Smart Cities: Earthquake “Prediction”

From IFORS Developing Countries Online Resources
Jump to: navigation, search

by: Gerhard -Wilhelm Weber, Fatma Yerlikaya Özkurt, Aysegül Askan

Introduction

In the last decades, learning from data has become very important in every field of science and technology, e.g., in

• computational biology,

• medicine,

• engineering,

• financial sector,

• earth science.

Learning enables for doing estimation and prediction. Regression is mainly based on the ideas of

• least squares estimation

• maximum likelihood estimation

• and classification.

New tools for data analysis, based on nonparametric regression or smoothing:

• CMARS method: an alternative approach to the well-known data mining tool MARS.


Link to material: http://ifors.org/wp-content/uploads/2016/11/Aveiro-2016-Earthquakes.pdf


<html> <head> </head> <body> <script type="text/javascript">(function(d, t, e, m){

   // Async Rating-Widget initialization.
   window.RW_Async_Init = function(){
       RW.init({
           huid: "141148",
           uid: "6db8b62d52afa816e07e3917b2d0ce28",
           source: "website",
           options: {
               "advanced": {
                   "layout": {
                       "lineHeight": "22px"
                   }
               },
               "size": "medium",
               "style": "oxygen"
           } 
       });
       RW.render();
   };
   // Append Rating-Widget JavaScript library.
   var rw, s = d.getElementsByTagName(e)[0], id = "rw-js",
       p = d.location.protocol, a = ("https:" == p ? "secure." + 
       m + "js/" : "js." + m), ck = "Y" + t.getFullYear() + "M" + 
       t.getMonth() + "D" + t.getDate();
   if (d.getElementById(id)) return;              
   rw = d.createElement(e);
   rw.id = id; rw.async = true; rw.type = "text/javascript";
   rw.src = p + "//" + a + "external.min.js?ck=" + ck;
   s.parentNode.insertBefore(rw, s);

}(document, new Date(), "script", "rating-widget.com/"));</script>

</body> </html>