Trent Henderson
@trentlikesstats.bsky.social
Accredited Statistician | Final year statistics PhD student working on time series | Open-source software developer | #BiInSci 🏳️🌈
https://hendersontrent.github.io
https://hendersontrent.github.io
Pinned
Feature-Based Time-Series Analysis in R using the Theft Ecosystem
Time series are measured and analyzed across the sciences. One method of quantifying the structure of time series is by calculating a set of summary statistics or 'features', and then representing a t...
journal.r-project.org
I am excited to say that my article 'Feature-Based Time-Series Analysis in R using the Theft Ecosystem' has just been published in The R Journal!
I have worked on the {theft} and {theftdlc} packages for years. It feels amazing to finally have this published!
journal.r-project.org/articles/RJ-...
I have worked on the {theft} and {theftdlc} packages for years. It feels amazing to finally have this published!
journal.r-project.org/articles/RJ-...
I am excited to say that my article 'Feature-Based Time-Series Analysis in R using the Theft Ecosystem' has just been published in The R Journal!
I have worked on the {theft} and {theftdlc} packages for years. It feels amazing to finally have this published!
journal.r-project.org/articles/RJ-...
I have worked on the {theft} and {theftdlc} packages for years. It feels amazing to finally have this published!
journal.r-project.org/articles/RJ-...
Feature-Based Time-Series Analysis in R using the Theft Ecosystem
Time series are measured and analyzed across the sciences. One method of quantifying the structure of time series is by calculating a set of summary statistics or 'features', and then representing a t...
journal.r-project.org
December 3, 2025 at 4:47 AM
I am excited to say that my article 'Feature-Based Time-Series Analysis in R using the Theft Ecosystem' has just been published in The R Journal!
I have worked on the {theft} and {theftdlc} packages for years. It feels amazing to finally have this published!
journal.r-project.org/articles/RJ-...
I have worked on the {theft} and {theftdlc} packages for years. It feels amazing to finally have this published!
journal.r-project.org/articles/RJ-...
Reposted by Trent Henderson
New preprint! (by Kieran Owens)
Of interest to anyone who analyzes time-series data!:
"Time-series dimension reduction: a comprehensive review and conceptual unification of algorithms"
www.techrxiv.org/users/999518...
#timeseries #dimensionreduction #complexsystems
Of interest to anyone who analyzes time-series data!:
"Time-series dimension reduction: a comprehensive review and conceptual unification of algorithms"
www.techrxiv.org/users/999518...
#timeseries #dimensionreduction #complexsystems
Time-series dimension reduction: a comprehensive review and conceptual unification of algorithms
High-dimensional multivariate time-series data are analyzed in fields such as neuroscience, climatology, and finance. Time-series dimension-reduction (TSDR) methods are important for extracting inform...
www.techrxiv.org
November 26, 2025 at 4:13 AM
New preprint! (by Kieran Owens)
Of interest to anyone who analyzes time-series data!:
"Time-series dimension reduction: a comprehensive review and conceptual unification of algorithms"
www.techrxiv.org/users/999518...
#timeseries #dimensionreduction #complexsystems
Of interest to anyone who analyzes time-series data!:
"Time-series dimension reduction: a comprehensive review and conceptual unification of algorithms"
www.techrxiv.org/users/999518...
#timeseries #dimensionreduction #complexsystems
Reposted by Trent Henderson
New preprint: "Identifying statistical indicators of temporal asymmetry using a data-driven approach"
arxiv.org/abs/2511.15991
_Can we statistically distinguish the forward- versus reverse-time dynamics of a system from a finite time series?_
arxiv.org/abs/2511.15991
_Can we statistically distinguish the forward- versus reverse-time dynamics of a system from a finite time series?_
November 21, 2025 at 3:26 AM
New preprint: "Identifying statistical indicators of temporal asymmetry using a data-driven approach"
arxiv.org/abs/2511.15991
_Can we statistically distinguish the forward- versus reverse-time dynamics of a system from a finite time series?_
arxiv.org/abs/2511.15991
_Can we statistically distinguish the forward- versus reverse-time dynamics of a system from a finite time series?_