
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, IMECCUNICAMP.
Rua Sergio Buarque de Holanda, 651
Cidade Universitaria Barão Geraldo
CEP: 13083859 Campinas, SP, Brasil
email: 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 asymmetricelliptical distributions, Linear/nonlinear mixed effects models
Stochastic volatility models, finite mixture of distributions and Inflated models. He won the 2008 IASI (INTERAMERICAN 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 ConnecticutUSA. Curriculum Vitae .
Member of the Brazilian Statistical
Association  ABE
Member of the American Statistical
Association  ASA
BIRTH : April 28, 1973. Lambayeque, PERU.
EDUCATION
 Postdoctoral Research in Biostatistics at University of Connecticcut (UCONN), CTUSA, 20092010 with Prof. Dr. Dipak Dey
 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. ArellanoValle
 Master Degree in Statistics at Institute of Mathematics, Statistics and Computer Science,
University of Campinas. IMEUNICAMP. SPBrazil  Feb, 2002.
Advisor: Prof. Dr. Filidor Vilca Labra.
 Bachelor's Degree in Statistics and Computer Science at the
Department of Statistics, Universidad
Nacional Agraria La Molina. DEIUNALM . LimaPeru;  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 Studentt distribution. Journal of Multivariate Analysis, 159, 151167.
Galvis*, D. M., Bandyopadhyay, D and Lachos, V. H. (2017).
Augmented mixed models for clustered proportion data. Statistical Methods in Medical Research, 26, 880897.
Garay*, A. W, Castro, L.M., Leskow, L. and Lachos, V. H. (2017)
Censored Linear Regression Models for Irregularly Observed
Longitudinal Data using the Multivariatet Distribution . Statistical Methods in Medical Research, 26, 542566.
Matos*, L. A, Lachos, V. H.and Castro, L.M. (2016)
Censored mixedeffects models for irregularly observed repeated measures with applications to HIV viral loads . TEST, 25, 627653
Zeller*, C. B, Lachos, V. H.and Cabral, C.R. (2016)
Robust Mixture Regression Modelling based on Scale Mixtures of SkewNormal Distributions . TEST, 25, 375396.
Matos*, L. A., Bandyopadhyay, D, Castro, L. M. and Lachos, V. H. (2015).
Influence Diagnostics in MixedEffects Models with Censored Data Using the Multivariatet Distribution. Journal of Multivariate Analysis, 141, 104117.
Garay*, A. W, Lachos, V. H.and Lin, TsungI (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).
LikelihoodBased Inference for Tobit Confirmatory Factor Analysis Using the Multivariate tDistribution. Statistics and Computing, 25, 11631183.
Bandyopadhyay, D. Castro, L.M., Lachos, V. H. and Pinheiro, H. P. (2015)
Robust Joint Nonlinear MixedEffects Models and Diagnostics for Censored HIV Viral Loads with CD4 Measurement Error. Journal of Agricultural, Biological, and Environmental Statistics, 20, 121139.
Motta, M. R., Galvis*, D. M., Lachos, V. H, and others (2015).
A mixedeffect model for positive responses augmented by zeros. Statistics in Medicine, 20, 17611778.
Galvis*, D. M, Bandyopadhyay, D. and Lachos, V. H. (2014)
Augmented mixed beta regression models for periodontal proportion data. . Statistics in Medicine, 33, 37593771.
Costa*, D. R, Lachos, V. H. and Prates, M.O. (2014)
Generalized Linear Mixed Models for Correlated Binary Data with Tlink . Statistics and Computing, 24,11111123.
Prates, M. O., Cabral, M. O, and Lachos, V.H.(2013)
Fitting finite mixture of scale mixture of skewnormal distributions .
Journal of Statistical Software, 54, 120.
Matos*, L. A., Lachos, V. H., Balakrishnan, N. and VilcaLabra, F. (2013)
Influence Diagnostics in Linear and Nonlinear MixedEffects Models with Censored Data .
Computational Statistics and Data Analysis, 57, 450464.
Matos*, L. A., Prates*, M. O., Chen, MH. and Lachos, V. H. (2013).
Likelihood Based Inference for Linear and Nonlinear
MixedEffects Models with Censored Response Using the Multivariatet Distribution . Statistica Sinica, 23, 12991322.
Lachos, V.H., Bandyopadhyay D. and Dey D. K. (2011)
Linear and nonlinear mixedeffects models for censored HIV viral loads using normal/independent distributions.
Biometrics, 55, 13041318.
Lachos, V. H., Ghosh, P. and ArellanoValle R. B. (2010).
Likelihood Based Inference for SkewNormal/Independent
Linear Mixed Model. Statistica Sinica, 20, 303322.
Bandyopadhyay, D, Lachos, V. H. AbantoValle, C. A. (2010).
Bayesian inference for bivariate skewnormal/independent linear mixed models
with application to periodontal disease. Statistics in Medicine, 29, 26432655.
ArellanoValle, R.B., Bolfarine, H. and Lachos, V.H. (2005).
SkewNormal Linear Mixed Models. Journal of Data Science, 4, 415438.
Here is a list of all my publications
Curriculum Vitae (Plataforma Lattes)
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