An exploratory time series analysis of total deaths per month in Brazil since 2015

by   Alexandre Barbosa de Lima, et al.

In this article, we investigate the historical series of the total number of deaths per month in Brazil since 2015 using time series analysis techniques, in order to assess whether the COVID-19 pandemic caused any change in the series' generating mechanism. The results obtained so far indicate that there was no statistical significant impact.



page 1

page 2

page 3

page 4


A time series method to analyze incidence pattern and estimate reproduction number of COVID-19

The ongoing pandemic of Coronavirus disease (COVID-19) emerged in Wuhan,...

Time series classification based on fractal properties

The article considers classification task of fractal time series by the ...

Prediction of adverse events in Afghanistan: regression analysis of time series data grouped not by geographic dependencies

The aim of this study was to approach a difficult regression task on hig...

Historical Inertia: An Ignored but Powerful Baseline for Long Sequence Time-series Forecasting

Long sequence time-series forecasting (LSTF) has become increasingly pop...

A Rolling Optimized Nonlinear Grey Bernoulli Model RONGBM(1,1) and application in predicting total COVID-19 infected cases

The Nonlinear Grey Bernoulli Model NGBM(1, 1) is a recently developed gr...

COVID-19 and the gig economy in Poland

We use a dataset covering nearly the entire target population based on p...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.