Statistical forecasting | Survey methodology | Regression with time series structure

Political forecasting

Political forecasting aims at forecasting the outcomes of political events. Political events can be a number of events such as diplomatic decisions, actions by political leaders and other areas relating to politicians and political institutions. The area of political forecasting concerning elections is highly popular, especially amongst mass market audiences. Political forecasting methodology makes frequent use of mathematics, statistics and data science. Political forecasting as it pertains to elections is related to psephology. (Wikipedia).

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Time Series Forecasting on Stock Prices

Watch this talk to learn how to set up a process for stock price forecasting using Python and Machine Learning. PUBLICATION PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=72g4V6Ucnlc

From playlist Python

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A solar system, a simulation made with Excel

An Excel simulation of the solar system. You can see how things are recursively computed: the mutual gravity force from the locations, the accelerations, the velocities, and finally the updated locations. The solar eclipse is also shown. This is clip is intended to illustrate Chapter 24 Ap

From playlist Physics simulations

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Panel: Data Sciences for Climate and Environment

You can view the full event here: https://www.youtube.com/playlist?list=PLuD_SqLtxSdUVT_2SSPzZSC__kAxpkm8w This is a a video of the Data Sciences for Climate and Environment panel discussion. This segment involved all of the featured speakers and concluded the event. About the event Col

From playlist Data Sciences for Climate and Environment

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Stock Market Predictions : Python for Finance 10

In previous videos we made a wonderful investment portfolio and now we will use regression analysis to make stock market predictions about the future performance of our portfolio. I’ll be using the ARIMA model for making stock market predictions in this video. It focuses on trying to fit

From playlist Python for Finance

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Vertical distribution of Clouds over the Indian Monsoon Region - M. Rajeevan

Vertical distribution of Clouds over the Indian Monsoon Region and its relationship with Cloud Radiative forcing and sea surface temperatures M. Rajeevan, MoES, New Delhi. DISCUSSION MEETING: MATHEMATICAL PERSPECTIVES ON CLOUDS, CLIMATE, AND TROPICAL METEOROLOGY TUESDAY, 22 JANUARY, 201

From playlist Mathematical Perspectives on Clouds, Climate, and Tropical Meteorology

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Forecast Sales Performance in Excel

If you like this video, drop a comment, give it a thumbs up and consider subscribing here: https://www.youtube.com/c/HowToBeAnAdult?sub_confirmation=1 Music from: YouTube Audio Library Check out our new project: https://magnimetrics.com Automated Financial Analysis. Reinvented. Follow m

From playlist Excel Tutorials

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Excel Forecast Function Explained!

This excel video tutorial provides a basic introduction into the forecast function which can be used to predict a y value given an x value. It could be used to predict the population at a certain year, the value of a car at a given time, or the estimated sales forecast in the future. My

From playlist Excel Tutorial

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Stanford Seminar - How to Make Better Forecasts

"How to make better forecasts" - Lyle Ungar of University of Pennsylvania About the talk: We report the results of a four year experiment in which over twenty thousand volunteers made predictions about hundreds of real world geopolitical events in dozens of carefully controlled experiment

From playlist Engineering

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Stanford Seminar - How can we understand and evaluate election forecasts, given that N=15 (or less)?

Andrew Gelman Columbia University October 26, 2020 View the full playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu

From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series

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SICSS 2017 - Guest Lecture by Gary King (Day 2. June 20, 2017)

The first Summer Institute in Computational Social Science was held at Princeton University from June 18 to July 1, 2017, sponsored by the Russell Sage Foundation. For more details, please visit https://compsocialscience.github.io/summer-institute/2017/

From playlist Guest Speakers

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ISPS MIDTERM 2014: Expert Perspectives and Predictions

Join two of Yale's top election experts, David Mayhew and Eitan Hersh, and Senior Data Scientist for The Huffington Post, Natalie Jackson, for a moderated discussion of what to expect on Election Day 2014 and beyond. ISPS Director, Jacob Hacker, moderates this special event hosted by the Y

From playlist The Institution for Social and Policy Studies (ISPS)

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Could Scientists Predict the Next Political Crisis?

Thanks to modern science and technology, we can predict what the weather will be like in 5 days, but it’s still a bit more challenging to predict what will happen to us and our societies. Hosted by: Hank Green Head to https://scishowfinds.com/ for hand selected artifacts of the universe!

From playlist Uploads

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Stanford Seminar - Combining Physical and Statistical Models in Projected Global Warming

EE380: Computer Systems Colloquium Seminar Combining Physical and Statistical Models in Order to Narrow Uncertainty in Projected of Global Warming Speaker: Patrick Brown, Carnegie Institution for Science at Stanford A key question in climate science is How much global warming should we e

From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series

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Stanford Webinar - Forecasting Innovation: What Drives the Future

In this Innovation Masters Series webinar, look at one element of forecasting - determining the "forces" that drive innovation. Join Bill Burnett, consulting assistant professor of Mechanical Engineering and executive director of the Stanford Design Program, and Cynthia Benjamin, Mechanica

From playlist Stanford Webinars

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17. (Yesterday's &) Today's Electric Power System

MIT 15.031J Energy Decisions, Markets, and Policies, Spring 2012 View the complete course: http://ocw.mit.edu/15-031JS12 Instructor: Richard Schmalensee License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 15.031J Energy Decisions, Markets, Policies, Spring 2012

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"EnergyFuture2030" Scenarios for World Energy, Keynote Speaker

Niel Golightly, Vice President External Affairs, Americas at Shell Oil Company, gives the keynote speech at the Yale Climate and Energy Institute's 5th Annual Conference, "EnergyFuture2030". YCEI's Fifth Annual Conference focused on the energy mix for the next 15 years and honored IPCC Cha

From playlist EnergyFuture 2030: YCEI's 5th Annual Conference

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'Superforecasting': The people that predict the future – BBC REEL

The power to predict the future is often the stuff of myths and superstition. But according to the Good Judgement project by the American psychologist and political scientist, Philip Tetlock, the ability to predict the future is a skill that can be learned and developed. He has spent 40 ye

From playlist Reel Science

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Time Series Forecasting in Minutes

In this Data Science in Minutes, we will describe what time series forecasting is, and provide several examples of when you can use time series for your data. Time series forecasting is looking at data over time to forecast or predict what will happen in the next time period, based on patt

From playlist Data Science in Minutes

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Science & Technology Q&A for Kids (and others) [Part 45]

Stephen Wolfram hosts a live and unscripted Ask Me Anything about science and technology for all ages. Find the playlist of Q&A's here: https://wolfr.am/youtube-sw-qa Originally livestreamed at: https://twitch.tv/stephen_wolfram Outline of Q&A 0:00 Stream starts 2:06 Stephen begins the s

From playlist Stephen Wolfram Ask Me Anything About Science & Technology

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Regression analysis | Electoral Calculus | Opinion poll | Prediction market | Forecasting