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stochastic processes(2)

stochastic processes(2)

stochastic processes(2). Dr. Adil Yousif. Lecture 6. Cat and Mouse. Five Boxes [1,2,3,4,5] Cat starts in box 1, mouse starts in box 5 Each turn each animal can move left or right, (randomly) If they occupy the same box, game over (for the mouse anyway). 5 box cat and mouse game. States:.

By Patman
(247 views)

Query Suggestion Using Hitting Time

Query Suggestion Using Hitting Time

Query Suggestion Using Hitting Time. Qiaozhu Mei † , Dengyong Zhou ‡ , Kenneth Church ‡ † University of Illinois at Urbana-Champaign ‡ Microsoft Research, Redmond. Motivating Examples. Sports center. MSG. 1. Difficult for a user to express information need

By JasminFlorian
(357 views)

Rumors , consensus and epidemics on networks

Rumors , consensus and epidemics on networks

Rumors , consensus and epidemics on networks. J. Ganesh University of Bristol. Rumor spreading. Population of size n One person knows a rumor at time 0 Time is discrete In each time step, each person who knows the rumor chooses another person at random and informs them of it

By venus
(148 views)

3.6 First Passage Time Distribution

3.6 First Passage Time Distribution

3.6 First Passage Time Distribution. 劉彥君. Introduction. In this section, we work only with Brownian motion, the continuous-time counterpart of the symmetric random walk. We begin here with a martingale containing Brownian motion in the exponential function.

By arkadiy
(314 views)

Corporate Financing and Market Efficiency

Corporate Financing and Market Efficiency

Corporate Financing and Market Efficiency. Where to get money for good projects. Today’s plan. Review WACC Investment Decision vs. Financing Decision Does the stock price follow a random walk? Three forms of Market Efficiency Weak form efficiency Semi-strong form efficiency

By tassos
(240 views)

Mobile Agent Rendezvous P roblem in a Ring

Mobile Agent Rendezvous P roblem in a Ring

Mobile Agent Rendezvous P roblem in a Ring. Roberta Capuano,Vikas Kumar Jha. AGENDA. The renzezvous dilemma Definitions Mobile agent in rendezvous in a ring Rendezvous asymmetry Rendezvous symmetry How to break symmetry ? Algorithms Conclusion References.

By hosanna
(418 views)

Donsker Theorem and its application

Donsker Theorem and its application

Donsker Theorem and its application. Vadym Omelchenko. Definition. Donsker Theorem. Proof. Proof. Proof. Proof. Proof. Proof of the tightness. Proof (Proof of the Lemma). Proof (Proof of the Lemma). Proof (Proof of the Lemma).

By gates
(298 views)

Non Unitary Random Walks

Non Unitary Random Walks

Non Unitary Random Walks. Philippe Jacquet INRIA-Polytechnique. In 1976…. Cadillac produced its last dinosaur…. Philippe was in INRIA for his first job creating the Algorithm project. Black Hole information loss paradox. Hawking’s information loss paradox claim (1976)

By elom
(102 views)

Peer-to-Peer Networks

Peer-to-Peer Networks

Peer-to-Peer Networks. Overlay Network. A logical network laid on top of the Internet. Logical link AB. Logical link BC. B. A. C. Internet. The Formal Model. Let V be a set of nodes. The functions id : V  Z+ assigns a unique id to each node in V

By chaela
(132 views)

Time series analysis

Time series analysis

Time series analysis. Example. Objectives of time series analysis. Classical decomposition: An example. Transformed data. Trend. Residuals. Trend and seasonal variation. Objectives of time series analysis. Unemployment data. Trend. Trend plus seasonal variation.

By veata
(219 views)

Link Analysis and spam

Link Analysis and spam

Link Analysis and spam. Slides adapted from Information Retrieval and Web Search, Stanford University, Christopher Manning and Prabhakar Raghavan CS345A, Winter 2009: Data Mining. Stanford University, Anand Rajaraman, Jeffrey D. Ullman. Query processing.

By vian
(91 views)

Advanced Time Series

Advanced Time Series

Advanced Time Series. PS 791C. Advanced Time Series Techniques. A number of topics come under the general heading of “state-of-the-art” time series Unit Root tests Granger Causality Vector Autoregression Models Error Correction Models Co-Integration Models Fractional Integration.

By christmas
(150 views)

Equilibrium Restricted Solid-on-Solid Models with Constraints on the Growth of Extremal heights

Equilibrium Restricted Solid-on-Solid Models with Constraints on the Growth of Extremal heights

Equilibrium Restricted Solid-on-Solid Models with Constraints on the Growth of Extremal heights. Yup Kim, Sooyeon Yoon Kyunghee University Hyunggyu Park Inha University. 1. Abstract

By herve
(175 views)

Exchange Rates

Exchange Rates

Exchange Rates. Dr. Antony Mueller The Continental Economics Institute www.continentaleconomics.com. Types of exchange rates. Exchange rate is the price of one currency in terms of another currency $/Peso or Peso/$

By siran
(193 views)

Meeting report

Meeting report

Meeting report. NTU CSIE Adviser : Prof. Jane Hsu Speaker : Wen-Chieh Fang 2005/09/21. Agenda. Simulation Scenario Behavior-based Reactive Paradigm Problem description Robot model Random walk Coordination Area bounding Emergency detecting Demo Summary and future work.

By bran
(83 views)

Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: Ballot theorem, ch. 7.6. Chip prop

Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: Ballot theorem, ch. 7.6. Chip prop

Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: Ballot theorem, ch. 7.6. Chip proportions and induction. Theorem 7.6.8. Project B tournaments. Homework 4, Stat 35, due March 14 in class. 6.12, 7.2, 7.8, 7.14.

By nida
(76 views)

Stochastic Differential Equations SDE

Stochastic Differential Equations SDE

Stochastic Differential Equations SDE. Peyman Givi Department of Mechanical Engineering and Mater ials Science University of Pittsburgh October, 2009. Objective. To predict and understand of Stochastic Process, or sometimes Random Process. Numerical solution . Random Process:.

By gali
(336 views)

Advanced Time Series

Advanced Time Series

Advanced Time Series. PS 791C. Advanced Time Series Techniques. A number of topics come under the general heading of “state-of-the-art” time series Unit Root tests Granger Causality Vector Autoregression Models Error Correction Models Co-Integration Models Fractional Integration.

By makan
(110 views)

Fama, Eugene. (1980). “Agency Problems and the Theory of the Firm,” The Journal of Political Economy 88(2): 288-307.

Fama, Eugene. (1980). “Agency Problems and the Theory of the Firm,” The Journal of Political Economy 88(2): 288-307.

Fama, Eugene. (1980). “Agency Problems and the Theory of the Firm,” The Journal of Political Economy 88(2): 288-307. Illini #1. The firm is viewed as a team or a nexus of contracts. Group 3: Jason Franken Prasanna Karhade Hsiao-Ching Lee Jennifer Shen Marko Madunic.

By marisa
(256 views)

Recommendation in Social Networks

Recommendation in Social Networks

Recommendation in Social Networks. Mohsen Jamali , Martin Ester Simon Fraser University Vancouver, Canada. UBC Data Mining Lab October 2010. Outline. Introduction Collaborative Filtering Social Recommendation Evaluating Recommenders TrustWalker SocialMF Conclusion. Outline.

By blythe
(146 views)

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