'Stochastic simulation' presentation slideshows

Bayesian Networks

Bayesian Networks. October 9, 2008 Sung-Bae Cho. Agenda. Bayesian Network Introduction Inference of Bayesian Network Modeling of Bayesian Network Bayesian Network Application Bayesian Network Application Example Life Log Application Example Summary & Review. 5 7. Probabilities.

1.36k views • 83 slides

STOCHASTIC HYDROLOGY Bivariate Simulation

STOCHASTIC HYDROLOGY Bivariate Simulation. Bivariate normal Bivariate exponential Bivariate gamma. Professor Ke-Sheng Cheng Department of Bioenvironmental Systems Engineering National Taiwan University.

912 views • 63 slides

Generative Topic Models for Community Analysis

Generative Topic Models for Community Analysis . Ramesh Nallapati. Objectives. Provide an overview of topic models and their learning techniques Mixture models, PLSA, LDA EM, variational EM, Gibbs sampling Convince you that topic models are an attractive framework for community analysis

755 views • 55 slides

Generative Topic Models for Community Analysis

Generative Topic Models for Community Analysis . Ramesh Nallapati. Objectives. Provide an overview of topic models and their learning techniques Mixture models, PLSA, LDA EM, variational EM, Gibbs sampling Convince you that topic models are an attractive framework for community analysis

793 views • 55 slides

616 views • 48 slides

Rate-Independent Constructs for Chemical Computation

Rate-Independent Constructs for Chemical Computation. Phillip Senum University of Minnesota. Motivation. Much effort has been spent developing techniques for analyzing existing chemical systems. Comparatively little has been devoted to designing chemical systems.

476 views • 40 slides

S3-SEMINAR ON DATA MINING -BAYESIAN NETWORKS- B. INFERENCE

525 views • 38 slides

A Multi-Scale Mechanics Method for Analysis of Random Concrete Microstructure

A Multi-Scale Mechanics Method for Analysis of Random Concrete Microstructure. David Corr Nathan Tregger Lori Graham-Brady Surendra Shah. Collaborative Research: Northwestern University Center for Advanced Cement-Based Materials Johns Hopkins University

515 views • 36 slides

GROUND MOTION SIMULATIONS AT RAPID RESPONSE SITES IN ISTANBUL, TURKEY

486 views • 34 slides

CSCE 580 Artificial Intelligence Section 6.4.1: Probabilistic Inference and Variable Elimination

CSCE 580 Artificial Intelligence Section 6.4.1: Probabilistic Inference and Variable Elimination. Fall 2009 Marco Valtorta mgv@cse.sc.edu.

467 views • 30 slides

An innovative modeling approach for simulating hypoxia/anoxia in estuarine ecosystems

410 views • 30 slides

Probabilistic Inference Unit 4, Introduction to Artificial Intelligence, Stanford online course

Probabilistic Inference Unit 4, Introduction to Artificial Intelligence, Stanford online course. Made by: Maor Levy, Temple University 2012. Inference in Bayes Nets What is the probability of getting a strong letter?

438 views • 29 slides

Simulation of synthetic series through stochastic processes

Simulation of synthetic series through stochastic processes. Alberto Montanari University of Bologna. Stochastic simulation. Stochastic (random) processes can be used for directly generating river flow data.

444 views • 28 slides

Seasonal Models

Seasonal Models. Materials for this lecture Lecture 3 Seasonal Analysis.XLS Read Chapter 15 pages 8-18 Read Chapter 16 Section 14. Uses for Seasonal Models. Have you noticed a difference in prices from one season to another? Tomatoes, avocados, grapes Wheat, corn, 450-550 pound Steers

397 views • 28 slides

Alex Shenfield a.shenfield@sheffield.ac.uk

Modelling, Optimisation and Decision Support Using the Grid. Alex Shenfield a.shenfield@sheffield.ac.uk. Rolls-Royce University Technology Centre in Control & Systems Engineering Department of Automatic Control & Systems Engineering The University of Sheffield, UK. Introduction :

338 views • 25 slides

Microsoft Research Faculty Summit 2007

307 views • 21 slides

By DR. SAROSH .H. LODI Professor, Department of Civil Engineering

PREDICTION OF RESPONSE SPECTRAL PARAMETERS FOR BHUJ EARTHQUAKE (26TH JANUARY 2001) USING COMPONENT ATTENUATION MODELLING TECHNIQUE. By DR. SAROSH .H. LODI Professor, Department of Civil Engineering NED UNIVERSITY OF ENGINEERING AND TECHNOLOGY KARACHI, PAKISTAN & MUKESH KUMAR

414 views • 21 slides

Modeling of Acute R esistance to the HER2 Inhibitor , L apatinib , in Breast C ancer C ells

Modeling of Acute R esistance to the HER2 Inhibitor , L apatinib , in Breast C ancer C ells. Marc Fink & Yan Liu & Shangying Wang Student Project Proposal Computational Cell Biology 2012. Outline. Brief review of the project goal Boolean network model and results

285 views • 19 slides

Repairs on Van de Graaff

Repairs on Van de Graaff. Van de Graaff & microwave bridge. Klystron, microwave bridge, & magnet. Block Diagram of ESR Spectrometer. http://www.chm.bris.ac.uk/emr/Phil/Phil_1/p_1.html. Gravity flow system, detector, & magnet. Glycine anion controversy.

496 views • 17 slides

DFA-25 DFA Pricing - In Depth Case Study Memphis B 2:15-3:30

Implications of Dynamic Financial Analysis (DFA) on Demutualization by Jan Lommele and Kevin Bingham. DFA-25 DFA Pricing - In Depth Case Study Memphis B 2:15-3:30. Introduction. Approaches to Demutualization Why Demutualization Actuarial Valuation Considerations

328 views • 15 slides