The intensity of a counting process is a measure of the rate of change of its predictable part. If a stochastic process is a counting process, then it is a submartingale, and in particular its Doob-Meyer decomposition is where is a martingale and is a predictable increasing process. is called the cumulative intensity of and it is related to by . (Wikipedia).
Stars and Bars: The Number of Integer Solutions to w+x+y+z=25 with Different Lower Bounds
This video explains how to use the stars and bars method of counting to solving a counting problem. mathispower4u.com
From playlist Counting (Discrete Math)
Stars and Bars: Number of Discrete Functions, Increasing Functions, and Nondecreasing Functions
This video explains how to use the stars and bars method of counting to solving a counting problem. mathispower4u.com
From playlist Counting (Discrete Math)
Algebraic and Combinatorial Proofs: C(n,k)=C(n,n-k)
This video provides an algebraic proof and three combinatorial proofs for a binomial identity.
From playlist Counting (Discrete Math)
Interval of Convergence (silent)
Finding the interval of convergence for power series
From playlist 242 spring 2012 exam 3
The Meaning of Numbers – Continuous (Scale) Data (1-3)
Numbers can do many functions. Some numbers stand in for names or create categories (nominal & ordinal). Other numbers quantify amounts and measurements (interval & ratio). We continue our exploration of numbers with scale data: interval and ratio. You will learn the subtle distinctions be
From playlist WK1 Numbers and Variables - Online Statistics for the Flipped Classroom
Statistics 5_1 Confidence Intervals
In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.
From playlist Medical Statistics
Statistics: Introduction (10 of 13) Variability
Visit http://ilectureonline.com for more math and science lectures! We will discuss variability: The accuracy of statistical results depend on the (sources of) variability of the collected data. To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 . Next
From playlist STATISTICS CH 1 INTRODUCTION
Wilhem Stannat - Fluctuation limits for mean-field interacting nonlinear Hawkes processes
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From playlist Workshop "Workshop on Mathematical Modeling and Statistical Analysis in Neuroscience" - January 31st - February 4th, 2022
Anne Leucht: Mixing properties of (non-)stationary INGARCH(1,1) processes
CONFERENCE Recording during the thematic meeting : "Adaptive and High-Dimensional Spatio-Temporal Methods for Forecasting " the September 27, 2022 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks
From playlist Probability and Statistics
To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technologyconference/ Speaker: Gosia Konwerska Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, an
From playlist Wolfram Technology Conference 2017
Henrik Hult: Power-laws and weak convergence of the Kingman coalescent
The Kingman coalescent is a fundamental process in population genetics modelling the ancestry of a sample of individuals backwards in time. In this paper, weak convergence is proved for a sequence of Markov chains consisting of two components related to the Kingman coalescent, under a pare
From playlist Probability and Statistics
Rolf Schneider: Hyperplane tessellations in Euclidean and spherical spaces
Abstract: Random mosaics generated by stationary Poisson hyperplane processes in Euclidean space are a much studied object of Stochastic Geometry, and their typical cells or zero cells belong to the most prominent models of random polytopes. After a brief review, we turn to analogues in sp
From playlist Probability and Statistics
Live CEOing Ep 397: Spatial Statistics Design Review for Wolfram Language
In this episode of Live CEOing, Stephen Wolfram reviews the design of upcoming spatial statistics functionality for the Wolfram Language. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channe
From playlist Behind the Scenes in Real-Life Software Design
Counting: Find the Number of 5-Digit Numbers Under Various Conditions
This video explains how to determine how many 5-digit numbers are possible under various conditions.
From playlist Counting (Discrete Math)
Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion
https://www.patreon.com/ProfessorLeonard Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion
From playlist Statistics (Full Length Videos)
Spatial Point Data and Processes
To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Gosia Konwerska & Eduardo Serna Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, m
From playlist Wolfram Technology Conference 2018
Measurement signals, quantum correlation functions (...) - K. Mølmer - PRACQSYS 2018 - CEB T2 2018
Klaus Mølmer (University of Aarhus, Denmark) / 03.07.2018 Measurement signals, quantum correlation functions and quantum trajectories Noise correlations in experiments played a pertinent role in the establishment of the non-classical properties of light. Glauber’s theory of photodetectio
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
Statistics in cyber-security: Dr Nick Heard, Imperial College London
Abstract: Data science techniques have an important role to play in the next generation of cyber-security defences. Inside a typical enterprise computer network, a number of high-volume data sources are available which could aid the discovery and prevention of cyber-attacks and network mi
From playlist Data-Centric Engineering Seminar Series
Cumulative Frequency (1 of 2: Basic calculations)
More resources available at www.misterwootube.com
From playlist Descriptive Statistics & Bivariate Data Analysis
Daniel Hug: Random tessellations in hyperbolic space - first steps
Random tessellations in Euclidean space are a classical topic and highly relevant for many applications. Poisson hyperplane tessellations present a particular model for which mean values and variances for functionals of interest have been studied successfully and a central limit theory has
From playlist Trimester Seminar Series on the Interplay between High-Dimensional Geometry and Probability