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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<!-- Faculty Page -->
<title>Edward Ionides Homepage</title>
<meta http-equiv="Content-Type"
content="text/html; charset=iso-8859-1">
<meta name="uckwd" content="edward ionides, statistics">
<meta name="Keywords" content="edward ionides, statistics">
<link rel="STYLESHEET" href="/css/main-underline.css" media="screen"
type="text/css">
</head>
<body bgcolor="#ffffef" link="#0b0267" alink="#0b0267" vlink="#0b0267">
<div align="center">
<table width="650" cellspacing="0" cellpadding="0" border="0">
<tbody>
<!-- <tr>
<td><a href="https://www.stat.lsa.umich.edu"><img
src="dept-header.gif" border="0" alt="Statistics Department">
</a></td>
</tr>
<tr>
<td> </td>
</tr>
-->
<tr>
<td>
<!-- </table> -->
<table width="546" border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="190" valign="top" class="text"><a name="top"></a>
<img src="https://ionides.github.io/eli-photo.jpg" alt="Edward Ionides" width="140"
height="180" border="0" vspace="3" hspace="5" align="left">
<br>
<br>
</td>
<td width="355" valign="top"> <!-- Faculty Name goes here -->
<big><big><b> Edward Ionides</b></big></big><br>
<big>Professor of Statistics<br></big>
The University of Michigan<br>
1085 South University Ave<br>
Ann Arbor, MI 48109-1107<br>
Phone: 734.615.3332<br>
E-mail: <a href="mailto:ionides@umich.edu">ionides@umich.edu</a><br>
Office: 453 West Hall<br>
</td>
</tr>
</tbody>
</table>
<br>
<a href="https://ionides.github.io/cv.pdf">Curriculum vitae</a>.
<a href="https://ionides.github.io/pubs/index.html">Publications</a>;
<a href="https://ionides.github.io/students/index.html">Student research</a>. <br><br>
<big><b>Research:</b></big>
Time series analysis with applications including ecology, epidemiology and health economics. Methodological work on inference for partially observed stochastic dynamic systems. <a href="https://ionides.github.io/talks/index.html">Slides for some talks</a>.
<br>
<br>
<big><b>Teaching: </b></big>
<a href="https://ionides.github.io/401f18"> STATS 401: Applied Statistical Methods II</a>.
<a href="https://ionides.github.io/425"> MATH/STATS 425: Introduction to Probability</a>.
<a href="https://ionides.github.io/531w25/">STATS/DATASCI 531: Analysis of Time Series</a>.
<a href="https://ionides.github.io/531w25/631">STATS/DATASCI 631: Modeling and Analysis of Time Series Data</a>.
<a href="https://ionides.github.io/620/"> STATS 620: Applied Probability and Stochastic Modeling</a>.
<a href="https://ionides.github.io/700f25/">STATS 700: Topics in Applied Statistics: Phylodynamic Inference</a>.
<a href="https://ionides.github.io/810f25"> STATS 810: Literature Proseminar</a>.
<br><br>
<big><b>Software:</b></big>
<a href="https://kingaa.github.io/pomp/">The pomp R package</a>.
<a href="https://panelPomp-org.github.io/">The panelPomp R package</a>.
<a href="https://spatPomp-org.github.io/pomp/">The spatPomp R package</a>.
<a href="https://pypomp.github.io/">The pypomp Python package</a>.
<br><br>
<big><b>Selected publications:</b></big>
<dl>
<dt>
<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>.
<a href="https://github.com/jeswheel/haiti_article">github</a>.
<p>
<dt>
<span style="font-variant: small-caps;"> Ionides, E. L., Asfaw, K., Park, J., and King, A. A. </span> (2023).
Bagged filters for partially observed interacting systems.
<i> Journal of the American Statistical Association</i> <b>118</b> 1078-1089.
<a href="https://doi.org/10.1080/01621459.2021.1974867">doi</a>.
<a href="https://arxiv.org/abs/2002.05211"><i>arxiv</i></a>.
<a href="https://github.com/ionides/bagged_filters">github</a>.
<p>
<dt>
<span style="font-variant: small-caps;"> Ning, N. and Ionides, E. L. </span>(2023).
Iterated block particle filter for high-dimensional parameter learning: Beating the curse of dimensionality.
<i>Journal of Machine Learning Research</i> <b>24</b>(82) 1-76.
<a href="https://www.jmlr.org/papers/volume24/21-1253/21-1253.pdf">pdf</a>.
<a href="https://arxiv.org/abs/2110.10745v3"><i>arxiv</i></a>.
<a href="https://github.com/ionides/ibpf-tutorial">github</a>.
<p>
<dt>
<span style="font-variant: small-caps;"> Breto, C., Ionides, E. L., and King, A. A. </span> (2019).
Panel data analysis via mechanistic models.
<i>Journal of the American Statistical Association</i> <b>115</b> 1178-1188.
<a href="https://doi.org/10.1080/01621459.2019.1604367">doi</a>.
<a href="https://arxiv.org/abs/1801.05695"><i>arxiv</i></a>.
<a href="https://github.com/cbreto/panelPomp">github</a>.
<p>
<dt>
<span style="font-variant: small-caps;">
Ionides, E. L., Nguyen, D., Atchade, Y., Stoev, S. and King, A. A.
</span>
(2015). Inference for dynamic and latent variable models via iterated, perturbed Bayes maps. <i>Proceedings of the National Academy of Sciences of the USA</i> <b>112</b> 719-724. <a href="https://dx.doi.org/10.1073/pnas.1410597112">doi</a>. <a href="https://ionides.github.io/pubs/ionides15-pnas.pdf">pdf</a>.
<p>
<dt>
<span style="font-variant: small-caps;">Ionides, E. L, Bhadra, A., Atchade, Y. and King, A. A.</span> (2011). Iterated filtering. <i>Annals of Statistics</i> <b>39</b> 1776-1802.
<a href="https://dx.doi.org/10.1214/11-AOS886">doi</a>.
<a href="https://ionides.github.io/pubs/ionides11-aos.pdf">pdf</a>.
<a href="https://arxiv.org/abs/0902.0347">arxiv</a>.
<p>
<dt>
<span style="font-variant: small-caps;">Breto, C., He, D., Ionides, E. L. and King, A. A.</span> (2009).
Time series analysis via mechanistic models.
<i>Annals of Applied Statistics</i> <b>3</b> 319-348.
<a href="https://dx.doi.org/10.1214/08-AOAS201">doi</a>.
<a href="https://ionides.github.io/pubs/breto09.pdf">pdf</a>.
<a href="https://arxiv.org/abs/0802.0021">arxiv</a>.
<p>
<dt>
<span style="font-variant: small-caps;">King, A. A., Ionides, E. L., Pascual, M. and Bouma, M. J.</span> (2008).
Inapparent infections and cholera dynamics. <i>Nature</i> <b>454</b> 877-880.
<a href="https://dx.doi.org/10.1038/nature07084">doi</a>.<p>
<dt>
<span style="font-variant: small-caps;">Ionides, E. L., Breto, C. and King, A. A.</span> (2006).
Inference for nonlinear dynamical systems.
<i>Proceedings of the National Academy of Sciences</i> <b>103</b> 18438-18443.
<a href="https://dx.doi.org/10.1073/pnas.0603181103">doi</a>.
<a href="https://www.pnas.org/cgi/content/full/0603181103/DC1"> Supporting online material</a>.
<a href="https://ionides.github.io/pubs/ionides06-pnas.pdf">pdf</a>.
<a href="https://ionides.github.io/pubs/ionides06-sup.pdf">supporting text</a>.
<p>
</dl>
</body>
</html>