# Welcome

## My Quotes in Statistics: Sunday, Dec. 30

53 Kuotes | 50 Books## Import Kindle clippings easily

Beta status: Bulk Kuote import!!!!### Log in & Sign in using:

### Statistics: Sunday, Dec. 30

InstapaperHome statistics.com ? Archive ? Like & ArchiveStatistics: Sunday, Dec. 30 -

*Instapaper*

For examples of other applications, see the special issue of Proc. ACM 38(3), 1995, and the Microsoft Decision Theory GroupStatistics: Sunday, Dec. 30 -

*Instapaper*

The most widely used Bayes Nets are undoubtedly the ones embedded in Microsoft?s products, including the Answer Wizard of Office 95, the Office Assistant (the bouncy paperclip guy) of Office 97, and over 30 Technical Support Troubleshooters.Statistics: Sunday, Dec. 30 -

*Instapaper*

Archive All ? Download NewestStatistics: Sunday, Dec. 30 -

*Instapaper*

The standard deviation formula is essentially the same as the pythagorean formula. The pythagorean formula, if you remember from geometry, establishes the length of the hypotenuse of a right triangle. Working backwards, if you know the hypotenuse, you can figure out the length of each leg. The pyathogorean formula thus allows you to standardize different right triangles (ie, giving one number to use for comparison), and to describe multiple properties of each one (ie, two legs). Its properties carry over to any measurement of distance, and is commonly used whenever distance is being measured. Standard deviation is essentially a standardized, easily comparable measurement of distance.Statistics: Sunday, Dec. 30 -

*Instapaper*

Statistics: Standard Deviation khanacademy.orgStatistics: Sunday, Dec. 30 -

*Instapaper*

Statistics: Alternate Variance Formulas khanacademy.orgStatistics: Sunday, Dec. 30 -

*Instapaper*

Statistics en.wikibooks.orgStatistics: Sunday, Dec. 30 -

*Instapaper*

openanalytics.eu ? Archive ? Like & Archive ? Like R Service Bus Having the right algorithm is a first big step to get advanced analytics solve your problem and inform your decisions. The next one is to have the algorithm work for you and integrate it in your workflows and business processes. The R Service Bus is a swiss army knife that allows you to plug R into your processes independently of the technology used by other software applications involved in the workflow.Statistics: Sunday, Dec. 30 -

*Instapaper*

stackd/gauss github.com ? Archive ? Like & ArchiveStatistics: Sunday, Dec. 30 -

*Instapaper*

Gauss JavaScript statistics and analytics library - Node.JS ready Evented, asynchronous, and fast, Node.JS is an attractive platform for data mining, statistics, and data analysis. Gauss makes it easy to calculate and explore data through JavaScript.Statistics: Sunday, Dec. 30 -

*Instapaper*

What is a statistical model? A statistical model is a mathematical model which is modified or trained by the input of data points. Statistical models are often but not always probabilistic. Where the distinction is important we will be careful not to just say ?statistical? but to use the following component terms: A mathematical model specifies a relation among variables, either in functional form that maps inputs to outputs (e.g. y = m x + b) or in relation form (e.g. the following (x, y) pairs are part of the relation). A probabilistic model specifies a probability distribution over possible values of random variables, e.g., P(x, y), rather than a strict deterministic relationship, e.g., y = f(x). A trained model uses some training/learning algorithm to take as input a collection of possible models and a collection of data points (e.g. (x, y) pairs) and select the best model. Often this is in the form of choosing the values of parameters (such as m and b above) through a process of statistical inference. Claude ShannonStatistics: Sunday, Dec. 30 -

*Instapaper*

On Chomsky and the Two Cultures of Statistical Learning norvig.com ? Archive ? Like & ArchiveStatistics: Sunday, Dec. 30 -

*Instapaper*

First the data modeling culture (to which, Breiman estimates, 98% of statisticians subscribe) holds that nature can be described as a black box that has a relatively simple underlying model which maps from input variables to output variables (with perhaps some random noise thrown in). It is the job of the statistician to wisely choose an underlying model that reflects the reality of nature, and then use statistical data to estimate the parameters of the model. Second the algorithmic modeling culture (subscribed to by 2% of statisticians and many researchers in biology, artificial intelligence, and other fields that deal with complex phenomena), which holds that nature?s black box cannot necessarily be described by a simple model. Complex algorithmic approaches (such as support vector machines or boosted decision trees or deep belief networks) are used to estimate the function that maps from input to output variables, but we have no expectation that the form of the function that emerges from this complex algorithm reflects the true underlying nature.Statistics: Sunday, Dec. 30 -

*Instapaper*

MIT OpenCourseWare - Mathematics - 18.443 Statistics for Applications,Statistics: Sunday, Dec. 30 -

*Instapaper*

A map of the Tricki | Tricki tricki.org ? Archive ? Like & ArchiveStatistics: Sunday, Dec. 30 -

*Instapaper*

Khan Academy Probability and Statistics Online Statistics Education: An Interactive Multimedia Course of Study http://onlinestatbook.com/ CMU Open Learning Initiative Statistics Introduction to Statistical Thought BookStatistics: Sunday, Dec. 30 -

*Instapaper*

Conditional independence in Bayes Nets In general, the conditional independence relationships encoded by a Bayes Net are best be explained by means of the ?Bayes Ball? algorithm (due to Ross Shachter), which is as follows:Statistics: Sunday, Dec. 30 -

*Instapaper*

One very interesting question is: can we distinguish causation from mere correlation? The answer is ?sometimes?, but you need to measure the relationships between at least three variables; the intution is that one of the variables acts as a ?virtual control? for the relationship between the other two, so we don?t always need to do experiments to infer causality. See the following books for details. ?Causality: Models, Reasoning and Inference?, Judea Pearl, 2000, Cambridge University Press. ?Causation, Prediction and Search?, Spirtes, Glymour and Scheines, 2001 (2nd edition), MIT Press. ?Cause and Correlation in Biology?, Bill Shipley, 2000, Cambridge University Press. ?Computation, Causation and Discovery?, Glymour and Cooper (eds), 1999, MIT Press.Statistics: Sunday, Dec. 30 -

*Instapaper*

## 's Books

Hermann Hesse - Demian Patricio 94 Kuotes Converted Site Itamaraty Comple - Itamaraty Itamaraty 487 Kuotes All the Money in the World: What the Happiest People Know About Getting and Spending Laura Vanderkam 99 Kuotes Instapaper: Tuesday, Jul. 10 Instapaper 31 Kuotes Educarse en la era digital. La escuela educativa Ángel I. Pérez Gomez 170 Kuotes KindlePB2 summa 145 Kuotes Calder- ¦ón - Ciudadan- ¦ía y DH 32 Kuotes Clase 5 17 de octubre: Inversión extranjera directa, flujos financieros internacionales y desarrollo 108 Kuotes Reengineering The Sales Process es6.mike@gmail.com 115 Kuotes Educación y trabajo: lecciones desde la práctica innovadora en América Latina; Colección Innovemos; Vol.:1; 2008 Graciela Messina, Enrique Pieck, Elsa Castañeda Bernal and UNESCO Office Santiago and Regional Bureau for Education in Latin America and the Caribbean 96 Kuotes Aprenda A Meditar c.1.1 124 Kuotes Imagine: How Creativity Works Jonah Lehrer 36 Kuotes Curso CRESCO 2015 John Rasor 81 Kuotes Didáctica Magna Comenio, Juan Amós 101 Kuotes Flavia Marco 05 de octubre 2012 TULLOA 62 Kuotes Instapaper: Monday, Apr. 22 Instapaper 43 Kuotes POLITICA NACIONAL DE QUINUA usuario 120 Kuotes KindleSEOMOZ2 summa 280 Kuotes Gobernanza-para-el-desarrollo-economico web 44 Kuotes NLP NLP Comprehensive 72 Kuotes Microsoft Word - Ley Marco Promulgada.doc Administrador 50 Kuotes io2_2013 iaraya 52 Kuotes How to Increase Sales Online ? The Checklist Peep Laja 48 Kuotes ARQUEOLOGA DE LA SOCIOLOGA AMBIENTAL x 36 Kuotes OLSEN-La-Cultura-Material-Despues-Del-Texto administrador 47 Kuotes Pobreza. Un Glosario internacionall CLACSO 387 Kuotes A Cauda Longa Chris Anderson 53 Kuotes Big Data: A Revolution That Will Transform How We Live, Work, and Think Viktor Mayer-Schonberger and Kenneth Cukier 176 Kuotes The Game Strauss, Neil 236 Kuotes ttmik-l6 Desconocido 58 Kuotes Instapaper: Wednesday, May. 15 Instapaper 44 Kuotes La peste table des matières hyperliée 85 Kuotes Steve Jobs Walter Isaacson 220 Kuotes Focus Goleman, Daniel 111 Kuotes The Accident Linwood Barclay 55 Kuotes How Children Succeed: Grit, Curiosity, and the Hidden Power of Character Paul Tough 67 Kuotes Resilience Ann Marie Healy and Andrew Zolli 57 Kuotes Food Rules Pollan, Michael 236 Kuotes The Art and Science of Low Carbohydrate Performance Phinney, Stephen;Jeff Volek 90 Kuotes El manual del estratega: Los cinco estilos de hacer estrategia Spanish Edition 469 Kuotes Inteligencia emocional Daniel Goleman 162 Kuotes The Rough Guide to India Rough Guide to... 187 Kuotes DESARROLLA UNA MENTE PRODIGIOSA: 44 Psicologia Y Autoayuda 66 Kuotes Técnicas del guión para cine y televisión Eugene Vale 396 Kuotes Peso cero Antonia Romero 130 Kuotes Kindle4RSS - Feb 17 14:24 Kindle4rss 63 Kuotes Tristram Shandy Spanish Edition 32 Kuotes Nana c.1 130 Kuotes Oszlak y Orellana - SADCI Oscar Oslak 36 Kuotes Instapaper: Sunday, Mar. 31 Instapaper 61 Kuotes