Estimation theory

Fisher consistency

In statistics, Fisher consistency, named after Ronald Fisher, is a desirable property of an estimator asserting that if the estimator were calculated using the entire population rather than a sample, the true value of the estimated parameter would be obtained. (Wikipedia).

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2D Equilibrium -- Balancing Games

How does everything even out? Learn what 2D Equilibrium is and how it effects the balance of life. License: Creative Commons BY-NC-SA More information at http://k12videos.mit.edu/terms-conditions

From playlist Measurement

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Evaluation 8: F-measure

F-measure is a harmonic mean of recall and precision. Think of it as accuracy, but without the effect of true negatives (which made accuracy meaningless for evaluating search algorithms). F-measure can also be interpreted as the Dice coefficient between the relevant set and the retrieved s

From playlist IR13 Evaluating Search Engines

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Introduction to Similarity

This video introduces similarity and explains how to determine if two figures are similar or not. http://mathispower4u.com

From playlist Number Sense - Decimals, Percents, and Ratios

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The Normal Distribution (1 of 3: Introductory definition)

More resources available at www.misterwootube.com

From playlist The Normal Distribution

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Estimate the Correlation Coefficient Given a Scatter Plot

This video explains how to estimate the correlation coefficient given a scatter plot.

From playlist Performing Linear Regression and Correlation

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Physics 33 - Fluid Statics (1 of 10) Pressure in a Fluid

Visit http://ilectureonline.com for more math and science lectures! In this video I will show you how to calculate the pressure of an object in a fluid.

From playlist MOST POPULAR VIDEOS

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Variance (4 of 4: Proof of two formulas)

More resources available at www.misterwootube.com

From playlist Random Variables

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On Adaptation, Epistasis and Fitness Landscapes - Lecture 1 by Claudia Bank

ORGANIZERS : Vidyanand Nanjundiah and Olivier Rivoire DATE & TIME : 16 April 2018 to 26 April 2018 VENUE : Ramanujan Lecture Hall, ICTS Bangalore This program is aimed at Master's- and PhD-level students who wish to be exposed to interesting problems in biology that lie at the biology-

From playlist Living Matter 2018

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Micrometer/diameter of daily used objects.

What was the diameter? music: https://www.bensound.com/

From playlist Fine Measurements

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Statistical Rethinking Fall 2017 - week01 lecture01

Week 01, lecture 01 for Statistical Rethinking: A Bayesian Course with Examples in R and Stan, taught at MPI-EVA in Fall 2017. This lecture covers Chapters 1 and 2. Slides are available here: https://speakerdeck.com/rmcelreath Additional information on textbook and R package here: http

From playlist Statistical Rethinking Fall 2017

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Navigating fitness landscapes By Joachim Krug

ORGANIZERS : Deepa Agashe and Kavita Jain DATE & TIME : 05 March 2018 to 17 March 2018 VENUE : Ramanujan Lecture Hall, ICTS Bangalore No living organism escapes evolutionary change. Evolutionary biology thus connects all biological disciplines. To understand the processes driving evolut

From playlist Third Bangalore School on Population Genetics and Evolution

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Sloppiness and Parameter Identifiability, Information Geometry by Mark Transtrum

26 December 2016 to 07 January 2017 VENUE: Madhava Lecture Hall, ICTS Bangalore Information theory and computational complexity have emerged as central concepts in the study of biological and physical systems, in both the classical and quantum realm. The low-energy landscape of classical

From playlist US-India Advanced Studies Institute: Classical and Quantum Information

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6. Maximum Likelihood Estimation (cont.) and the Method of Moments

MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet continued on maximum likelihood estimators and talked about Weierstrass Approximation Theorem (WAT), and statistical appli

From playlist MIT 18.650 Statistics for Applications, Fall 2016

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What If Our Understanding of Gravity Is Wrong?

Thank you to CuriosityStream for supporting PBS. For more information go to https://curiositystream.thld.co/PBSSPACETIME Check Out @PBSVitals here: https://youtu.be/FOL0Hs8UcNs What if there is no such thing as dark matter? What if our understanding of gravity is just wrong? New work is

From playlist Dark Matter Explained!

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Guido Montúfar : Fisher information metric of the conditional probability politopes

Recording during the thematic meeting : "Geometrical and Topological Structures of Information" the September 01, 2017 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent

From playlist Geometry

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Pawn Stars: Signed Princess Leia Action Figure (Season 15) | History

When a seller brings in a "Star Wars" action figure based on an iconic holographic projection, Rick calls on an expert to verify Carrie Fisher's signature in this clip from "Can't Pawn Me Love". #PawnStars Subscribe for more from Pawn Stars: http://po.st/SubscribeToPawnStars Watch more Pa

From playlist Pawn Stars: Official Series Playlist | New Episodes Wednesdays at 8/7c | History

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The Real Kelly's Heroes - GIs Stole Huge Nazi Gold Stash

The true but unknown story of one of the greatest gold heists in history that occurred in US-occupied Germany in June 1945 - the real story of Kelly's Heroes! Main source: 'Nazi Gold' by Ian Sayer & Douglas Botting (1984) Dr. Mark Felton is a well-known British historian, the author of

From playlist Daring Raids

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Choosing Indexes for Similarity Search (Faiss in Python)

Facebook AI Similarity Search (Faiss) is a game-changer in the world of search. It allows us to efficiently search a huge range of media, from GIFs to articles - with incredible accuracy in sub-second timescales for billion+ size datasets. The success in Faiss is due to many reasons. One

From playlist Vector Similarity Search and Faiss Course

Related pages

Estimation theory | Functional (mathematics) | Parameter | Empirical distribution function | Expected value | Consistent estimator | Bias of an estimator | Indicator function | Statistics | Cumulative distribution function | Exchangeable random variables | Statistical population | Arithmetic mean