What is the difference between theoretical and experimental physics?
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From playlist Science Unplugged: Physics
http://www.teachastronomy.com/ Science is and must be objective. It must be based on observational data and experimentation. The results must be published so that other people can check or confirm or independently measure the same things. Science depends on this, but there is a social e
From playlist 01. Fundamentals of Science and Astronomy
A short a cappella tribute to experimentalists. It is sung while performing three simple experiments with household items: Mentos dropped in diet Coke, a tea bag emptied and burned, and a ping pong ball floating in the air stream of a hair dryer.
From playlist Science Experiments!
14 Data Analytics: Indicator Methods
Lecture on the use of indicators for spatial estimation and simulation.
From playlist Data Analytics and Geostatistics
What is a hypothesis test? The meaning of the null and alternate hypothesis, with examples. Overview of test statistics and confidence levels.
From playlist Hypothesis Tests and Critical Values
Statistics: Introduction to Experiments and Confounding
This lesson introduces experiments and confounding. Site: http://mathispower4u.com
From playlist Introduction to Statistics
An introduction to multilevel Monte Carlo methods – Michael Giles – ICM2018
Numerical Analysis and Scientific Computing Invited Lecture 15.7 An introduction to multilevel Monte Carlo methods Michael Giles Abstract: In recent years there has been very substantial growth in stochastic modelling in many application areas, and this has led to much greater use of Mon
From playlist Numerical Analysis and Scientific Computing
Teach Astronomy - The Scientific Method
http://www.teachastronomy.com/ The scientific method is a way of gaining knowledge about the world we live in. Science starts with curiosity about nature, observing the world, but there is a method to science, a way that distinguishes it from other modes of thought. Science is based upon
From playlist 01. Fundamentals of Science and Astronomy
Jean-Pierre Florens: Inverse problems in econometrics - Lecture 1/4
Recording during the thematic month on statistics - Week 2 : "Mathematical statistics and inverse problems" the 9 February, 2016 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide
From playlist Probability and Statistics
Hypothesis Testing - Video Lecture 08
Our scientific method, the steps that we follow to understand our world through research, is based on the process of hypothesis testing. You can watch the video lecture or read the PDF to learn more. There is no exercise file for this module.
From playlist Data Science @ Stellenbosch University
Simulating the economy as we simulate the climate... - Pollitt - Workshop 3 - CEB T3 2019
Pollitt (Cambridge Econometrics) / 04.12.2019 Simulating the economy as we simulate the climate: why most economists get it wrong ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/I
From playlist 2019 - T3 - The Mathematics of Climate and the Environment
Sylvia Frühwirth-Schnatter: Bayesian econometrics in the Big Data Era
Abstract: Data mining methods based on finite mixture models are quite common in many areas of applied science, such as marketing, to segment data and to identify subgroups with specific features. Recent work shows that these methods are also useful in micro econometrics to analyze the beh
From playlist Probability and Statistics
Multi-Dimensional Robust Synthetic Control: Exploring Counterfactuals and... by Devavrat Shah
PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear
From playlist Advances in Applied Probability 2019
Machine Learning and Economics: An Introduction
Professor Susan Athey presents a high-level overview contrasting traditional econometrics with off-the-shelf machine learning.
From playlist Machine Learning & Causal Inference: A Short Course
Applied Machine Learning: Introduction
Professor Jann Spiess presents an introduction to applied machine learning.
From playlist Machine Learning & Causal Inference: A Short Course
Jean-Pierre Florens: Inverse problems in econometrics - Lecture 4/4
Recording during the thematic month on statistics - Week 2 : "Mathematical statistics and inverse problems" the 10 February, 2016 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide
From playlist Probability and Statistics
Data Science - Part XVI - Fourier Analysis
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of the Fourier Analysis and the Fourier Transform as applied in Machine Learnin
From playlist Data Science
Jean-Pierre Florens: Inverse problems in econometrics - Lecture 2/4
Recording during the thematic month on statistics - Week 2 : "Mathematical statistics and inverse problems" the 9 February, 2016 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide
From playlist Probability and Statistics
FRM Part 1 Focus Review: 2nd of 8 (Quantitative)
This is a sample of our 2012 FRM Part 1 Focus Review: 2nd of 8 (Quantitative) video tutorial. For more financial risk management videos, visit our website! http://www.bionicturtle.com
From playlist FRM
Why You Should Never Say "It's Just A Theory"
A portion of our culture distrusts the scientific method, assuming that there are transcendent truths unknowable by science. But nothing is truly out of bounds for science. If it's real, it can be studied, and tested. Perhaps the greatest misunderstanding our culture has about the scientif
From playlist Science for Common Folk