V.H. Lachos's Personal Page

[Starting Fall 2017, I moved to the Department of Statistics at University of Connecticut. Hence, I no longer maintain this page]


Ph.D. in Statistical Science

Department of Statistics
Institute of Mathematics, Statistics and Computer Science, IMECC-UNICAMP.
Rua Sergio Buarque de Holanda, 651 Cidade Universitaria- Barão Geraldo
CEP: 13083-859 Campinas, SP, Brasil

e-mail: hlachos at ime.unicamp.br

Victor H. Lachos has completed his PhD's program in Octuber 2004 under the guidance of Professor Heleno Bolfarine in the Departmental of Statistics of São Paulo University (USP). He completed also his Master's program at State University of Campinas (UNICAMP) in 2002 under the guidance of Professor Filidor Vilca. Worked for two year in Bayes Forecast - Brasil which offer services in areas as Business Intelligence and Forecast Process. His Statistical interests areas are asymmetric-elliptical distributions, Linear/nonlinear mixed effects models Stochastic volatility models, finite mixture of distributions and Inflated models. He won the 2008 IASI (INTER-AMERICAN STATISTICAL INSTITUTE) Award for excellence. In 2012, was distinguished with the "ZEFERINO VAZ AWARD" from UNICAMP. In 2016, he received the title DOUTOR HONORIS CAUSA from the National University "Pedro Ruiz Gallo" Peru. He is also a visiting professor at the University of Connecticut-USA. Curriculum Vitae .

Member of the Brazilian Statistical Association - ABE

Member of the American Statistical Association - ASA

BIRTH : April 28, 1973. Lambayeque, PERU.


EDUCATION
  1. Postdoctoral Research in Biostatistics at University of Connecticcut (UCONN), CT-USA, 2009-2010 with Prof. Dr. Dipak Dey
  2. Ph.D. Degree in Statistical Science at Institute of Mathematics and Statistics, University of São Paulo, SP- Brazil- Oct, 2004.
    Advisors: Prof. Dr. Heleno Bolfarine and Reinaldo B. Arellano-Valle
  3. Master Degree in Statistics at Institute of Mathematics, Statistics and Computer Science, University of Campinas. IME-UNICAMP. SP-Brazil - Feb, 2002.
    Advisor: Prof. Dr. Filidor Vilca Labra.
  4. Bachelor's Degree in Statistics and Computer Science at the Department of Statistics, Universidad Nacional Agraria La Molina. DEI-UNALM . Lima-Peru; - 1999.

REPRESENTATIVE PUBLICATIONS

  • Lachos, V. H., Moreno*, E. L., Kun, C. and Cabral, C.R. (2017). Finite mixture modeling of censored data using the multivariate Student-t distribution. Journal of Multivariate Analysis, 159, 151-167.

  • Galvis*, D. M., Bandyopadhyay, D and Lachos, V. H. (2017). Augmented mixed models for clustered proportion data. Statistical Methods in Medical Research, 26, 880-897.

  • Garay*, A. W, Castro, L.M., Leskow, L. and Lachos, V. H. (2017) Censored Linear Regression Models for Irregularly Observed Longitudinal Data using the Multivariate-t Distribution . Statistical Methods in Medical Research, 26, 542-566.

  • Matos*, L. A, Lachos, V. H.and Castro, L.M. (2016) Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads . TEST, 25, 627-653

  • Zeller*, C. B, Lachos, V. H.and Cabral, C.R. (2016) Robust Mixture Regression Modelling based on Scale Mixtures of Skew-Normal Distributions . TEST, 25, 375-396.

  • Matos*, L. A., Bandyopadhyay, D, Castro, L. M. and Lachos, V. H. (2015). Influence Diagnostics in Mixed-Effects Models with Censored Data Using the Multivariate-t Distribution. Journal of Multivariate Analysis, 141, 104-117.

  • Garay*, A. W, Lachos, V. H.and Lin, Tsung-I (2015) Nonlinear Censored Regression models with Scale Mixtures of Normal Distributions . Statistics and its Interface, 9, 281 - 293.

  • Costa*, D. R., Castro, L. M., Prates, M. and Lachos, V. H. (2015). Likelihood-Based Inference for Tobit Confirmatory Factor Analysis Using the Multivariate t-Distribution. Statistics and Computing, 25, 1163-1183.

  • Bandyopadhyay, D. Castro, L.M., Lachos, V. H. and Pinheiro, H. P. (2015) Robust Joint Non-linear Mixed-Effects Models and Diagnostics for Censored HIV Viral Loads with CD4 Measurement Error. Journal of Agricultural, Biological, and Environmental Statistics, 20, 121-139.

  • Motta, M. R., Galvis*, D. M., Lachos, V. H, and others (2015). A mixed-effect model for positive responses augmented by zeros. Statistics in Medicine, 20, 1761-1778.

  • Galvis*, D. M, Bandyopadhyay, D. and Lachos, V. H. (2014) Augmented mixed beta regression models for periodontal proportion data. . Statistics in Medicine, 33, 3759-3771.

  • Costa*, D. R, Lachos, V. H. and Prates, M.O. (2014) Generalized Linear Mixed Models for Correlated Binary Data with T-link . Statistics and Computing, 24,1111-1123.

  • Prates, M. O., Cabral, M. O, and Lachos, V.H.(2013) Fitting finite mixture of scale mixture of skew-normal distributions . Journal of Statistical Software, 54, 1-20.

  • Matos*, L. A., Lachos, V. H., Balakrishnan, N. and Vilca-Labra, F. (2013) Influence Diagnostics in Linear and Nonlinear Mixed-Effects Models with Censored Data . Computational Statistics and Data Analysis, 57, 450-464.

  • Matos*, L. A., Prates*, M. O., Chen, M-H. and Lachos, V. H. (2013). Likelihood Based Inference for Linear and Nonlinear Mixed-Effects Models with Censored Response Using the Multivariate-t Distribution . Statistica Sinica, 23, 1299-1322.

  • Lachos, V.H., Bandyopadhyay D. and Dey D. K. (2011) Linear and non-linear mixed-effects models for censored HIV viral loads using normal/independent distributions. Biometrics, 55, 1304-1318.

  • Lachos, V. H., Ghosh, P. and Arellano-Valle R. B. (2010). Likelihood Based Inference for Skew-Normal/Independent Linear Mixed Model. Statistica Sinica, 20, 303-322.

  • Bandyopadhyay, D, Lachos, V. H. Abanto-Valle, C. A. (2010). Bayesian inference for bivariate skew-normal/independent linear mixed models with application to periodontal disease. Statistics in Medicine, 29, 2643–2655.

  • Arellano-Valle, R.B., Bolfarine, H. and Lachos, V.H. (2005). Skew-Normal Linear Mixed Models. Journal of Data Science, 4, 415-438.

    Here is a list of all my publications

    Curriculum Vitae (Plataforma Lattes)



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