Econometrics | Meta-analysis

Statistical alchemy

Statistical alchemy was a term originated by John Maynard Keynes to describe econometrics in 1939. The phrase has subsequently been used by Alvan Feinstein to describe meta-analysis. It is generally regarded as a deprecatory term which undermines attempts to present such activities as meeting the rigorous standards of science. (Wikipedia).

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Lecture06 Standard Deviation

The dispersion of data by means of the standard deviation.

From playlist Medical Statistics

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Linear regression

Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.

From playlist Learning medical statistics with python and Jupyter notebooks

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Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation

https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation

From playlist Statistics (Full Length Videos)

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Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

From playlist Statistics (Full Length Videos)

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Statistics 5_1 Confidence Intervals

In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.

From playlist Medical Statistics

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Lecture01 Introduction to this course on medical statistics

A new course in medical statistics using widely available spreadsheet software.

From playlist Medical Statistics

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Linear regression ANOVA ANCOVA Logistic Regression

In this video tutorial you will learn about the fundamentals of linear modeling: linear regression, analysis of variance, analysis of covariance, and logistic regression. I work through the results of these tests on the white board, so no code and no complicated equations. Linear regressi

From playlist Statistics

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NOTACON 4: Grid Computing with Alchemi and .NET

Speaker: Kn1ghtl0rd Grid computing is a newer way of processing information in a distributed manor. A lot of well known projects utilize this method of computing such as Seti@Home. This discussion will cover the technology behind grid computing and how it can be utilized to improve speed

From playlist Notacon 4

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Guido Falk von Rudorff - Systematically improvable models from alchemical perturbations - IPAM UCLA

Recorded 13 April 2022. Guido Falk von Rudorff of the University of Vienna, Physics, presents "Systematically improvable models from alchemical perturbations" at IPAM's Model Reduction in Quantum Mechanics Workshop. Abstract: Interpolating between Hamiltonians of different isoelectronic sy

From playlist 2022 Model Reduction in Quantum Mechanics Workshop

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Troubling Trends in ML Scholarship - Zachary Lipton

Deep Learning: Alchemy or Science? Topic: Troubling Trends in ML Scholarship Speaker: Zachary Lipton Affiliation: Carnegie Mellon University Date: February 22, 2019 For more video please visit http://video.ias.edu

From playlist Mathematics

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Mod-01 Lec-05 The Globalization of English

English Language and Literature by Dr. Liza Das & Dr. Krishna Barua,Department of Humanities and Social Sciences,IIT Guwahati.For more details on NPTEL visit http://nptel.ac.in

From playlist IIT Guwahati: English Language and Literature | CosmoLearning.org English Language

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More Standard Deviation and Variance

Further explanations and examples of standard deviation and variance

From playlist Unit 1: Descriptive Statistics

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25c3: Vertex Hacking

Speakers: fukami, BeF Hide and Seek in A. Flash This talk rounds up possible web-based attacks using Flash with a particular focus on obfuscation, de-obfuscation and the generic detection of malicious SWF. While there are some tools out there to analyze AS2 and AS3 based SWF, using vari

From playlist 25C3: Nothing to hide

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Discussion With Jon Perry of Stated Clearly (Science Communication and Public Science Literacy)

Dave chats with Jon Perry of Stated Clearly and Stated Casually about his book on disarming pseudoscience, and the myriad topics within! Originally streamed 5/16/21 on the Stated Casually channel: https://www.youtube.com/watch?v=0gphjA15He4 Make sure to check out Jon's main channel, State

From playlist Debunks/Discussions/Debates

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[See Description] Accessing Fundamental company Data - Programming for Finance with Python - Part4

UPDATED series: https://pythonprogramming.net/quantopian-trading-strategies-introduction-python-programming-for-finance/ This series has become outdated with Quantopian 2.0. In this tutorial, we're going to be covering fundamental data with Quantopian. Fundamental company data is coming

From playlist Python for Finance with Zipline and Quantopian

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Introduction to statistics

This lecturelet will introduce you to the series on statistical analyses of time-frequency data. For more online courses about programming, data analysis, linear algebra, and statistics, see http://sincxpress.com/

From playlist OLD ANTS #8) Statistics

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Science in the Stars - W. Newman - 4/27/2019

On April 26-27 2019, the Division of Humanities & Social Sciences at Caltech hosted a conference in honor of Jed Z. Buchwald, “Looking Back as We Move Forward: The Past, Present, and Future of the History of Science.” This event was sponsored by the Division of the Humanities & Social Sci

From playlist Looking Back as We Move Forward - A Conference in Honor of Jed Z. Buchwald - 4/26-27/2019

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The Epistemology of Deep Learning - Yann LeCun

Deep Learning: Alchemy or Science? Topic: The Epistemology of Deep Learning Speaker: Yann LeCun Affiliation: Facebook AI Research/New York University Date: February 22, 2019 For more video please visit http://video.ias.edu

From playlist Mathematics

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Ex: Determine the Value of a Number on a Logarithmic Scale (Log Form)

This video explains how to determine the value of several numbers on a logarithmic scale scaled in logarithmic form. http://mathispower4u.com

From playlist Using the Definition of a Logarithm

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Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc

In this video, we will be learning how to import and export data from multiple different sources. We will cover CSV, JSON, Excel, SQL, and more. This video is sponsored by Brilliant. Go to https://brilliant.org/cms to sign up for free. Be one of the first 200 people to sign up with this l

From playlist Pandas Tutorials

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Isaac Newton | Econometrics | Meta-analysis