Stochastic processes

Intensity of counting processes

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).

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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)

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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)

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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)

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Interval of Convergence (silent)

Finding the interval of convergence for power series

From playlist 242 spring 2012 exam 3

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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

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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

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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

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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

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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

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Spatial Point Data Analysis

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

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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

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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

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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

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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)

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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)

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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

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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

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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

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Cumulative Frequency (1 of 2: Basic calculations)

More resources available at www.misterwootube.com

From playlist Descriptive Statistics & Bivariate Data Analysis

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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

Related pages

Counting process | Linear regression | Stochastic process | Estimator | Independent and identically distributed random variables