189 citations · 888 across the 107 of their papers we have counts for
11 papers · 1 filter
Flexible Bivariate INGARCH Process With a Broad Range of Contemporaneous Correlation
Luiza S. C. Piancastelli, Wagner Barreto-Souza, Hernando Ombao
We propose a novel flexible bivariate conditional Poisson (BCP) INteger-valued Generalized AutoRegressive Conditional Heteroscedastic (INGARCH) model for correlated count time seri…
Structural Brain Asymmetries in Youths with Combined and Inattentive Presentations of Attention Deficit Hyperactivity Disorder
Cintya Nirvana Dutta, Pamela K. Douglas, Hernando Ombao
Alterations in structural brain laterality are reported in attention-deficit/hyperactivity disorder (ADHD). However, few studies examined differences within presentations of ADHD.…
Levels and trends in the sex ratio at birth in seven provinces of Nepal between 1980 and 2016 with probabilistic projections to 2050: a Bayesian modeling approach
Fengqing Chao, Samir KC, Hernando Ombao
The sex ratio at birth (SRB; ratio of male to female births) in Nepal has been reported without imbalance on the national level. However, the national SRB could mask the disparity…
Clustering Brain Signals: A Robust Approach Using Functional Data Ranking
Tianbo Chen, Ying Sun, Carolina Euan +1
In this paper, we analyze electroencephalograms (EEG) which are recordings of brain electrical activity. We develop new clustering methods for identifying synchronized brain region…
Break Point Detection for Functional Covariance
Shuhao Jiao, Ron D. Frostig, Hernando Ombao
Many experiments record sequential trajectories where each trajectory consists of oscillations and fluctuations around zero. Such trajectories can be viewed as zero-mean functional…
Multiscale modelling of replicated nonstationary time series
Jonathan Embleton, Marina I. Knight, Hernando Ombao
Within the neurosciences, to observe variability across time in the dynamics of an underlying brain process is neither new nor unexpected. Wavelets are essential in analyzing brain…
Semiparametric time series models driven by latent factor
Gisele O. Maia, Wagner Barreto-Souza, Fernando S. Bastos +1
We introduce a class of semiparametric time series models by assuming a quasi-likelihood approach driven by a latent factor process. More specifically, given the latent process, we…
Integer-valued autoregressive process with flexible marginal and innovation distributions
Matheus B. Guerrero, Wagner Barreto-Souza, Hernando Ombao
INteger Auto-Regressive (INAR) processes are usually defined by specifying the innovations and the operator, which often leads to difficulties in deriving marginal properties of th…
Probabilistic Projection of the Sex Ratio at Birth and Missing Female Births by State and Union Territory in India
Fengqing Chao, Christophe Z. Guilmoto, Samir K. C. +1
The sex ratio at birth (SRB) in India has been reported imbalanced since the 1970s. Previous studies have shown a great variation in the SRB across geographic locations in India ti…
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach
Chee-Ming Ting, S. Balqis Samdin, Meini Tang +1
We present a unified statistical framework for characterizing community structure of brain functional networks that captures variation across individuals and evolution over time. E…
Variation Pattern Classification of Functional Data
Shuhao Jiao, Ron D. Frostig, Hernando Ombao
A new classification method for functional data is proposed in this paper. This work is motivated by the need to identify features that discriminate between neurological conditions…