merge and update cv

cv.tex

@@ -159,13 +159,12 @@
 
 \begin{reflist}{WORKING PAPERS}
 
-\item Li, J., Ionides, E. L., King, A. A., Pascual, M. and Ning, N. (2024). Inference on spatiotemporal dynamics for networks of biological populations. {\it arxiv:2311.06702}.
+  \item  King, A. A., Lin, Q., and Ionides, E. L. (2024).  Exact phylodynamic likelihood via structured Markov genealogy processes.  {\it arxiv:2405.17032}.
+
 
 
 \item Asfaw, K., Park, J., King, A. A., and Ionides, E. L. (2024). A tutorial on spatiotemporal partially observed Markov process models via the R package spatPomp. {\it arxiv:2101.01157}.
 
-\item Ning, N. and Ionides, E. L. (2022). Systemic infinitesimal over-dispersion on general stochastic graphical models. {\it arxiv:2106.10387v2}.
-
 
 % \item  King, A. A., Lin, Q., and Ionides, E. L. (2020). The sampled Moran genealogy process. {\it arxiv:2002.11184}.
 
@@ -177,10 +176,12 @@
 
 \begin{reflist}{PEER-REVIEWED PUBLICATIONS}
 
-% \item[]{\small Underlined authors are those for whom a substantial amount of their work on this paper was carried out as a student, either graduate or postdoctoral.} 
-%Students whose PhD committee I chaired are identified by boldface.}
+\item Li, J., Ionides, E. L., King, A. A., Pascual, M. and Ning, N. (2024). Inference on spatiotemporal dynamics for coupled biological populations. To appear in {\it Journal of the Royal Society Interface}. {\it arxiv:2311.06702}.
+
+\item Ning, N. and Ionides, E. L. (2024). Systemic infinitesimal over-dispersion on general stochastic graphical models. To appear in {\it Statistics and Computing}. {\it arxiv:2106.10387v2}.
+
 \item Wheeler, J., Rosengart, A. L., Jiang, Z., Tan, K., Treutle, 
-N. and Ionides, E. L. (2024). Informing policy via dynamic models: Cholera in Haiti. To appear in {\it PLOS Computational Biology}. {\it arxiv:2301.08979}. 
+N. and Ionides, E. L. (2024). Informing policy via dynamic models: Cholera in Haiti. {\it PLOS Computational Biology} {\volume 20}{\separator}e1012032. {\it arxiv:2301.08979}. 
 
   \item Ning, N. and Ionides, E. L. (2023). Iterated block particle filter for high-dimensional parameter learning: Beating the curse of dimensionality. {\it Journal of Machine Learning Research} {\volume 24}{\separator}1--76.
 

pubs/index.html

@@ -3,6 +3,19 @@ <h2><a href="http://www.stat.lsa.umich.edu/~ionides/">Edward Ionides</a>: Public
 </h2> 
 <a href="https://scholar.google.com/citations?user=HNH5jqAAAAAJ&hl=en">Citation statistics from Google Scholar</a>.
 <dl>
+<dt>
+  <span style="font-variant: small-caps;"> King A. A., Lin, Q. and Ionides, E. L.</span> (2024).
+  Exact phylodynamic likelihood via structured Markov genealogy processes.
+<a href="https://arxiv.org/abs/2405.17032"><i>arxiv:2405.17032</i></a>.
+Article source code on <a href="https://github.com/kingaa/structured-genealogy-process-paper">GitHub</a>.
+Software on <a href="https://github.com/kingaa/phylopomp">GitHub</a>.
+<p>
+<dt>
+<span style="font-variant: small-caps;"> Ning, N. and Ionides, E. L. </span>(2024).
+Systemic infinitesimal over-dispersion on general stochastic graphical models.
+To appear in <i>Statistics and Computing</i>.
+<a href="https://arxiv.org/abs/2106.10387"><i>arxiv</i></a>. 
+<p>
   <dt>
 <span style="font-variant: small-caps;">Asfaw, K., Park, J., King, A. A., and Ionides, E. L. </span> (2024).
 A tutorial on spatiotemporal partially observed Markov process models via the R package spatPomp.
@@ -19,6 +32,7 @@ <h2><a href="http://www.stat.lsa.umich.edu/~ionides/">Edward Ionides</a>: Public
     <span style="font-variant: small-caps;">Wheeler, J., Rosengart, A. L., Jiang, Z., Tan, K., Treutle, 
       N. and Ionides, E. L. </span> (2024). Informing policy via dynamic models: Cholera in Haiti.
     <i>PLOS Computational Biology</i> <b>20</b> e1012032.
+<a href="https://doi.org/10.1371/journal.pcbi.1012032">doi</a>.
     <a href="https://arxiv.org/abs/2301.08979">arxiv</a>.
 Article source code on
 <a href="https://github.com/jeswheel/haiti_article">GitHub</a> and
@@ -61,11 +75,6 @@ <h2><a href="http://www.stat.lsa.umich.edu/~ionides/">Edward Ionides</a>: Public
 <a href="https://arxiv.org/abs/2110.10745v3"><i>arxiv</i></a>.
 <a href="https://kidusasfaw.github.io/spatPomp/vignettes/ibpf.pdf">Tutorial</a>.
 <p>  
-<dt>
-<span style="font-variant: small-caps;"> Ning, N. and Ionides, E. L. </span>(2022).
-Systemic infinitesimal over-dispersion on general stochastic graphical models.
-<a href="https://arxiv.org/abs/2106.10387"><i>arxiv:2106.10387v2</i></a>. 
-<p>
   <dt>
     <span style="font-variant: small-caps;">Ionides, E. L.,  Ning, N. and Wheeler, J. </span>(2022). An iterated block particle filter for inference on coupled dynamic systems with shared and unit-specific parameters.
     <i>Statistica Sinica</i>, prepublished online.