Autocorrelation | Time domain analysis | Signal processing
Autocorrelation, sometimes known as serial correlation in the discrete time case, is the correlation of a signal with a delayed copy of itself as a function of delay. Informally, it is the similarity between observations of a random variable as a function of the time lag between them. The analysis of autocorrelation is a mathematical tool for finding repeating patterns, such as the presence of a periodic signal obscured by noise, or identifying the missing fundamental frequency in a signal implied by its harmonic frequencies. It is often used in signal processing for analyzing functions or series of values, such as time domain signals. Different fields of study define autocorrelation differently, and not all of these definitions are equivalent. In some fields, the term is used interchangeably with autocovariance. Unit root processes, trend-stationary processes, autoregressive processes, and moving average processes are specific forms of processes with autocorrelation. (Wikipedia).
What is autocorrelation? Extensive video!
See all my videos at http://www.zstatistics.com/videos/ 0:00 Introduction and overview 1:40 What is autocorrelation 4:08 Common causes 10:18 Impacts on regression 13:57 Diagnosis I: Durbin-Watson test 21:47 Diagnosis II: Breusch-Godfrey test 26:28 Remedies 27:30 Generalised Difference Equ
From playlist Regression series (10 videos)
Time Series Talk : Autoregressive Model
Gentle intro to the AR model in Time Series Forecasting My Patreon : https://www.patreon.com/user?u=49277905
From playlist Time Series Analysis
What is autocorrelation (and how does it impact scaled volatility)? FRM T1-4
Autocorrelation is a correlation of variable (eg, returns) with itself over time; it is a violation of returns. Positive autocorrelation increases scaled volatility, while negative autocorrelation (aka, mean reversion) decreases scaled volatility. [Here is the XLS http://trtl.bz/2wSpHrG]
From playlist Risk Foundations (FRM Topic 1)
Autofill In Excel Explained | How to Use AutoFill in Excel? | Excel For Beginners | Simplilearn
Autofill in excel is used to fill series of data in excel. this excel tutorial will help the learners with the excel spreadsheet fundamentals and explain how to automatically fill a series in excel with theorotical and practical demonstration for a better learning experience. This tutorial
From playlist Microsoft Excel Tutorial Videos 🔥[2022 Updated]
Part of the End-to-End Machine Learning School Course 212, Time-series Analysis at https://e2eml.school/212 To use autocorrelation in a weather prediction model, check out the Time-Series Analysis project course: https://end-to-end-machine-learning.teachable.com/p/time-series-analysis-wea
From playlist E2EML 191. How Selected Models and Methods Work
Reliability 1: External reliability and rater reliability and agreement
In this video, I discuss external reliability, inter- and intra-rater reliability, and rater agreement.
From playlist Reliability analysis
Torque Converter, How does it work?
Most of us enjoy the smooth and effortless feeling of driving in an automatic transmission car. The driving is effortless because you don’t need to worry about gear changing and you don’t have a clutch pedal to operate. In an automatic transmission car the work, of the clutch pedal, is aut
From playlist Automobile Engineering
The Autonomic Nervous System: Sympathetic and Parasympathetic Divisions
We've learned quite a bit about the peripheral nervous system, which has a sensory division and a motor division. The latter is the one that tells the body what to do, and this is divided into the somatic nervous system, which involves voluntary motion, and the autonomic nervous system, wh
From playlist Anatomy & Physiology
Stanford engineers design video game controller that can read players' emotions
Stanford engineers have developed what could be the next big thing in interactive gaming: handheld game controllers that measure the player's physiology and alter the gameplay to make it more engaging.
From playlist Stanford Highlights
Mod-12 Lec-34 Regression Models with Autocorrelated Errors (Contd.)
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics
Lec 35 | MIT 5.80 Small-Molecule Spectroscopy and Dynamics, Fall 2008
Lecture 35: Wavepacket dynamics II Instructor: Robert Field View the complete course: http://ocw.mit.edu/5-80F08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 5.80 Small-Molecule Spectroscopy and Dynamics, Fall 2008
13 Machine Learning: Time Series Analysis
A lecture on working with time series data, including the topics of stationarity, autocorrelation, Hurst exponent, trends, seasonality and noise! Follow along with the demonstration workflow: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/SubsurfaceDataAnalytics_TimeSerie
From playlist Machine Learning
Random Processes and Stationarity
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Introduction to describing random processes using first and second moments (mean and autocorrelation/autocovariance). Definition of a stationa
From playlist Random Signal Characterization
Lecture 15 - ARIMA & GARCH Models
This is Lecture 15 of the COMP510 (Computational Finance) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Hong Kong University of Science and Technology in 2008. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/computationalfinance/pd
From playlist COMP510 - Computational Finance - 2007 HKUST
Time Series Analysis - 2 | Time Series in R | ARIMA Model Forecasting | Data Science | Simplilearn
This Time Series Analysis - 2 in R tutorial will help you understand what is ARIMA model forecasting, what is correlation, and auto-correlation. You will also see a use case implementation in which we forecast sales of air tickets using ARIMA. Finally, we will also look at how to validate
From playlist Data Science For Beginners | Data Science Tutorial🔥[2022 Updated]
Welcome to Quantitative Risk Management (QRM). In Lesson 6 we start discussing Time Series (TS) analysis, which we will later combine with EVT. We will answer the following questions: What is a TS? What types of TS can we model? What does stationarity mean? What are the main causes of non
From playlist Quantitative Risk Management
Vector Auto Regression : Time Series Talk
Let's take a look at the basics of the vector auto regression model in time series analysis! --- Like, Subscribe, and Hit that Bell to get all the latest videos from ritvikmath ~ --- Check out my Medium: https://medium.com/@ritvikmathematics
From playlist Time Series Analysis