Formal languages | Combinatorics on words
In combinatorics, a branch of mathematics, the autocorrelation of a word is the set of periods of this word. More precisely, it is a sequence of values which indicate how much the end of a word looks likes the beginning of a word. This value can be used to compute, for example, the average value of the first occurrence of this word in a random string. (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)
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]
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 does it mean to be a "Linear" Differential Equation?
This video explores what it means for a differential equation to be linear. Specifically we discuss the importance of linear superposition and give examples of linear and nonlinear operators and differential equations. Playlist: https://www.youtube.com/playlist?list=PLMrJAkhIeNNTYaOnVI3
From playlist Engineering Math: Differential Equations and Dynamical Systems
Definition of a Surjective Function and a Function that is NOT Surjective
We define what it means for a function to be surjective and explain the intuition behind the definition. We then do an example where we show a function is not surjective. Surjective functions are also called onto functions. Useful Math Supplies https://amzn.to/3Y5TGcv My Recording Gear ht
From playlist Injective, Surjective, and Bijective Functions
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
Definition of an Injective Function and Sample Proof
We define what it means for a function to be injective and do a simple proof where we show a specific function is injective. Injective functions are also called one-to-one functions. Useful Math Supplies https://amzn.to/3Y5TGcv My Recording Gear https://amzn.to/3BFvcxp (these are my affil
From playlist Injective, Surjective, and Bijective Functions
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
Excel Quick Tip: A Shortcut to AutoSum
In this video, you’ll learn a shortcut to using AutoSum in Excel. Visit https://www.gcflearnfree.org/excel-tips/a-shortcut-to-autosum/1/ to learn more. We hope you enjoy!
From playlist Microsoft Excel
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
The Definition of a Linear Equation in Two Variables
This video defines a linear equation in to variables and provides examples of the different forms of linear equations. http://mathispower4u.com
From playlist The Coordinate Plane, Plotting Points, and Solutions to Linear Equations in Two Variables
Time Series class: Part 1 - Dr Ioannis Papastathopoulos, University of Edinburgh
Part 2: https://youtu.be/7n0HTtThMe0 Introduction: Moving average, Autoregressive and ARMA models. Parameter estimation, likelihood based inference and forecasting with time series. Advanced: State-space models (hidden Markov models, Kalman filter) and applications. Recurrent neural netw
From playlist Data science classes
Random Walk and Time Series Tutorial in R: ACF Dickey Fuller Test Ljung Box stationarity correlation
what is a random walk in time series? How to determinte if my data is a random walk? how to test stationarity? In this episode of the crash course - tutorial on statistics and data science with R / Rstudio: - Characteristics of a random walk - How to test my time series behaviour in R?
From playlist machine learning
Speech and Audio Processing 2: Speech Analysis - Professor E. Ambikairajah
Speech and Audio Processing - Lecture notes available from: http://eemedia.ee.unsw.edu.au/contents/elec9344/LectureNotes/
From playlist ELEC9344 Speech and Audio Processing by Prof. Ambikairajah
Regression assumptions explained!
See all my videos at http://www.zstatistics.com/ See the whole regression series here: https://www.youtube.com/playlist?list=PLTNMv857s9WUI1Nz4SssXDKAELESXz-bi 0:00 Introduction 8:08 Linearity (correct functional form) 14:10 Constant error variance (homoskedasticity) 19:18 Independent e
From playlist Regression series (10 videos)
Deep Learning Lecture 7.4 - VAMPnet
Learning Slow Manifolds with Markovian methods - variational approach for Markov processes (VAMP) - VAMPnet
From playlist Deep Learning Lecture
Examining Ecosystem Resilience of Forests in Northeast India...by Krishnapriya Tamma
PROGRAM TIPPING POINTS IN COMPLEX SYSTEMS (HYBRID) ORGANIZERS: Partha Sharathi Dutta (IIT Ropar, India), Vishwesha Guttal (IISc, India), Mohit Kumar Jolly (IISc, India) and Sudipta Kumar Sinha (IIT Ropar, India) DATE: 19 September 2022 to 30 September 2022 VENUE: Ramanujan Lecture Hall an
From playlist TIPPING POINTS IN COMPLEX SYSTEMS (HYBRID, 2022)
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
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