'Same distribution' diaporamas de présentation

Forecasting Models

Forecasting Models. IE 3265 R. Lindeke. Introduction to Forecasting. What is forecasting? Primary Function is to Predict the Future Why are we interested? Affects the decisions we make today Examples: who uses forecasting in their jobs? forecast demand for products and services

607 views • 57 slides

A Verifiable Secret Shuffle of Homomorphic Encryptions

602 views • 49 slides

Simulation and Random Number Generation

Simulation and Random Number Generation. Summary . Discrete Time vs Discrete Event Simulation Random number generation Generating a random sequence Generating random variates from a Uniform distribution Testing the quality of the random number generator Some probability results

1.19k views • 48 slides

Chapter 4

Chapter 4. Exercise 1. The 95% CI represents a range of values that contains a population parameter with a 0.95 probability. This range is determined by the values that correspond to the 0.025 and 0.975 quantiles of the sampling distribution of the sample statistic. . Exercise 2.

582 views • 48 slides

Brief historical interlude

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Evaluating optimization algorithms: bounds on the performance of optimizers on unseen problems

Evaluating optimization algorithms: bounds on the performance of optimizers on unseen problems. David Corne , Alan Reynolds. My wonderful new algorithm, Bee-inspired Orthogonal Local Linear Optimal Covariance K inetics Solver Beats CMA-ES on 7 out of 10 test problems !!.

351 views • 23 slides

Level Splitting in Frustrated non-Kramers doublet systems

Level Splitting in Frustrated non-Kramers doublet systems. Spin Fluctuations in Metallic Pyrochlore Systems. Collin Broholm and Joost van Duijn Department of Physics and Astronomy Johns Hopkins University. Collaborators. Ruthenium pyrochlores K. H. Kim Rutgers N. Hur Rutgers

594 views • 22 slides

Inhomogeneous Level Splitting in Pr x Bi 2-x Ru 2 O 7

Inhomogeneous Level Splitting in Pr x Bi 2-x Ru 2 O 7. Collin Broholm and Joost van Duijn Department of Physics and Astronomy Johns Hopkins University. Collaborators. Ruthenium pyrochlores K. H. Kim Rutgers N. Hur Rutgers D. Adroja ISIS Q. Huang NIST S.-W. Cheong Rutgers

360 views • 22 slides

Instructor: Vincent Conitzer

Instructor: Vincent Conitzer. CPS 270: Artificial Intelligence http://www.cs.duke.edu/courses/fall08/cps270/ Introduction to probability. Uncertainty. So far in course, everything deterministic If I walk with my umbrella, I will not get wet But: there is some chance my umbrella will break!

300 views • 21 slides

Mini-voids in the Local Volume

Mini-voids in the Local Volume. A.Tikhonov , St. Petersburg Univ. I.Karachentsev, SAO RAS RUSSIA. Abstract.

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What is a good ensemble forecast? Chris Ferro University of Exeter, UK

What is a good ensemble forecast? Chris Ferro University of Exeter, UK With thanks to Tom Fricker , Keith Mitchell, Stefan Siegert , David Stephenson, Robin Williams. What are ensemble forecasts?.

327 views • 18 slides

Charmed Meson Reconstruction using Silicon Trackers in STAR Experiment at RHIC Motivation

Charmed Meson Reconstruction using Silicon Trackers in STAR Experiment at RHIC Motivation STAR Detector Microvertexing Results Summary and Future Jaiby Joseph for the STAR Collaboration Kent State University. Why Charm Mesons?.

305 views • 17 slides

GHSGT Review

GHSGT Review. Data Analysis, part 2. Pictographs. A pictograph uses a small picture to represent a certain number of participants Pick the number of how many to represent based on how well it will divide into the totals

265 views • 12 slides

Probability: the study of randomness

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Zero Knowledge

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Bowlby : Attachment and the internal working model

Bowlby : Attachment and the internal working model. Background on Bowlby. Bowlby was born to an upper middle class family in England in 1907. At that time, giving a lot of maternal affection was seen as spoiling a child.

673 views • 6 slides

Bowlby : Attachment and the internal working model

Bowlby : Attachment and the internal working model. Background on Bowlby. Bowlby was born to an upper middle class family in England in 1907. At that time, giving a lot of maternal affection was seen as spoiling a child.

561 views • 6 slides

140 views • 4 slides

Rules of Thumb for Information Acquisition from Large and Redundant Data

Version April 21, 2011. Rules of Thumb for Information Acquisition from Large and Redundant Data. Wolfgang Gatterbauer. 33 rd European Conference on Information Retrieval (ECIR'11). Database group University of Washington. http://UniqueRecall.com.

70 views • 0 slides