'Marginal distribution' diaporamas de présentation

Some additional Topics

Some additional Topics. Distributions of functions of Random Variables. Gamma distribution, c 2 distribution, Exponential distribution. Therorem.

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The Multivariate Normal Distribution, Part 2

The Multivariate Normal Distribution, Part 2. BMTRY 726 1/14/2014. Multivariate Normal PDF. Recall the pdf for the MVN distribution Where x is a p -length vector of observed variables m is also a p -length vector and E( x )= m S is a p x p matrix, and Var ( x )= S

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Learning Inhomogeneous Gibbs Models

Learning Inhomogeneous Gibbs Models. Ce Liu celiu@microsoft.com. How to Describe the Virtual World. Histogram. Histogram: marginal distribution of image variances Non Gaussian distributed. Texture Synthesis (Heeger et al, 95). Image decomposition by steerable filters Histogram matching.

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A Bayesian Approach to Localized Multi-Kernel Learning Using the Relevance Vector Machine

A Bayesian Approach to Localized Multi-Kernel Learning Using the Relevance Vector Machine. R. Close, J. Wilson, P. Gader. Outline. Benefits of kernel methods Multi-kernels and localized multi-kernels Relevance Vector Machines (RVM) Localized multi-kernel RVM (LMK-RVM)

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Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields

Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields. Lin Liao, Dieter Fox, and Henry Kautz , In International Journal of Robotics Research (IJRR), 26(1), 2007. 2012311529 Yong- Joong Kim Dept. of Computer Science Yonsei University. Contents.

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Crosstabs & Measures of Association

Crosstabs & Measures of Association. POL242 October 9 and 11, 2012 Jennifer Hove. Questions of Causality. Recall: Most causal thinking in social sciences is probabilistic, not deterministic: as X increases, the probability of Y increases, not that X invariably produces Y

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Three-Dimensional Crown Mass Distribution via Copulas

Three-Dimensional Crown Mass Distribution via Copulas. Dr. John A. Kershaw, Jr. Professor of Forest Mensuration/Biometrics Faculty of Forestry and Env. Mgmt University of New Brunswick. Copula. [kop-yuh-luh] something that connects or links together . Cupola.

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RELIABILITY OF DISEASE CLASSIFICATION

RELIABILITY OF DISEASE CLASSIFICATION. Nigel Paneth. TERMINOLOGY. Reliability is analogous to precision Validity is analogous to accuracy Reliability is how well an observer classifies the same individual under different circumstances.

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Rank centrality: Ranking from comparisons

Rank centrality: Ranking from comparisons. Sahand Negahban Sewoong Oh Devavrat Shah Yale + UIUC + MIT. Some scenarios. Given partial preferences Compute global ranking with scores to reflect intensity Sports Outcome of games between teams/players Social recommendations

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R isk Modeling of Multi-year , Multi-line Reinsurance Using Copulas

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On Frequent Chatters Mining

On Frequent Chatters Mining. Claudio Lucchese 1 st HPC Lab Workshop. Frequent Patterns Mining. Claudio Lucchese, Salvatore Orlando, Raffaele Perego : Mining Top-K Patterns from Binary Datasets in Presence of Noise . SDM 2010. How may patterns do you see in the following dataset ?.

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Gaussian Processes

Gaussian Processes. Li An anli@temple.edu. The Plan. Introduction to Gaussian Processes Revisit Linear regression Linear regression updated by Gaussian Processes Gaussian Processes for Regression Conclusion. Why GPs?. Here are some data points! What function did they come from?

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The Stand Structure Generator - further explorations into the joy of copula

The Stand Structure Generator - further explorations into the joy of copula. Dr. John A. Kershaw, Jr., CF, RPF Professor of Forest Mensuration UNB, Faculty of Forestry.

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Biostat 2065 Review

Biostat 2065 Review. November 2, 2009. Data with missing values. Taxonomy. Complete-cases based methods ( i ). Complete-cases based methods (ii). Available-case analysis. Lack of self-consistency. Not useful. Single imputation methods ( i ). Explicit modeling:

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Review of Probability

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Quick Review Probability Theory

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Lesson 12 - R

Lesson 12 - R. Chapter 12 Review. Objectives. Summarize the chapter Define the vocabulary used Complete all objectives Successfully answer any of the review exercises Use the technology to compute required objectives. Key Concepts.

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Fair scores for ensemble forecasts Chris Ferro University of Exeter

Fair scores for ensemble forecasts Chris Ferro University of Exeter. 13th EMS Annual Meeting and 11th ECAM ( 10 September 2013 , Reading, UK). Evaluating ensemble forecasts. Multiple predictions, e.g. model simulations from several initial conditions.

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