[ABE-L] Ciclo de Seminários PPGE - UFPE

Maria do Carmo Soares de Lima maria em de.ufpe.br
Qui Abr 6 14:12:04 -03 2023


Boa tarde a todos(as),

Esta mensagem é para divulgar mais uma palestra do Ciclo de Seminários
do PPGE/UFPE
(2023), a ser realizada excepcionalmente hoje, 06/04 pelo Google Meet às
15:00 horas. Sobre o palestrante: Michel Montoril
He is an Assistant Professor at the Department of Statistics of the Federal
University of São Carlos, Brazil (since 2019). Prior to that, he was an
Assistant Professor at the Department of Statistics of the Federal
University of Juiz de Fora, Brazil (2015 -- 2019). He has a PhD in
Statistics from the University of São Paulo (2013). He is interested in
curve estimation, in particular under a non-parametric approach using
wavelet bases.

Sobre a palestra:
Link da videochamada: https://meet.google.com/rnv-osfm-fgk
Ou disque: ‪(US) +1 252-574-6274‬ PIN: ‪134 182 154‬#

*Título:*
Wavelet-based estimation of power densities of size-biased data

*Resumo:*
We propose a new wavelet-based method for density estimation when the data
are size-biased. More specifically, we consider a power of the density of
interest, where this power exceeds 1/2. Warped wavelet bases are employed,
where warping is attained by some continuous cumulative distribution
function. This can be seen as a general framework in which the conventional
orthonormal wavelet estimation is the case where warping distribution is
the standard uniform c.d.f. We show that both linear and nonlinear wavelet
estimators are consistent. Monte Carlo simulations are performed to compare
four special settings which are easy to interpret in practice.  An
application with a real dataset on fatal traffic accidents involving
alcohol illustrates the method. We observe that warped bases provide more
flexible and superior estimates for both simulated and real data. Moreover,
we find that estimating the power of a density (for instance, its square
root) further improves the results

Favor divulgar entre possíveis interessados.
Att,

-- 
Maria do Carmo Soares de Lima
Professora Adjunta C- UFPE
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