Probability theory | Statistical approximations

Imprecise probability

Imprecise probability generalizes probability theory to allow for partial probability specifications, and is applicable when information is scarce, vague, or conflicting, in which case a unique probability distribution may be hard to identify. Thereby, the theory aims to represent the available knowledge more accurately. Imprecision is useful for dealing with expert elicitation, because: * People have a limited ability to determine their own subjective probabilities and might find that they can only provide an interval. * As an interval is compatible with a range of opinions, the analysis ought to be more convincing to a range of different people. (Wikipedia).

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Introduction to Probability

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Introduction to Probability

From playlist Statistics

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Statistics: Ch 4 Probability in Statistics (20 of 74) Definition of Probability

Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the “strict” definition of experimental (empirical) and theoretical probability. Next video in this series can be seen

From playlist STATISTICS CH 4 STATISTICS IN PROBABILITY

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How to evaluate the limit of a function by observing its graph

👉 Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val

From playlist Evaluate Limits of Absolute Value

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Using parent graphs to understand the left and right hand limits

👉 Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val

From playlist Evaluate Limits of Absolute Value

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Evaluate the limit for a value of a function

👉 Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val

From playlist Evaluate Limits of Absolute Value

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How to determine when an absolute value inequality has no solution

👉 Learn how to solve multi-step absolute value inequalities. The absolute value of a number is the positive value of the number. For instance, the absolute value of 2 is 2 and the absolute value of -2 is also 2. To solve an absolute value inequality where there are more terms apart from th

From playlist Solve Absolute Value Inequalities | Medium

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Probability of an Impossible Event

What is the probability of an impossible event? Why the probability is zero. Calculating simple events and why zero probability does not alway equal "impossible".

From playlist Probability

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Learn to find the or probability from a tree diagram

👉 Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring

From playlist Probability

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Conceptual understanding of confidence intervals in medical research by Hilary Watt

What are confidence intervals and why do we use them? This video pays great attention to building up a conceptual understanding, with graphs and carefully worded interpretations. This compares to standard teaching methods of confidence intervals, which focus on their definition and method

From playlist Summer of Math Exposition Youtube Videos

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Fast learning of small strategies: Jan Křetínský, Technical University of Munich

In verification, precise analysis is required, but the algorithms usually suffer from scalability issues. In machine learning, scalability is achieved, but with only very weak guarantees. We show how to merge the two philosophies and profit from both. In this talk, we focus on analysing Ma

From playlist Logic and learning workshop

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CS50 2015 - Week 1

Linux. C. Compiling. Libraries. Types. Standard output.

From playlist CS50 Lectures 2015

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My Thoughts on Constructing and Presenting Rigorous Proofs

In this video, I take a look at one of the ways induction proofs are being presented on YouTube. It turns out a lot of them are missing some pretty important details. I discuss what exactly it is they are doing, why I believe it is sloppy and imprecise, and give my general thoughts about r

From playlist Proofs

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Teach Astronomy - Limit to Precision

http://www.teachastronomy.com/ We're used to the idea that scientists can measure quantities more and more accurately with more and more observations or better and better measuring equipment. This is not true in the world of the atom. There's a fundamental limit to the precision with whi

From playlist 06. Optics and Quantum Theory

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Stephen Coombes and Peter Liddle - A neural mass model for abnormal beta-rebound in schizophrenia

---------------------------------- Institut Henri Poincaré, 11 rue Pierre et Marie Curie, 75005 PARIS http://www.ihp.fr/ Rejoingez les réseaux sociaux de l'IHP pour être au courant de nos actualités : - Facebook : https://www.facebook.com/InstitutHenriPoincare/ - Twitter : https://twitter

From playlist Workshop "Workshop on Mathematical Modeling and Statistical Analysis in Neuroscience" - January 31st - February 4th, 2022

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How to find the probability of consecutive events

👉 Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring

From playlist Probability

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30. Immunology 1 – Diversity, Specificity, & B cells

MIT 7.016 Introductory Biology, Fall 2018 Instructor: Adam Martin View the complete course: https://ocw.mit.edu/7-016F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63LmSVIVzy584-ZbjbJ-Y63 Professor Martin introduces the topic of immunity, defined as resistance to d

From playlist MIT 7.016 Introductory Biology, Fall 2018

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Bill Fefferman - On "Experimental" Complexity Theory - IPAM at UCLA

Recorded 23 February 2023. Bill Fefferman of the University of Chicago presents "On "Experimental" Complexity Theory" at IPAM's Winter School on Contemporary Quantum Algorithms and Applications. Learn more online at: http://www.ipam.ucla.edu/programs/special-events-and-conferences/winter-s

From playlist 2023 Winter School on Contemporary Quantum Algorithms and Applications

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Learn how to evaluate left and right hand limits of a function

👉 Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val

From playlist Evaluate Limits of Absolute Value

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