time Series Regression Models for COVID-19 Deaths

N. Ravishanker, J. Achcar, K. S. Conceição, 2021, Journal of Data Science.

Zero‐modified Poisson model: Bayesian approach, influence diagnostics, and an application to a Brazilian leptospirosis notification data

Francisco Louzada, Katiane S Conceição, Marinho G Andrade, 2013, Biometrical journal. Biometrische Zeitschrift.

Separable Hausdorff measurable Radon spaces

J. D. Val, M. Fragoso, M. Andrade, 2005 .

Type I multivariate zero‐inflated COM–Poisson regression model

K. S. Conceição, M. Andrade, C. Diniz, 2021, Biometrical journal. Biometrische Zeitschrift.

A stochastic approach to the flood control problem

Marcelo D. Fragoso, Marinho G. Andrade, Adriano Alber de França Mendes Carneiro, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

Power series generalized nonlinear models

Gauss M. Cordeiro, Mário de Castro, Marinho Gomes Andrade, 2009, Comput. Stat. Data Anal..

The Influence of Network Properties on the Synchronization of Kuramoto Oscillators Quantified by a Bayesian Regression Analysis

F. Rodrigues, J. Achcar, M. Andrade, 2013 .

Bayesian modelling for multivariate lifetime data with a homogeneous Poisson process with a frailty term

F. Louzada-Neto, M. Andrade, Vera Lucia, 2004 .

A Bernoulli autoregressive moving average model applied to rainfall occurrence

Marcelo Hartmann, Marinho G. Andrade, Carlos Alberto Ribeiro Diniz, 2018, Commun. Stat. Simul. Comput..

Bayesian GARMA models for count data

M. Andrade, R. Ehlers, Breno Silveira de Andrade, 2015, 1509.08666.

Stochastic Dynamic Programming forLong TermHydrothermal Sche duling Considering Different Streamfiow Models

T. G. Siqueira, S. Soares, M. Andrade, 2006 .

Transformed GARMA model: Properties and simulations

Jacek Leskow, Breno Silveira de Andrade, Marinho G. Andrade, 2017, Commun. Stat. Simul. Comput..