### Hyndsight

*Thoughts on research, forecasting, statistics, and other distractions.*

#### Topics covered

acems
anomalies
beamer
computing
conferences
consulting
data-science
demography
econometrics
energy
epidemiology
evidence
forecasting
fpp
genealogy
grants
graphics
hts
humour
ijf
isf2017
jobs
journals
jss
kaggle
latex
mathematics
maxima
monash-university
obituary
organization
otexts
phd
podcast
poetry
politics
prizes
productivity
progress
publishing
r
refereeing
references
religion
reproducible-research
research
research-team
ropensci
seasonality
seminars
stackexchange
statistics
supervision
tables
teaching
technology
tidyverts
time-series
trend
video
welfare
writing
ysc2013

# All Hyndsight posts by date

## Co-authorships for sale

This is an interesting development! How many papers are published by bogus authors, and what is the going price for a coauthorship? Needless to say, this is appalling and contrary to every academic integrity policy I’ve seen. See the Monash authorship policy for example. Dear Hyndman, Rob J. Hope you are doing well. I write this letter on behalf of authors seeking to co-publish. We have seen your previous works (https://www.## Contraceptive forecasting competition

Here’s an interesting new forecasting competition that came via my inbox this week. Contraceptive access is vital to safe motherhood, healthy families, and prosperous communities. Greater access to contraceptives enables couples and individuals to determine whether, when, and how often to have children. In low- and middle-income countries (LMIC) around the world, health systems are often unable to accurately predict the quantity of contraceptives necessary for each health service delivery site, in part due to insufficient data, limited staff capacity, and inadequate systems.## Terminology matters

I was reminded again this week that getting the right terminology is important. Some of my colleagues who work in machine learning wrote a paper entitled “Time series regression” which began with “This paper introduces Time Series Regression (TSR): a little-studied task …”. Statisticians and econometricians have done time series regression for many decades, so this beginning led to the paper being lampooned on Twitter. The problem arose due to clashes in terminology being used in different fields.## Seasonal mortality rates

The weekly mortality data recently published by the Human Mortality Database can be used to explore seasonality in mortality rates. Mortality rates are known to be seasonal due to temperatures and other weather-related effects (Healy 2003).