Evaluating Time Series Models : Time Series Talk
How do we evaluate our time series models? How can we tell if one model is better than another?
From playlist Time Series Analysis
Time Series Talk : Lag Operator
Intro to the lag operator in time series analysis.
From playlist Time Series Analysis
Time Series Analysis In R | Data Science With R Tutorial
This video talks about, how to use the R statistical software to carry out some simple analyses that are common in analysing time series data. This video tells you how to carry out these analyses using R, rather explaining time series analysis. Here are some important things to know about
Why Are Time Series Special? : Time Series Talk
So ... what's so special about time series?
From playlist Time Series Analysis
Time Series Talk : Stationarity
Intro to stationarity in time series analysis My Patreon : https://www.patreon.com/user?u=49277905
From playlist Time Series Analysis
Full Time Series Example : Time Series Talk
A fully worked time series analysis example: - Induce Stationarity - Fit Model - Make Predictions - Recover Original Series Code used in this video: https://github.com/ritvikmath/Time-Series-Analysis/blob/master/Undo%20Stationary%20Transformations.ipynb Data used in this video: https://g
From playlist Time Series Analysis
Time Series Analysis Visualizations
In this video I'll cover Time Series Visualizations available using Matplotlib, Seaborn and Plotly. I'll cover numerous ways to style charts. Files on GitHub : https://github.com/derekbanas/TimeSeriesAnalysis DO YOU WANT TO MASTER DATA SCIENCE? I have additional videos on Time Series Ana
From playlist Time Series Analysis
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
Analysis and Reporting Module 4a: The Review Process
This episode is part of Healthcare Triage’s series on Improving Reproducibility in Research. The Introduction to the series is here: https://www.youtube.com/watch?v=EvoVb_QLRK8 A blog post with more information on the series is here: http://theincidentaleconomist.com/wordpress/improving-re
From playlist Analysis and Reporting
Colloque d'histoire des sciences "Gaston Darboux (1842 - 1917)" - Hélène Gispert - 17/11/17
En partenariat avec le séminaire d’histoire des mathématiques de l’IHP Darboux c’est aussi le nom d’un journal : le Bulletin des sciences mathématiques (1869-1917) Hélène Gispert, GHDSO, Université Paris-Sud 11 À l’occasion du centenaire de la mort de Gaston Darboux, l’Institut Henri Poi
From playlist Colloque d'histoire des sciences "Gaston Darboux (1842 - 1917)" - 17/11/2017
Scientometrics analysis 1: Creating datasets from the Web of Science
In this video, i demonstrate how to create a dataset from the Web of Science. This dataset will be used for Scientometrics analysis. The software that will be demonstrated in this series of videos is CiteSpace.
From playlist Scientometrics & Bibliometrics
Fundamentals of Qualitative Research Methods: Scientific Rigor (Module 6)
Qualitative research is a strategy for systematic collection, organization, and interpretation of phenomena that are difficult to measure quantitatively. Dr. Leslie Curry leads us through six modules covering essential topics in qualitative research, including what it is qualitative resear
From playlist Fundamentals of Qualitative Research Methods
MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: http://ocw.mit.edu/18-S096F13 Instructor: Peter Kempthorne This is the second of three lectures introducing the topic of time series analysis, describing multivariate time series, represent
From playlist MIT 18.S096 Topics in Mathematics w Applications in Finance
Kaggle Live-Coding: Reproducing Research Project (part 1) | Kaggle
Join Kaggle Data Scientist Rachael as she works on reproducing the figures and analysis from a research paper. You can read the paper here: https://econjwatch.org/articles/shy-of-the-character-limit-twitter-mood-predicts-the-stock-market-revisited The paper Github repo is here: https://g
From playlist Kaggle Live Coding | Kaggle
This is a Totally Reputable Journal
In this video, I expose a really bad article from a really bad journal. (This is a reupload from the old channel). https://www.patreon.com/thatchemist Community Discord: https://discord.gg/QWNPETtPcZ ---------------------------------------------------------------------------------------
From playlist Toxic
Analysis and Reporting 1a: Introduction
This episode is part of Healthcare Triage’s series on Improving Reproducibility in Research. The Introduction to the series is here: https://www.youtube.com/watch?v=EvoVb_QLRK8 A blog post with more information on the series is here: http://theincidentaleconomist.com/wordpress/improving-re
From playlist Analysis and Reporting
Data Driven #3: Car Data as Sensor of Institutions
Journalists Robert Benincasa of NPR, Paul Ingrassia of Reuters, Danielle Ivory of The New York Times, John Maines of the Florida Sun-Sentinel, Michael Morisy of MuckRock, Maurice Tamman of Reuters and Cheryl Phillips of the Stanford Computational Journalism Lab discuss the process of acces
From playlist Data Driven 2015
Data Driven Methods for Complex Turbulent Systems ( 3 ) - Andrew J. Majda
Lecture 3: Data Driven Methods for Complex Turbulent Systems Abstract: An important contemporary research topic is the development of physics constrained data driven methods for complex, large-dimensional turbulent systems such as the equations for climate change science. Three new approa
From playlist Mathematical Perspectives on Clouds, Climate, and Tropical Meteorology
Lennart Carleson - The Abel Prize interview 2006
0:00 Glimpses of the Abel Prize ceremony made for Norwegian television 05:00 Interview proper starts (Norwegian) 07:46 (English) Almost-everywhere convergence of Fourier series for square-integrable (L^2) functions 10:08 Interesting example of need to have conviction about outcome before c
From playlist The Abel Prize Interviews
MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: http://ocw.mit.edu/18-S096F13 Instructor: Peter Kempthorne This is the first of three lectures introducing the topic of time series analysis, describing stochastic processes by applying reg
From playlist MIT 18.S096 Topics in Mathematics w Applications in Finance