PPT-Strategic voting Lirong Xia

Jérôme Lang with thanks to Lets vote gt gt A voting rule determines winner based on votes gt gt gt gt 1 2 Voting Plurality rule. Registration fee per Youth grades K 12th 20 Youth Registration fee includes Saturday lunch No charge for Children 4 years and younger Saturday lunch provided Childcare will be provided during all Assembly Activities All Meal Registrations must be re Yossi. Oren and . Avishai. Wool. , . http://eprint.iacr.org/2009/422. snipurl.com/e-voting. IEEE RFID’2010, Orlando FL. Agenda. What’s the Israeli e-Voting Scheme?. How can we break it cheaply and completely?. Lirong. Xia. Joint work with. . Vincent Conitzer. Jerome Lang. Sep 9, 2011. Computational voting theory IMHO. General combinatorial voting (computational perspective). Strategic sequential voting. . NIST Voting Data Formats Workshop. Gaithersburg. October, 2009. Parker Abercrombie. parker@TheOkoriGroup.com. EML for Open Voting. Who we are. Not-for-profit organization dedicated to the development of open voting . (Ben . Adida. ). Jimin. Park. Carleton University. COMP 4109 Seminar. 15 February 2011. “ If you think. cryptography. is the solution. to your problem….. … then you. don’t understand. cryptography…. and Behavior. Unit 2. Topic 2. Day 4. Elections and Voting. Objective. Students will be able to . understand U.S.. voting . rights;. v. oter qualifications; and. v. oter behavior.. Starter. Have all adult Americans had the right to . Aggregation. Game. -Theoretic and Combinatorial Aspects of Computational . Social Choice. EPFL. June 15, . 2012. Lirong. Xia. Preference Aggregation: Social Choice. > >. . voting rule. Xuhua Xia. xxia@uottawa.ca. http://dambe.bio.uottawa.ca. Xuhua Xia. Slide . 2. Normal and Thalassemia HBb. Are the two genes homologous?. What evolutionary change can you infer from the alignment? . What is the consequence of the evolutionary change?. Stepwise Regression. Y may depend on many independent variables. How to find a subset of X’s that best predict Y?. There are several criteria (e.g., adjusted R. 2. , AIC, BIC, likelihood ratio test, etc.) for model selection and many algorithms for including or excluding X’s in the model: forward selection, backward elimination, stepwise regression, etc.. Xuhua Xia. xxia@uottawa.ca. http://. dambe.bio.uottawa.ca. Xuhua Xia. Transition bias refers to the degree by which the s/v ratio deviates from the expected 1/2. The observed s/v ratio is almost always much larger than 1/2.. Many applications of statistical analysis involves a continuous variable as dependent variable (DV) but both continuous and categorical variables as independent variables (IV). . Relationship between DV and continuous IVs is linear and the slope remains the same in different groups: ANCOVA.. Mark Wang. John Sturm. Sanjeev. . Kulkarni. Paul Cuff. Basic Background – What is the problem?. Condorcet = IIA. Survey Data. Pairwise Boundaries = No strategic voting. Outline. How to make group decisions when you must.. Xuhua Xia. xxia@uottawa.ca. http://dambe.bio.uottawa.ca. Xuhua Xia. Slide . 2. Normal and Thalassemia HBb. Are the two genes homologous?. What evolutionary change can you infer from the alignment? . What is the consequence of the evolutionary change?. EstimationofDimensionReductionSpacethat,foranyconstantvector;:::;b,thereareconstants;:::;cdependingonsuchthat,forthedirectionsinmodel(1.1),AspointedoutbyCookandWeisbergintheirdiscussionofLi(1991),them