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Fwd: [icme-linear-algebra-opt Special seminar by Prof Rudolf Kalman

To: stanford-imaging@xxxxxxxxxxxxxxxxxxx, kitanidisgroup@xxxxxxxxxxxxxxxxxx
From: Hatef Monajemi <monajemi@xxxxxxxxxxxx>
Date: Fri, 28 Oct 2011 20:08:10 -0700 (PDT)
Cc: Milad Mortazavi <miladm@xxxxxxxxxxxx>, efml nerds <efml_nerds@xxxxxxxxxxxxxxxxxx>, "Souheil M. Ezzedine" <ezzedine1@xxxxxxxx>
In-reply-to: <CAGERL-256YCTYCO3TxxxKfGMmQ4y6UyiPzcSrgPrd-xFpTDEDQ@mail.gmail.com>

I am looking forward to this seminar. A not-to-miss seminar. Mark your calender! 

----- Forwarded Message -----
From: "Michael Saunders" <saunders@xxxxxxxxxxxx> 
To: icme-linear-algebra-optimization@xxxxxxxxxxxxxxxxxx, icme-faculty@xxxxxxxxxxxxxxxxxx, icme-students@xxxxxxxxxxxxxxxxxx, "BANANA" <banana@xxxxxxxxxxxxxxxxxx>, or-seminars@xxxxxxxxxxxxxxxxxx 
Sent: Friday, October 28, 2011 7:18:16 PM 
Subject: [icme-linear-algebra-opt Special seminar by Prof Rudolf Kalman 

Special seminar of interest to the 
Linear Algebra and Optimization community (and others) 

A NEW APPROACH TO UNCERTAINTY AND STATISTICS 
Rudolf Kalman, Swiss Federal Institute of Technology, Zurich, Switzerland 
Monday 31 October 2011, 3:45pm 
Stanford University, Bldg 370, Room 370 (main quad) 

Especially in the English-speaking world, the mainstream approach to 
both problems has crystallized around a single hypothesis: 

(H) It is a law of Nature that randomness, uncertainty, indeterminacy, 
fuzziness, ..., and all that, is governed by probability. 

Rather than engaging in polemics or invoking Newton ("Hypotheses non 
fingo") we wish to make two simple remarks: 

1. (H) is not true in the real world, and consequently is not a law of nature. 
2. (H) is not necessary for a scientific analysis of randomness and uncertainty. 

We shall elaborate on the second point by presenting a mathematical 
critique (unpublished) of the "method of least squares" to illustrate 
the fact that dispensing with the a-priori assumptions centered on 
probability ("prejudices" in the scientific sense) leads to sharp 
insight and important new results. 

Bio: 
Prof Kalman received the IEEE Medal of Honor, the Kyoto Prize, and the 
National Medal of Science. 
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