'Prior belief' diaporamas de présentation

Prior belief - PowerPoint PPT Presentation

Prof. Saibal Chattopadhyay IIM Calcutta

Prof. Saibal Chattopadhyay IIM Calcutta

IIMC Long Duration Executive Education Executive Programme in Business Management Statistics for Managerial Decisions. Prof. Saibal Chattopadhyay IIM Calcutta. An Outline of the Course. Probability Theory: Basic Concepts Distribution Theory:Random Variables

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603 views • 44 slides
L-Diversity: Privacy Beyond K-Anonymity

L-Diversity: Privacy Beyond K-Anonymity

L-Diversity: Privacy Beyond K-Anonymity. Ashwin Machanavajjhala , Johannes Gehrke , Daniel Kifer , Muthuramakrishnan Venkitasubramaniam. - Virag Kothari. Overview. Introduction Attacks on k-Anonymity Bayes Optimal Privacy l-Diversity Principle

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589 views • 39 slides
Value of information

Value of information

Value of information. Marko Tainio Decision analysis and Risk Management course in Kuopio 21.3.2011. Outline of lecture. Aim To give an overview on what is V OI and in what situation it is useful. Content What is Value of Information (VOI) analysis? How to calculate VOI?

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445 views • 32 slides
A Shrinkage Regression Approach to Tackle the HLA Region

A Shrinkage Regression Approach to Tackle the HLA Region

A Shrinkage Regression Approach to Tackle the HLA Region. Charlotte Vignal Variable Selection Workshop Vienna, July 26 th 2008. Outline. Overview of the HLA system and the challenge of analysing data from the HLA region

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271 views • 20 slides
When is an argument a good one?

When is an argument a good one?

When is an argument a good one? A cogent argument is an argument in which the premises are rationally acceptable and provide rational support for the conclusion. A cogent argument meets three conditions: The premises are acceptable . It is reasonable for us to accept the premises?

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321 views • 15 slides
Four major perceptual errors: Stereotyping : Is a very common distortion

Four major perceptual errors: Stereotyping : Is a very common distortion

Perception, Cognition, and Emotion MGT 5374 Negotiation & Conflict Management PowerPoint10 John D. Blair, PhD Georgie G. & William B. Snyder Professor in Management. Four major perceptual errors: Stereotyping : Is a very common distortion

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267 views • 14 slides
Lessons from Epi Midterm (S05)

Lessons from Epi Midterm (S05)

Lessons from Epi Midterm (S05). Reflections +. Validity is the Goal. Axiom: There is no such thing as a perfect test (Chap 4) Corollary 1: All test results require interpretation Corollary 2: A test does not have to be perfect to be useful. Why name appears outside only.

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179 views • 12 slides
Anonymizing Data with Quasi-Sensitive Attribute Values

Anonymizing Data with Quasi-Sensitive Attribute Values

Anonymizing Data with Quasi-Sensitive Attribute Values. Pu Shi 1 , Li Xiong 1 , Benjamin C. M. Fung 2 1 Departmen of Mathematics and Computer Science, Emory University, Atlanta, GA, USA 2 CIISE, Concordia University, Montreal, QC, Canana. Definitions. Problem Statement. Preliminary Results.

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127 views • 1 slides

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