In probability theory, an excursion probability is the probability that a stochastic process surpasses a given value in a fixed time period. It is the probability Numerous approximation methods for the situation where u is large and f(t) is a Gaussian process have been proposed such as Rice's formula. First-excursion probabilities can be used to describe deflection to a critical point experienced by structures during "random loadings, such as earthquakes, strong gusts, hurricanes, etc." (Wikipedia).
How to find the probability of consecutive events
π Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring
From playlist Probability
Finding the conditional probability from a tree diagram
π Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring
From playlist Probability
Finding the conditional probability from a two way frequency table
π Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring
From playlist Probability
Learn to find the or probability from a tree diagram
π Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring
From playlist Probability
How to find the conditional probability from a tree diagram
π Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring
From playlist Probability
Using a tree diagram to find the conditional probability
π Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring
From playlist Probability
Using a contingency table to find the conditional probability
π Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring
From playlist Probability
UNIFORM Probability Distribution for Continuous Random Variables (10-2)
The Uniform Distribution models events or intervals that are equally likely to occur, such as the time spent waiting for a shuttle to arrive. The probability equals the area under the graph of f(x); the height of f(x) is a constant. At his private island, Ted runs a shuttle service tenderi
From playlist Continuous Probability Distributions in Statistics (WK 10 - QBA 237)
Determining the conditional probability from a contingency table
π Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring
From playlist Probability
Large deviations for the Wiener Sausage (Lecture 2) by Frank den Hollander
Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst
From playlist Large deviation theory in statistical physics: Recent advances and future challenges
Christina Goldschmidt: Scaling limits of random trees and graphs - Lecture 1
HYBRID EVENT HYBRID EVENT In the last 30 years, random combinatorial structures and their scaling limits have formed a flourishing area of research at the interface between probability and combinatorics. In this mini-course, I aim to show some of the beautiful theory that arises when consi
From playlist Probability and Statistics
From playlist Contributed talks One World Symposium 2020
Yuval Peres: Self-interacting walks and uniform spanning forests
Abstract: In the first half of the talk, I will survey results and open problems on transience of self-interacting martingales. In particular, I will describe joint works with S. Popov, P. Sousi, R. Eldan and F. Nazarov on the tradeoff between the ambient dimension and the number of differ
From playlist Probability and Statistics
Christina Goldschmidt: Scaling limits of random trees and graphs - Lecture 2
HYBRID EVENT In the last 30 years, random combinatorial structures and their scaling limits have formed a flourishing area of research at the interface between probability and combinatorics. In this mini-course, I aim to show some of the beautiful theory that arises when considering scalin
From playlist Probability and Statistics
Philippe Flajolet, founder of Analytic Combinatorics (2012)
January 16, 2012 (09:15 AM PST - 10:15 AM PST) Speaker(s): Mireille Bousquet-Melou (UniversitΓ© de Bordeaux I) Analytic combinatorics is a modern basis for the quantitative study of combinatorial structures (such as words, trees, paths, graphs...), with applications to the study of their
From playlist Mathematics
Stratified micro-randomized trials with applications in mobile health
Distinguished Visitor Lecture Series Stratified Micro-randomized Trials with Applications in Mobile Health Susan A Murphy Harvard University, USA
From playlist Distinguished Visitors Lecture Series
Shirshendu Ganguly (Berkeley) -- Stability and chaos in dynamical last passage percolation (Part 2)
Many complex disordered systems in statistical mechanics are characterized by intricate energy landscapes. The ground state, the configuration with lowest energy, lies at the base of the deepest valley. In important examples, such as Gaussian polymers and spin glass models, the landscape h
From playlist Integrable Probability Working Group
Marni Mishna: The classification of excursions
Abstract: Excursions are walks which start and end at prescribed locations. In this talk we consider the counting sequences of excursions, more precisely, the functional equations their generating functions satisfy. We focus on two sources of excursion problems: walks defined by their allo
From playlist Combinatorics
How to find the conditional probability from a contingency table
π Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring
From playlist Probability
Magnetic Cataclysm 42000 Years Ago May Have Caused Extinction
I wrote a foreword for this awesome Sci-Fi book here: https://amzn.to/3aGrg0I Get a Wonderful Person shirt: https://teespring.com/stores/whatdamath Alternatively, PayPal donations can be sent here: paypal.me/whatdamath Hello and welcome! My name is Anton and in this video, we will talk ab
From playlist Amazing Planet Earth