Philosophy of statistics

Philosophy of statistics

The philosophy of statistics involves the meaning, justification, utility, use and abuse of statistics and its methodology, and ethical and epistemological issues involved in the consideration of choice and interpretation of data and methods of statistics. (Wikipedia).

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Introduction to Statistics

This lesson introduces some of the common vocabulary when studying statistics. Site: http://mathispower4u.com

From playlist Introduction to Statistics

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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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The Scientific Method and the question of "Infinite Sets" | Sociology and Pure Maths| N J Wildberger

Let's get some kind of serious discussion going about the differences in methodology and philosophy between the sciences and mathematics, and how these differences manifest themselves in the attitude towards the logical foundations of mathematics. In particular we look at a bulwark notio

From playlist Sociology and Pure Mathematics

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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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What is Statistics?

This branch of math can help you to organize and interpret information. It’s used in a variety of fields, and it has many applications in daily life. To learn more basic concepts in #statistics, check out the free tutorial on our website: https://edu.gcfglobal.org/en/statistics-basic-conce

From playlist Basic Statistics

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(PP 6.1) Multivariate Gaussian - definition

Introduction to the multivariate Gaussian (or multivariate Normal) distribution.

From playlist Probability Theory

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Statistics and Probability Full Course || Statistics For Data Science

Statistics is the discipline that concerns the collection, organization, analysis, interpretation and presentation of data. In applying #statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied

From playlist Statistics

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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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Logic: The Structure of Reason

As a tool for characterizing rational thought, logic cuts across many philosophical disciplines and lies at the core of mathematics and computer science. Drawing on Aristotle’s Organon, Russell’s Principia Mathematica, and other central works, this program tracks the evolution of logic, be

From playlist Logic & Philosophy of Mathematics

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Adina Roskies - Big Questions in Free Will Project

Free will is a perennial conundrum. The 'Big Questions in Free Will' project brought together scientists, philosophers and theologians in a novel interdisciplinary initiative to develop new data and catalyze innovative ways of thinking. Here are the concluding thoughts of some of the parti

From playlist Understanding Free Will - Closer To Truth - Core Topic

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Creativity, Sadness, & Anxiety | Philosophy Tube

Part 3/3 - Some creative people feel of sadness, anxiety, depression, even Imposter Syndrome. Is there a link between art and sadness, or even mental illness? Is it something in the brain? In the heart? Something to do with Marxist economics and capitalism? Subscribe! http://tinyurl.com/

From playlist What is Creativity?

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Avicenna on Existence (History of Philosophy)

Peter Adamson discusses Avicenna and how he revolutionized metaphysics with groundbreaking ideas about necessity and contingency, and his new distinction between essence and existence. This is an episode of Peter Adamson's podcast on the History of Philosophy from a few years back. For mor

From playlist Shorter Clips & Videos - Philosophy Overdose

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Jonathan Weare (DDMCS@Turing): Stratification for Markov Chain Monte Carlo

Complex models in all areas of science and engineering, and in the social sciences, must be reduced to a relatively small number of variables for practical computation and accurate prediction. In general, it is difficult to identify and parameterize the crucial features that must be incorp

From playlist Data driven modelling of complex systems

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Colin Allen speaks at HathiTrust Research Center Uncamp

“Computational Philosophy and the examined text (a tale of two encyclopedias) (and more)” by Colin Allen was presented at the HathiTrust Research Center Uncamp, held September 10, 2012, in Bloomington, Indiana. The HTRC Uncamp was hosted by the Data to Insight Center (D2I), led by IU Scho

From playlist Data to Insight Center (D2I)

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SDS 581: Bayesian, Frequentist, and Fiducial Statistics in Data Science — with Xiao-Li Meng

#BayesianStatistics #FiducialStatistics #FrequentistStatistics In this episode founding Editor-in-Chief of the Harvard Data Science Review and Professor of Statistics at Harvard University, Prof. Xiao-Li Meng, joins Jon Krohn to dive into data trade-offs that abound, and shares his view o

From playlist Super Data Science Podcast

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Statistical Rethinking - Lecture 01

The Golem of Prague / Small World and Large Worlds: Chapters 1 and 2 of 'Statistical Rethinking: A Bayesian Course with R Examples'.

From playlist Statistical Rethinking Winter 2015

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What Happens in a Philosopher's Brain? | Philosophy Tube

What is bias? How does your brain affect free will, argument, and thinking? Let's look at "Thinking, Fast and Slow" by Daniel Kahnemann - if we want to study philosophy we need to know a bit about brains, biology, and psychology too! Subscribe! http://tinyurl.com/pr99a46 Patreon: http:/

From playlist KNOWLEDGE, LOGIC, & RELIGION

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Causality: From Aristotle to Zebrafish - Frederick Eberhardt - 10/16/2019

Earnest C. Watson Lecture by Professor Frederick Eberhardt, "Causality: From Aristotle to Zebrafish." What causes what? If correlation does not equal causation, then how can we untangle the “why” behind processes that regulate the brain, the climate, or the economy? And how does this appl

From playlist Caltech Watson Lecture Series

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Statistics Lecture 8.2: An Introduction to Hypothesis Testing

https://www.patreon.com/ProfessorLeonard Statistics Lecture 8.2: An Introduction to Hypothesis Testing

From playlist Statistics (Full Length Videos)

Related pages

Statistical inference | Parametric statistics | Data transformation (statistics) | History of statistics | Correlation | Foundations of statistics | Causality | Model selection | Nonparametric statistics | Statistics | Probability distribution | Bayesian inference | Inductive reasoning | Utility