deploy: fcb5369

Author: mitchelloharawild

articles.html

@@ -3318,7 +3318,26 @@ <h2>SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regressi
 <div class="description">
 <h2>SNSeg: An R Package for Time Series Segmentation via Self-Normalization</h2>
 <div class="dt-tags"></div>
-<p>T</p>
+<p>Time series segmentation aims to identify potential change-points in a
+sequence of temporally dependent data, so that the original sequence
+can be partitioned into several homogeneous subsequences. It is useful
+for modeling and predicting non-stationary time series and is widely
+applied in natural and social sciences. Existing segmentation methods
+primarily focus on only one type of parameter changes such as mean and
+variance, and they typically depend on smoothing parameters, which can
+be challenging to choose in practice. The self-normalization based
+change-point estimation framework SNCP by Zhao and others (2022),
+however, offers users more flexibility and convenience as it allows
+for change-point estimation of different types of parameters (e.g.
+mean, variance, quantile and autocovariance) in a unified fashion. In
+this paper, the R package SNSeg is introduced to implement SNCP for
+segmentation of univariate and multivariate time series. An extension
+of SNCP, named SNHD, is also designed and implemented for change-point
+estimation in the mean vector of high-dimensional time series. The
+estimated change-points as well as segmented time series are available
+with graphical tools. Detailed examples of SNSeg are given in
+simulations of multivariate autoregressive processes with
+change-points.</p>
 </div>
 </a>
 <a href="articles/RJ-2024-030/" class="post-preview">

articles.xml

@@ -649,7 +649,26 @@ package's performance and practicality.</description>
       <dc:creator>Feiyu Jiang</dc:creator>
       <dc:creator>Xiaofeng Shao</dc:creator>
       <link>https://journal.r-project.org/articles/RJ-2024-029</link>
-      <description>T</description>
+      <description>Time series segmentation aims to identify potential change-points in a
+sequence of temporally dependent data, so that the original sequence
+can be partitioned into several homogeneous subsequences. It is useful
+for modeling and predicting non-stationary time series and is widely
+applied in natural and social sciences. Existing segmentation methods
+primarily focus on only one type of parameter changes such as mean and
+variance, and they typically depend on smoothing parameters, which can
+be challenging to choose in practice. The self-normalization based
+change-point estimation framework SNCP by Zhao and others (2022),
+however, offers users more flexibility and convenience as it allows
+for change-point estimation of different types of parameters (e.g.
+mean, variance, quantile and autocovariance) in a unified fashion. In
+this paper, the R package SNSeg is introduced to implement SNCP for
+segmentation of univariate and multivariate time series. An extension
+of SNCP, named SNHD, is also designed and implemented for change-point
+estimation in the mean vector of high-dimensional time series. The
+estimated change-points as well as segmented time series are available
+with graphical tools. Detailed examples of SNSeg are given in
+simulations of multivariate autoregressive processes with
+change-points.</description>
       <guid>https://journal.r-project.org/articles/RJ-2024-029</guid>
       <pubDate>Tue, 20 May 2025 00:00:00 +0000</pubDate>
     </item>

articles/RJ-2024-029/RJ-2024-029.pdf

@@ -2,35 +2,35 @@
 % Copyright (C) 2010 by the R Foundation
 % Copyright (C) 2013 by the R Journal
 %
-% Originally written by Kurt Hornik and Friedrich Leisch with subsequent 
+% Originally written by Kurt Hornik and Friedrich Leisch with subsequent
 % edits by the editorial board
 %
 % CAUTION:
 % Do not modify this style file. Any changes to this file will be reset when your
 % article is submitted.
-% If you must modify the style or add LaTeX packages to the article, these 
+% If you must modify the style or add LaTeX packages to the article, these
 % should be specified in RJwrapper.tex
 
 \NeedsTeXFormat{LaTeX2e}[1995/12/01]
-\ProvidesPackage{RJournal}[2022/06/27 v0.14 RJournal package]
+\ProvidesPackage{RJournal}[2025/05/07 v0.15 RJournal package]
 
 \RequirePackage{tikz}
 
 % Overall page layout, fonts etc -----------------------------------------------
 
 % Issues of of \emph{The R Journal} are created from the standard \LaTeX{}
-% document class \pkg{report}. 
+% document class \pkg{report}.
 
 \RequirePackage{geometry}
-\geometry{a4paper, 
+\geometry{a4paper,
    textwidth=14cm, top=1cm, bottom=1cm,
    includehead,includefoot,centering,
    footskip=1.5cm}
 \raggedbottom
 
 \RequirePackage{fancyhdr}
 \fancyhead{}
-\fancyheadoffset{2cm} 
+\fancyheadoffset{2cm}
 \fancyhead[L]{\textsc{\RJ@sectionhead}}
 \fancyhead[R]{\thepage}
 \fancyfoot{}
@@ -39,7 +39,7 @@
 \pagestyle{fancy}
 
 % We use the following fonts (all with T1 encoding):
-% 
+%
 %   rm   & palatino
 %   tt   & inconsolata
 %   sf   & helvetica
@@ -97,9 +97,9 @@
 \renewcommand{\title}        [1]{\def\RJ@title{#1}}
 \newcommand  {\subtitle}     [1]{\def\RJ@subtitle{#1}}
 
-% Control appearance of titles: make slightly smaller than usual, and 
+% Control appearance of titles: make slightly smaller than usual, and
 % suppress section numbering. See http://tex.stackexchange.com/questions/69749
-% for why we don't use \setcounter{secnumdepth}{-1} 
+% for why we don't use \setcounter{secnumdepth}{-1}
 
 \usepackage[medium]{titlesec}
 \usepackage{titletoc}
@@ -109,7 +109,7 @@
 
 % Article layout ---------------------------------------------------------------
 
-% Environment |article| clears the article header information at its beginning. 
+% Environment |article| clears the article header information at its beginning.
 % We use |\FloatBarrier| from the placeins package to keep floats within
 % the article.
 \RequirePackage{placeins}
@@ -118,12 +118,8 @@
 % Refereed articles should have an abstract, so we redefine |\abstract| to
 % give the desired style
 
-\renewcommand{\abstract}[1]{%
-\setstretch{1}%
-\noindent%
-\small%
-\textbf{Abstract} #1 
-}
+\renewcommand{\abstract}[1]{\noindent\textbf{Abstract} #1}
+\renewenvironment{abstract}{\noindent\textbf{Abstract}~}{}
 
 % The real work is done by a redefined version of |\maketitle|.  Note
 % that even though we do not want chapters (articles) numbered, we
@@ -173,14 +169,14 @@
 }
 
 % We want bibliographies as starred sections within articles.
-% 
+%
 \RequirePackage[sectionbib,round]{natbib}
 \bibliographystyle{abbrvnat}
 \renewcommand{\bibsection}{\section*{References}}
 
 % Equations, figures and tables are counted within articles, but we do
 % not show the article number. For equations it becomes a bit messy to avoid
-% having hyperref getting it wrong. 
+% having hyperref getting it wrong.
 
 % \numberwithin{equation}{chapter}
 \renewcommand{\theequation}{\@arabic\c@equation}
@@ -210,7 +206,7 @@
     \fontsize{50pt}{50pt}\selectfont
     The \raisebox{-8pt}{\includegraphics[height=77pt]{Rlogo-5}}\hspace{10pt}
     Journal
-  
+
   \end{center}
   {\large \hfill Volume \RJ@volume/\RJ@number, \RJ@month{} \RJ@year \quad}