'Scale parameter' presentation slideshows

Bayesian data analysis 1 using Bugs 2 and R 3

Bayesian data analysis 1 using Bugs 2 and R 3. 1 Fit complicated models 2 clearly 3 display and understand results. Bayesian data analysis using BUGS and R. Prof. Andrew Gelman Dept. of Statistics and Political Science Columbia University.

2.21k views • 161 slides

Publisher: Earthscan, UK Homepage: earthscan.co.uk/?tabid=101808

Energy and the New Reality, Volume 2: C-Free Energy Supply Chapter 3: Wind Energy L. D. Danny Harvey harvey@geog.utoronto.ca. Publisher: Earthscan, UK Homepage: www.earthscan.co.uk/?tabid=101808.

1.65k views • 150 slides

Bayesian data analysis 1 using Bugs 2 and R 3

Bayesian data analysis 1 using Bugs 2 and R 3. 1 Fit complicated models . 2 easily . 3 display and understand results .

1.52k views • 137 slides

INFO 631 Prof . Glenn Booker

838 views • 72 slides

776 Computer Vision

776 Computer Vision. Jared Heinly Spring 2014 (slides borrowed from Jan-Michael Frahm , Svetlana Lazebnik , and others). Image alignment. Image from http://graphics.cs.cmu.edu/courses/15-463/2010_fall/. A look into the past. http://blog.flickr.net/en/2010/01/27/a-look-into-the-past/.

785 views • 70 slides

MODULE 3: CASE STUDIES

MODULE 3: CASE STUDIES. Professor D.N.P. Murthy The University of Queensland Brisbane, Australia. CASE STUDY - 1. Source: Warranty Cost Analysis [Chapter 13] Item: Aircraft component Problem: Item supplied without warranty Customer requests two-year warranty Select warranty terms

634 views • 45 slides

CS5112: Algorithms and Data Structures for Applications

CS5112: Algorithms and Data Structures for Applications. Lecture 21: Algorithmic issues in tracking. Ramin Zabih Some content from: Wikipedia/Google image search. Lecture Outline. Applying mean shift to tracking Expectation maximization RANSAC M-estimation Least squares fitting.

565 views • 44 slides

10. Generalized linear models

10. Generalized linear models. 10.1 Homogeneous models Exponential families of distributions, link functions, likelihood estimation 10.2 Example: Tort filings 10.3 Marginal models and GEE 10.4 Random effects models 10.5 Fixed effects models

879 views • 44 slides

A Path-size Weibit Stochastic User Equilibrium Model

A Path-size Weibit Stochastic User Equilibrium Model. Songyot Kitthamkesorn Department of Civil & Environmental Engineering Utah State University Logan, UT 84322-4110, USA Email: songyot.k@aggiemail.usu.edu Adviser: Anthony Chen Email: anthony.chen@usu.edu. Outline.

593 views • 38 slides

Sequence comparison: Significance of similarity scores

Sequence comparison: Significance of similarity scores. Genome 559: Introduction to Statistical and Computational Genomics Prof. William Stafford Noble. One-minute responses. I'm confused as to when I should parentheses versus brackets.

612 views • 34 slides

Population-level Effect of Free Access to HAART on Reducing HIV Transmission in Taiwan

Population-level Effect of Free Access to HAART on Reducing HIV Transmission in Taiwan. 2013 International Conference on Global Health: HIV : Seek, test, treat, and retain. Chi-Tai Fang, MD, PhD National Taiwan University. 2013/04/17. Highly Active Antiretroviral Therapy (HAART).

455 views • 32 slides

Dissertation paper Operational Risk in Banking System -modeling and advanced quantification methods-

THE ACADEMY OF ECONOMIC STUDIES, BUCHAREST DOFIN-DOCTORAL SCHOOL OF FINANCE AND BANKING. Dissertation paper Operational Risk in Banking System -modeling and advanced quantification methods-. Student: Cosma Anita Georgiana Supervisor: Professor Mois ? Alt?r.

582 views • 30 slides

Sequential Kernel Association Tests for the Combined Effect of Rare and Common Variants

Sequential Kernel Association Tests for the Combined Effect of Rare and Common Variants. Journal club (Nov/13) SH Lee. Introduction. Sequence data Rare and unidentified variants Groupwise association tests Omnibus tests Burden test , CMC test, SKAT test Up-weighting for rare,

407 views • 30 slides

581 views • 28 slides

The Age of Turbulence, Credit Derivatives Style

424 views • 24 slides

FLOOD

FLOOD. Mrinmoy Majumder www.baipatra.ws. Definition. High stage in river when the river overflows and inundates the adjoining area Flood peak and frequency of the peak is an important consideration in hydraulic design

678 views • 20 slides

Some standard univariate probability distributions

Some standard univariate probability distributions. Characteristic function, moment generating function, cumulant generating functions Discrete distribution Continuous distributions Some distributions associated with normal References.

273 views • 20 slides

Investigating the distribution of human activity space from mobile phone usage

Investigating the distribution of human activity space from mobile phone usage. Yihong Yuan 1,2 and Martin Raubal 1 1 Institute of Cartography and Geoinformation, ETH Zurich 2 Department of Geography, University of California, Santa Barbara yyuan@ethz.ch, mraubal@ethz.ch. Background.

300 views • 20 slides

Summary from Previous Lecture

Summary from Previous Lecture. Real networks: AS-level N= 12709, M=27384 (Jan 02 data) route-views.oregon-ix.net, hhtp://abroude.ripe.net/ris/rawdata router-level Traceroute servers, www.traceroute.org www graph N=O(billions) (1999 data)

241 views • 9 slides

Motivation:

Motivation: Lognormal model of asset prices assumes continuously compounded rates of return obey a Gaussian distribution. Widely used in industry (Black-Scholes, etc) BUT empirical evidence shows rates of return have fatter tails than suggested by the model.

180 views • 1 slides