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Course: P 25, Fall 2008School: Minnesota
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Minnesota - JPN - 5
Minnesota - IMA - 2005
FAIR POLYLINE NETWORKS FOR CONSTRAINED SMOOTHING OF DIGITAL TERRAIN ELEVATION DATABy Michael Hofer Guillermo Sapiro and Johannes WallnerIMA Preprint Series # 2058( August 2005 )INSTITUTE FOR MATHEMATICS AND ITS APPLICATIONSUNIVERSITY OF MINNE
Minnesota - WWW1 - 400
Welcome to the Bruker AvanceII+ 400MHz automated NMR service,University of Minnesota, Institute for Therapeutics Discovery and Development The spectrometer is optimized for 1D and 2D experiments of relatively1 13 19 15 29 31concentrated NMR sampl
Minnesota - WWW1 - 400
TopSpin 1-D Processingcommands in green, parameters in blueWindow functions em performs exponential multiplication to the FID. lb (line broadening) defines the value of the exponential factor. Default lb for PROTON parameter set is 0.3 Hz gm appli
Minnesota - WWW1 - 400
Glossary of Common Bruker NMR Commands and Terms *WARNING* Commands preceded by an asterisk (*) should not be used in automation mode. These commands are executed automatically by the software. .co .hr .hz .im .y abs acqu apk aq * atma * bsmsdisp COS
Minnesota - WWW1 - 400
Variable Temperature Experiments on the ITDD NMR*CAUTION* If you are planning to run VT experiments, know the physical properties of your sample/solvent. Choose an appropriate temperature. Samples exploding in the magnet are a hassle for everybody.
Minnesota - BIOSTAT - 2
AbstractWe describe certain computer procedures in S+ that were developed to perform Bayesian computations for hierarchical models by the Gibbs sampler method and to perform diagnostics: added-variable plots, collinearity measures, case in uence, re
Minnesota - PH - 7440
To install the key for WinBUGS 1.4 please follow these instructions: 1. 2. Start your copy of WinBUGS14. Either or a) open this file (menu File option Open) as a .txt fileb) open a new empty window (menu File option New), and cut and copy this emai
Minnesota - BIOSTAT - 3
# # Here is WinBUGS code for Poisson/gamma hierarchical model # (Carlin and Louis, 2008, Example 3.6) # model { for (i in 1:k) { theta[i] ~ dgamma(alpha,beta) lambda[i] <- theta[i]*t[i] Y[i] ~ dpois(lambda[i]) } alpha ~ dexp(1.0) beta ~ dgamma(0.1, 1
Minnesota - BIOSTAT - 2
# # R code for 2-stage Bayesian GLM (Lindley and Smith, 1972) # See Example 4.1 in Carlin and Louis (2008) # X <-cbind(rep(1,n),lgage) mu <- c(0,0) R <- matrix(c(0.001,0,0,0.001), nrow=2) tau <- c(1,100) postfn <- function(Y, X, mu, R, tau){ p <- dim
Minnesota - BIOSTAT - 3
# # WinBUGS code for 3-stage Bayesian GLM (Lindley and Smith, 1972) # See Example 4.2 in Carlin and Louis (2008) # model{ for( i in 1:n) { logage[i] <- log(x[i]) Y[i] ~ dnorm(meen[i] , tau) meen[i] <- beta[1]+ beta[2]*(logage[i] - mean(logage[]) } be
Minnesota - BIOSTAT - 2
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Minnesota - BIOSTAT - 1
col col col col1 2 3 4= = = =time to event (days) event (0=censoring, 1=TE OR death) CD4 count at baseline drug indicator (0=placebo, 1=pyrimethamine)These data are for monitoring point 1 (1/15/91): * 1 5 8 11 12 12 13 13 18 25 27 27 32 40 40
Minnesota - BIOSTAT - 2
col col col col1 2 3 4= = = =time to event (days) event (0=censoring, 1=TE OR death) CD4 count at baseline drug indicator (0=placebo, 1=pyrimethamine)These data are for monitoring point 2 (7/31/91): * 1 1 6 7 7 9 9 9 9 12 12 12 16 19 19 20 20
Minnesota - BIOSTAT - 3
col col col col1 2 3 4= = = =time to event (days) event (0=censoring, 1=TE OR death) CD4 count at baseline drug indicator (0=placebo, 1=pyrimethamine)These data are for monitoring point 3 (12/31/91): * 1 1 1 12 12 13 13 14 14 14 15 17 20 21 2
Minnesota - BIOSTAT - 4
col col col col1 2 3 4= = = =time to event (days) event (0=censoring, 1=TE OR death) CD4 count at baseline drug indicator (0=placebo, 1=pyrimethamine)These data are for monitoring point 4 (3/30/92): * 6 12 13 13 14 17 19 20 21 23 27 27 27 28
Minnesota - MORRIS - 12006
Transforming the University of MinnesotaFinal Recommendations of the System Task Force Coordinate CampusA Public Honors CollegeCommittee MembersAngel (Andy) Lopez, Professor of Computer Science, Chair Joseph Basel, Student, Economics and Mana
Minnesota - MNTAP - 2008
SOURCE2008 Issue 1McLean Thermal Conserves Water, Saves MoneyA Twin Cities-area manufacturer, McLean Thermal, recently implemented changes to save money by reducing the amount of water used. The company avoided onetime service availability charge
Minnesota - GANDALF - 2007
Bayesian and Approximate Bayesian Modeling of Human Sequential Decision-Making on the Multi-Armed Bandit ProblemAbstractIn this paper we investigate human exploration/exploitation behavior in sequential-decision making tasks. Previous studies have
Minnesota - GANDALF - 08
Psy 5018H: Math Models Human Behavior Spring 2006 Prof. Paul Schrater Homework #1, Due Feb. 1th Do the problem set below for credit. Please do the tutorial (not for credit) which follows the problem set as well.Problem SetSubmit homework as a ".m"
Minnesota - GANDALF - 08
Syllabushttp:/gandalf.psych.umn.edu/~schrater/schrater_lab/courses/MathMod06/PSY5018H:MathModelsHumBehavior,Prof.PaulSchrater,Spring2006Mathematical Model Definition of a Model: A model is a simplified representation of some aspect of the real
Minnesota - GANDALF - 08
Mathematical PreliminariesMath Models of Human Behavior Department Psychology Prof. Schrater Spring 2006PSY 5018H: Math Models Hum Behavior, Prof. Paul Schrater, Spring 2006Linear Algebra Need to know or learn How to compute inner products, out
Minnesota - GANDALF - 08
Mathematical PreliminariesMath Models of Human Behavior Department Psychology Prof. Schrater Spring 2006 PSY5018H:MathModelsHumBehavior,Prof.PaulSchrater,Spring2006Linear Algebra Need to know or learn How to compute inner products, outer product
Minnesota - GANDALF - 08
Measurement TheoryPSY 5018H: Math Models Hum Behavior, Prof. Paul Schrater, Spring 2004Measurement Theory Why should we care about Measurement Theory? Correspondence between data and reality Meaningfulness of numbers Provides ways to test as
Minnesota - GANDALF - 08
Psy 5018H: Math Models Human Behavior Spring 2008 Prof. Paul Schrater Homework #1, Due Feb. 12th Do the problem set below for credit. Please do the tutorial (not for credit) which follows the problem set as well.Problem SetSubmit homework as a ".m
Minnesota - GANDALF - 08
Minnesota - GANDALF - 08
Normative Decision TheoryA prescriptive theory for how decisions should be made to maximize the value of decision outcomes for an individualPSY 5018H: Math Models Hum Behavior, Prof. Paul Schrater, Spring 2005Decision Theory Quantify preference
Minnesota - GANDALF - 08
Normative Decision TheoryA prescriptive theory for how decisions should be made to maximize the value of decision outcomes for an individualPSY5018H:MathModelsHumBehavior,Prof.PaulSchrater,Spring2005Decision Theory Quantify preferences on outcom
Minnesota - GANDALF - 08
Decision Theory IIPSY 5018H: Math Models Hum Behavior, Prof. Paul Schrater, Spring 2005Multi-attribute UtilityHopefully fi(xi) are simply like additionPSY 5018H: Math Models Hum Behavior, Prof. Paul Schrater, Spring 2005Mapping world proper
Minnesota - GANDALF - 08
Decision Theory IIPSY5018H:MathModelsHumBehavior,Prof.PaulSchrater,Spring2005Multi-attribute UtilityHopefullyfi(xi)aresimplylikeadditionPSY5018H:MathModelsHumBehavior,Prof.PaulSchrater,Spring2005Mapping world properties onto Utility Somecan
Minnesota - GANDALF - 08
Psy 5018H: Math Models Human Behavior Spring 2008 Prof. Paul Schrater Homework #2, Due Feb. 19th, midnight.Problem 1: You have contracted a deadly disease only Amazidrug can cure.You want to decide whether to take the drug. Assume your goal is to m
Minnesota - GANDALF - 08
Making Decisions: Modeling perceptual decisionsPSY 5018H: Math Models Hum Behavior, Prof. Paul Schrater, Spring 2005Outline Graphical models for belief example completed Discrete, continuous and mixed belief distributions Vision as an infere
Minnesota - GANDALF - 08
Making Decisions: Modeling perceptual decisionsPSY5018H:MathModelsHumBehavior,Prof.PaulSchrater,Spring2005Outline Graphical models for belief example completed Discrete, continuous and mixed belief distributions Vision as an inference problem
Minnesota - GANDALF - 08
Vision as Optimal Inference The problem of visual processing can be thought of as computing a belief distribution Conscious perception better thought as a decision based on both beliefs and the utility of the choice.PSY 5018H: Math Models Hum Beh
Minnesota - GANDALF - 08
Decision Theory: Action ProblemsPSY 5018H: Math Models Hum Behavior, Prof. Paul Schrater, Spring 2004Decision theory goes Bad?And thus the native hue of resolution Is sicklied o'er with the pale cast of thought, And enterprises of great pith an
Minnesota - GANDALF - 08
Rational Decision MakingPSY5018H:MathModelsHumBehavior,Prof.PaulSchrater,Spring2005Actual Uses for Decision Theory Kidney abnormality: Cyst or Tumor Cyst test: aspiration Needle in back to kidney- local anesthetic, in and out. Tumor test: ar
Minnesota - GANDALF - 08
PSY 5018H: Math Models Hum Behavior, Prof. Paul Schrater, Spring 2004PSY 5018H: Math Models Hum Behavior, Prof. Paul Schrater, Spring 2004PSY 5018H: Math Models Hum Behavior, Prof. Paul Schrater, Spring 2004PSY 5018H: Math Models Hum Behavior,
Minnesota - GANDALF - 08
PSY5018H:MathModelsHumBehavior,Prof.PaulSchrater,Spring2004PSY5018H:MathModelsHumBehavior,Prof.PaulSchrater,Spring2004PSY5018H:MathModelsHumBehavior,Prof.PaulSchrater,Spring2004PSY5018H:MathModelsHumBehavior,Prof.PaulSchrater,Spring2004PSY501
Minnesota - GANDALF - 08
Modeling Sequential ProcessesPSY 5018H: Math Models Hum Behavior, Prof. Paul Schrater, Spring 2004Simple Sequential Processes Sequences of Events: State Dynamics Sequences of Responses Sequences of DecisionsPSY 5018H: Math Models Hum Behavio
Minnesota - GANDALF - 08
Modeling Sequential ProcessesPSY5018H:MathModelsHumBehavior,Prof.PaulSchrater,Spring2004Simple Sequential Processes Sequences of Events: State Dynamics Sequences of Responses Sequences of DecisionsPSY5018H:MathModelsHumBehavior,Prof.PaulSchr
Minnesota - PA - 5021
Hubert Humphrey Institute of Public Affairs Fall 2004 PA 5021: Microeconomics for Public Affairs and Planning IInstructor: Maria Hanratty, 251 Humphrey Center, mhanratty@hhh.umn.edu, 625-6500 Office Hours: MW 2:30-4:30 or by appointment Meeting Tim
Minnesota - PA - 5022
PA 5022 Winter 2005Economics for Policy Analysis and Planning II Section 1: Cost-Benefit Analysis Professor John E. Brandl TA: JT Haines Humphrey Institute of Public Affairs University of Minnesota Class Sessions: 11:15-12:30, Mondays and Wednesday
Minnesota - PA - 5036
PA 5036 Humphrey Institute of Public Affairs University of MinnesotaSpring 2006PA5036: Community Analysis and Planning Techniques: Regional Economic AnalysisProf. Helzi Noponen: Room 232 HHH Ctr; Phone: 625-4856*001 LEC , 11:15 A.M. - 12:05 P.M
Minnesota - PA - 5122
5122: Law and Public AffairsSection 1, Spring 2007 MW 2:30-3:45pm 15 Humphrey CenterSally J. Kenney Office: 263 Humphrey Center phone: 625-3409 E-mail: kenne030@umn.edu Office Hours: Mondays 4-5 Teaching Assistant: Serena Laws office: (cube outside
Minnesota - PA - 5261
Housing Policy(DHA5463/PA5261) Dr. Jeff Crump Phone: 612.624.2281 Office: 350 McNeal Hall Spring 2007 E-mail: jrcrump@umn.eduOffice hours: 1:00-2:00, TTH, or by appointment Office hours are between 1:00 and 2:00 PM on Tuesdays and Thursdays in my
Minnesota - PA - 5502
PA 5502 SYLLABUS ECONOMIC DEVELOPMENT IISpring 2006 (second half) Jose Ygnacio Diaz,04:00 P.M. - 05:40 P.M. Tu,Th (03/19/2007 - 05/04/2007)Description of Course: This course is designed primarily for students in the Humphrey Institute of Public A
Minnesota - PA - 5920
DRAFT PROPOSALBeing Effective in the Legislative Process Proposed by the Humphrey Institute Policy Forum Objective To provide graduate students at the Humphrey Institute with the opportunity to learn from and engage with legislators, legislative st
Minnesota - PA - 5990
Spring 2006 Stakeholder Analysis, SWOT Analysis & Causal Mapping PA 5990-6 Saturday, January 28, 2006 8:00 a.m. to 5:00 p.m. Room 35 HHH Center S-N only, .5 credits Instructors: Barbara Crosby, Lee Munnich and John Bryson Brief course description: Th
Minnesota - PA - 8001
Syllabus PA 8001 Transforming Public PolicySpring Semester 2007 Mondays: 5:30 p.m. 8:50 p.m. Humphrey Center 180 Instructor: John Bryson 300 Humphrey Center (O) 612-625-5888 (H) 822-1513 jmbryson@hhh.umn.edu Office Hours: Mondays, 3-5 p.m. and by a
Minnesota - PA - 3961
Leadership, You and Your Community EdPA 3302W / PA 3961W Fall Semester, 2006Instructors: Carl Brandt brand001@umn.edu 612-625-5809 Christen Christopherson mcchristopherson@comcast.net 763-473-1015 Time, Room and Dates: Tuesday and Thursday, 12:45 2
Minnesota - PA - 3971
Leadership Minor Field Experience PA 3971/EdPA 3402 Section 001Fall 2006 (2 credits)Instructor:Dr. Linnette Werner 1901 University Ave SE #210 Office for Student Affairs 612-308-6364 wern0065@umn.edu Office Hours by Appointment Tami Rangel 1901
Minnesota - PA - 3971
Leadership Minor Field Experience PA 3971/EdPA 3402 Section 002Fall 2006 (2 credits)Instructor:Tami Rangel 1901 University Ave. S.E. #210 Office for Student Affairs 612-624-1559 trangel@umn.edu Office Hours by Appointment Dr. Linnette Werner 190
Minnesota - PA - 5003
Minnesota - PA - 5021
DRAFTDRAFTDRAFTPA 5021, Sections 3/4 - Microeconomics for Public Affairs and Planning IRobert Kudrle Phone: 625-3338 Office: 163 Humphrey Center Office Hours: M W 11:15-12:00 and by appointment Email: kudrle@umn.eduFall Semester 2006 Blegen
Minnesota - PA - 5022
PA 5022Section 1Public Services RedesignHumphrey Institute University of Minnesota Spring 2005 4:00-5:15, Mondays and Wednesdays, March 21-May 4 Carlson 1-136 Professor John Brandl Humphrey Center 237 Phone: 626-9877 e-mail: jbrandl@hhh.umn.edu O
Minnesota - PA - 5031
HUBERT H. HUMPHREY INSTITUTE OF PUBLIC AFFAIRS UNIVERSITY OF MINNESOTAEmpirical Analysis IPA 5031, Section 11, Fall 2006 Instructor Joe Ritter 164 Humphrey Center (612) 625-0442 jritter@hhh.umn.edu Ofce Hours: Wednesday 3:004:00 P.M., appointments
Minnesota - PA - 5123
Introductory Philanthropy: Theory and Practice Jacqueline Copeland-Carson Philanthropy is a growing social force and industry in the U.S. However, the scholarly study of philanthropy is just beginning to develop as an academic discipline. This class
Minnesota - PA - 5190
1. Course Title: Information Technology Management in Public and Nonprofit Organizations. 2. Course Number: PA 5190 3. Course Description: This course will give graduate students an overview of key managerial and strategic issues associated with usin
Minnesota - PA - 5231
PA 5231 Transit Planning and ManagementFall, 2006 Preliminary Course SyllabusInstructor: David Laverny-Rafter, Ph.D., AICP Contact: Telephone: (612)920-0542, Cell Phone : (507)317-2088 E-mail: rafte003@umn.edu Course Purpose and Objectives The curr
Minnesota - PA - 5290
PA 5290 Topics in Planning - Introduction to Site Planning Preliminary syllabus subject to change.Mondays 6:00-8:30 PM Fall 2006, 1st half semester University of Minnesota - Humphrey Institute Instructor: Greg Ingraham, Vice President HKGi. SE Mpls.
Minnesota - PA - 5441
Topics in Social Policy: Education Policy Public Affairs 5441 Draft syllabus Fall Quarter, 2005 Monday, 6:00-8:30 P.M., September 12 to December 12, 2005 Joe Nathan 612 626-1834 Humphrey, Rm 30 Office: 235 HHH Center Office Hours: By appt. (cdietrich