{"id":5,"date":"2011-08-19T23:13:40","date_gmt":"2011-08-19T23:13:40","guid":{"rendered":"http:\/\/sites.williams.edu\/rdeveaux\/?page_id=5"},"modified":"2012-08-11T21:45:38","modified_gmt":"2012-08-11T21:45:38","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.williams.edu\/rdeveaux\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<p>Publications (under construction)<\/p>\n<p><a href=\"http:\/\/sites.williams.edu\/rdeveaux\/files\/2011\/08\/Stat-Sci.gif\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-175\" src=\"https:\/\/sites.williams.edu\/rdeveaux\/files\/2011\/08\/Stat-Sci.gif\" alt=\"\" width=\"111\" height=\"150\" \/><\/a><\/p>\n<p><span style=\"font-size: medium;\"><a href=\"http:\/\/sites.williams.edu\/rdeveaux\/publications\/attachment\/how-to-lie-with-bad-data\/\" rel=\"attachment wp-att-177\">How to lie with bad data.<\/a> with David Hand, <cite>Statistical Science<\/cite><\/span><span style=\"font-size: medium;\">, Vol. 20, No. 3 (Aug., 2005), pp. 231-238.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-185\" style=\"color: #333333; font-style: normal; line-height: 24px;\" title=\"\" src=\"https:\/\/sites.williams.edu\/rdeveaux\/files\/2011\/08\/environmetrics.gif\" alt=\"\" width=\"100\" height=\"133\" \/><\/p>\n<div>Hybrid Neural networks for environmental Process Control. with Lyle Ungar and Rod Bain, The 1998\u00a0J.S.\u00a0Hunter Lecture,\u00a0<em>Environmetrics<\/em><span style=\"font-size: medium; line-height: 26px;\">, Vol 10, issue 3, (1995),\u00a0pp. 225-236.<\/span><\/div>\n<div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-188\" title=\"Neur2\" src=\"https:\/\/sites.williams.edu\/rdeveaux\/files\/2011\/08\/Neur2.png\" alt=\"\" width=\"134\" height=\"180\" \/>A 7-Minute Neurocognitive Screening Battery Highly Sensitive to Alzheimer\u00a0Disease. with P.R. Solomon, A. Hirschoff, B. Kelley,<span style=\"font-size: medium;\">\u00a0M. Relin, M. Bruxh\u00a0<\/span><span style=\"font-size: medium;\">and W. W. Pendlebury, <\/span><em>Archives of\u00a0Neurology<\/em><span style=\"font-size: medium;\">, Vol. 55, (1998), pp. 349-355.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-189\" title=\"technometrics\" src=\"https:\/\/sites.williams.edu\/rdeveaux\/files\/2011\/08\/technometrics.jpeg\" alt=\"\" width=\"110\" height=\"148\" \/><\/p>\n<p><span style=\"font-size: medium;\">Prediction Intervals for Neural Networks via Nonlinear Regression. with<\/span>\u00a0<span style=\"font-size: medium;\">J. Schumi, J. Schweinsberg, and Lyle Ungar, Vol. 40, (1998), Draft (1997),\u00a0No. 4, pp. 273-282.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"font-size: medium;\">A Brief Introduction to Neural Networks. with Lyle Ungar, Submitted\u00a0<\/span><span style=\"font-size: medium;\">for Publication &#8212; Draft version (1996)<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"font-size: medium;\">Estimating Prediction Intervals for Artificial Neural Networks. with\u00a0<\/span><span style=\"font-size: medium;\">Lyle Ungar and E. Rosengarten, Ninth Yale Workshop on Adaptive and Learning\u00a0<\/span><span style=\"font-size: medium;\">Systems, (1996).<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft  wp-image-190\" style=\"color: #333333; font-style: normal; line-height: 24px;\" title=\"rspacurrent\" src=\"https:\/\/sites.williams.edu\/rdeveaux\/files\/2011\/08\/rspacurrent.gif\" alt=\"\" width=\"129\" height=\"183\" \/><\/p>\n<p><span style=\"font-size: medium;\">A Guide<\/span><span style=\"font-size: medium;\">d Tour of Modern Regression Methods, <\/span><em>Proceedings of the Section on Physical and Engineering Sciences, <\/em>(Invited talk given at the 1995 fall FTC. Shewell Award 1995).<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"font-size: medium;\"><span style=\"font-size: medium;\">A Statistical Basis for Using Radial Basis Functions for Process Control. with Lyle Ungar,<\/span><\/span><span style=\"font-size: medium;\"><em>\u00a0American Control Conference Proceedings<\/em> (1995)<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"font-size: medium;\">Statistical Approaches to Fault Analysis in Multivariate Process Control.<br \/>\nwith Lyle Ungar and J.M. Vinson,\u00a0<em>American Control Conference Proceedings<\/em> (1994).<\/span><\/li>\n<\/ul>\n<div><\/div>\n<ul>\n<li><span style=\"font-size: medium;\">Radial Basis Function Neural Networks for Process Control. with Lyle<br \/>\nUngar and T. Johnson,<em>\u00a0CIMPRO Proceedings<\/em>, (1994)\u00a0pp.357-364.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-size: medium;\"><br \/>\n<a href=\"http:\/\/sites.williams.edu\/rdeveaux\/files\/2011\/08\/wrr.gif\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft  wp-image-191\" title=\"wrr\" src=\"https:\/\/sites.williams.edu\/rdeveaux\/files\/2011\/08\/wrr.gif\" alt=\"\" width=\"130\" height=\"172\" \/><\/a>A Stochastic Model Relating Rainfall Intensity to Raindrop Processes. with\u00a0<\/span><span style=\"font-size: medium;\">J.A. Smith,\u00a0<\/span><em>Water Resources Research<\/em><span style=\"font-size: medium;\">, Vol. 30, No. 4, <\/span><span style=\"font-size: medium;\">\u00a0(1994),\u00a0<\/span><span style=\"font-size: medium;\">pp. 651-664.<\/span><\/p>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n<div><\/div>\n<div>\n<ul>\n<li><span style=\"font-size: medium;\">Resizing Triathlons for Fairness. with H. Wainer, <\/span><em>Chance <\/em><span style=\"font-size: medium;\">,Vol. 7, No. 1, (1994), pp.<\/span><span style=\"font-size: medium;\">\u00a020-25.<\/span><\/li>\n<\/ul>\n<\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"font-size: medium;\">Comment on &#8220;Neural Networks and Related Methods for Classification&#8221; (with<br \/>\nC.J. Darken and L.H. Ungar), <em>JRSSB<\/em> , <strong>56 (3)<\/strong>, 446-447, (1994).<\/span><\/li>\n<li><span style=\"font-size: medium;\">&#8220;Multicollinearity: A Tale of two Non-parametric Regressions &#8221;, (with<br \/>\nL.H. Ungar). In <em>Selecting Models from Data: AI and Statistics IV, <\/em>(ed P.Cheeseman and R.W. Oldford), pp.293-302. Springer-Verlag, (1994). <\/span><a href=\"papers\/tale.ps\">postscript<\/a> <a href=\"papers\/tale.pdf\">pdf format<\/a><\/li>\n<li><span style=\"font-size: medium;\">&#8220;A statistical analysis of Antarctic sea ice using multivariate adaptive<br \/>\nregressionsplines&#8221; (with A. Gordon, J. Comiso and N. Bacherer),<em> Journal of Geophysical Research, <\/em><strong>98 :(C11)<\/strong> 20,307-20,320 (1993).<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"font-size: medium;\">A comparison of two nonparametric estimation schemes: MARS and Neural Networks&#8221;<br \/>\n(with D.C. Psichogios and L.H. Ungar), <em>Computers in Chemical Engineering <\/em><strong>17<\/strong>:(8), 819-837, (1993).<\/span><\/li>\n<li><span style=\"font-size: medium;\">&#8220;The temporal and spatial variability of rainfall power&#8221; (with J.A. Smith), <em>Environmetrics <\/em><strong>3<\/strong>:(1) , 29-53, (1992)<\/span><\/li>\n<li><span style=\"font-size: medium;\">&#8220;Non-parametric system identification: A comparison of MARS and Neural<br \/>\nNetworks&#8221; (with D.C. Psichogios and L.H. Ungar), <em>American Control Conference Proceedings, <\/em>1436-1440, (1992).<\/span><\/li>\n<li><span style=\"font-size: medium;\">&#8220;Robust estimation of a normal mixture&#8221; (with A.M. Krieger), <em>Statistics and Probability Letters<\/em>,<strong> 10 <\/strong>, 1-7, (1990).<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"font-size: medium;\">&#8220;Multivariate time series modelling of strong motion accelerograms recorded<br \/>\nin Mexico and Taiwan&#8221; (with G.W. Ellis and A.S. Cakmak), <em>Soil Dynamics and Earthquake Engineering,<\/em><strong>9<\/strong>: 5, 218-227, (1990).<\/span><\/li>\n<li><span style=\"font-size: medium;\">`An application of factorial design to the development of fused silica capillary<br \/>\ncolumns&#8221; (with K.J. Hyver), <em>Journal of High Resolution Chromatography, <\/em><strong>12<\/strong>, 208-212, (1989).<\/span><\/li>\n<li><span style=\"font-size: medium;\">&#8220;Optimizing automatic splitless injection parameters for gaschromatographic<br \/>\nenvironmental analysis&#8221; (with M. Szelewski), <em>Journal of Chromatographic Science, <\/em><strong>27<\/strong>: 9, 513-518,(1989).<\/span><\/li>\n<li><span style=\"font-size: medium;\">&#8220;Finding transformations for linear regression using the ACE algorithm&#8221;<em> Sociological Methods and Research, <\/em><strong>18<\/strong>: 2 \\&amp; 3 328-359, (1989).<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"font-size: medium;\">&#8220;Mixtures of linear regressions.&#8221; <em>Computational Statistics and Data Analysis, <\/em><strong>8,<\/strong> 227-245,(1989).<\/span><\/li>\n<li><span style=\"font-size: medium;\">&#8220;ACE guided transformation method for estimation of the coefficient of<br \/>\nsoil water diffusivity&#8221; (with J.M. Steele.)(Wilcoxon Award 1990), <em>Technometrics,<\/em> <strong>31<\/strong>: 1, 91-99, (1989).<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Publications (under construction) How to lie with bad data. with David Hand, Statistical Science, Vol. 20, No. 3 (Aug., 2005), pp. 231-238. &nbsp; &nbsp; Hybrid Neural networks for environmental Process Control. with Lyle Ungar and Rod Bain, The 1998\u00a0J.S.\u00a0Hunter Lecture,\u00a0Environmetrics, &hellip; <a href=\"https:\/\/sites.williams.edu\/rdeveaux\/publications\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":306,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-5","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sites.williams.edu\/rdeveaux\/wp-json\/wp\/v2\/pages\/5","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.williams.edu\/rdeveaux\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.williams.edu\/rdeveaux\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.williams.edu\/rdeveaux\/wp-json\/wp\/v2\/users\/306"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.williams.edu\/rdeveaux\/wp-json\/wp\/v2\/comments?post=5"}],"version-history":[{"count":12,"href":"https:\/\/sites.williams.edu\/rdeveaux\/wp-json\/wp\/v2\/pages\/5\/revisions"}],"predecessor-version":[{"id":12,"href":"https:\/\/sites.williams.edu\/rdeveaux\/wp-json\/wp\/v2\/pages\/5\/revisions\/12"}],"wp:attachment":[{"href":"https:\/\/sites.williams.edu\/rdeveaux\/wp-json\/wp\/v2\/media?parent=5"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}