'Observed data' presentation slideshows

Statistical inference for astrophysics

Statistical inference for astrophysics. A short course for astronomers Cardiff University 16-17 Feb 2005 Graham Woan, University of Glasgow. Lecture Plan. Why statistical astronomy? What is probability? Estimating parameters values the Bayesian way the Frequentist way

1.37k views • 115 slides

Switched Supervisory Control

1.45k views • 95 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. Where to from here?. Multinomial Unordered Choice. Panel Data Models. Ordered Choice. Bayesian Methods. Stated Preference Methods. Non- and Semiparametric Methods. Part 4. Multinomial Choice Models.

787 views • 66 slides

Strategy Implementation: The Relationship Between Project Management, Knowledge Management, and Strategic Project Portfo

Strategy Implementation: The Relationship Between Project Management, Knowledge Management, and Strategic Project Portfolio Performance. Robert Cholip Proposal Defense February, 2008 Committee Members: Dr Kelly (Chair), Dr Felsen, & Dr Gabriel. Table of Contents.

812 views • 48 slides

http://www.lions.odu.edu/~amoha006 http://numericalmethods.eng.usf.edu/people.html#Duc_Nguyen

562 views • 43 slides

Prototype Classification Methods

Prototype Classification Methods. Fu Chang Institute of Information Science Academia Sinica 2788-3799 ext. 1819 fchang@iis.sinica.edu.tw. Types of Prototype Methods. Crisp model (K-means, KM) Prototypes are centers of non-overlapping clusters Fuzzy model (Fuzzy c -means, FCM)

653 views • 42 slides

Initial Stock Analysis

Initial Stock Analysis. Andrew Bentley February 8 , 2012. Outline. Price and returns for Apple Inc. (AAPL) and Ford Motor Inc. (F) Measures of Volatility RV, BV, Sub-Sampled RV, TV Volatility Signatures RV and BV Relative Contribution of Jumps Basic Comparison Between these Measures.

385 views • 27 slides

Random Variables

Random Variables. Section 3.1. A Random Variable: is a function on the outcomes of an experiment; i.e. a function on outcomes in S . For discrete random variables , we call P ( X = x ) = P ( x ) the probability mass function ( pmf ) . .

463 views • 27 slides

Informative Censoring Addressing Bias in Effect Estimates Due to Study Drop-out

Informative Censoring Addressing Bias in Effect Estimates Due to Study Drop-out. Mark van der Laan and Maya Petersen Division of Biostatistics, University of California, Berkeley. van der Laan Lab graphic: L. Co. Overview. What is informative censoring and how can it lead to bias?

451 views • 23 slides

Phylogeny Estimation: Traditional and Bayesian Approaches

Phylogeny Estimation: Traditional and Bayesian Approaches. Molecular Evolution, 2003 mbhebsgaard@zi.ku.dk. Phylogeny Estimation. Traditional approaches Neighbour-joining algorithm Tree searches with optimality criterion Parsimony Maximum likelihood Bayesian Approaches.

260 views • 23 slides

Forging new generations of engineers

Forging new generations of engineers. Introduction to Statistics. Statistics Lab. Using Packages of Colored Candies. Purpose of Statistics:. Describe a set of numbers and then make accurate inferences (a.k.a. educated guesses) about that group of data based on incomplete information.

351 views • 20 slides

340 views • 20 slides

Skit on Reserving

Skit on Reserving. Committee on Professionalism Education. Agenda. Professional Guidance Skit Small Group Discussion Large Group Discussion Takeaways. Professional Guidance.

328 views • 19 slides

Pattern Finding and Pattern Discovery in Time Series

Pattern Finding and Pattern Discovery in Time Series. Tr?n Qu?c Long College of Computing, Georgia Tech. Long Q Tran College of Computing, Georgia Tech. Contents. Pattern Finding & Pattern Discovery Pattern Finding & Pattern Discovery in Time Series Hidden Markov Models (HMMs) Summary.

435 views • 18 slides

The Nursing Process

The Nursing Process. ASSESSMENT. Nursing Process. Dynamic, ongoing Facilitates delivery of organized plan of nursing care Involves 5 parts Assessment Diagnosis Planning (goal making) Implementation Evaluation. Assessment. Systematic Deliberate (planned, organized)

552 views • 15 slides

458 views • 15 slides

Water Quality and Copano Bay Watershed Efforts

Water Quality and Copano Bay Watershed Efforts. Allen Berthold Texas Water Resources Institute. Copano Bay and I ts Watershed. Purpose for Today: The Clean Water Act. Federal Clean Water Act (CWA)

271 views • 14 slides

Data Handling & Analysis BD7054 2012-2013

Data Handling & Analysis BD7054 2012-2013. Andrew Jackson Zoology, School of Natural Sciences a.jackson@tcd.ie. Introduction to Hypothesis Testing. An Experiment Flipping coins. A simple experiment. Question: Does adding weight to a coin make it unfair? Blu-tac added to head side

178 views • 10 slides

Scenario: Kingsthorpe Soil Water Evaporation Project

195 views • 8 slides

Objectives: Review MAP Derivation

LECTURE 22: MAP FOR MARKOV CHAINS. Objectives: Review MAP Derivation Resources: JLG: MAP For Markov Chains XH: Spoken Language Processing LP: MAP For Music Recognition MB: MAP Adaptation of Grammars XH: MAP Adaptation of LMs.

132 views • 4 slides