Introduction to the paper https://arxiv.org/abs/2002.06707
From playlist Research
Stochasticity (3), selection versus drift.
This video looks at how the forces of genetic drift and selection work in concert with one another. In particular, it looks at when the forces of selection will be more important than drift in determining the fate of new advantageous or deleterious mutant alleles. The main result is that s
From playlist TAMU: Bio 312 - Evolution | CosmoLearning Biology
IDTIMWYTIM: Stochasticity - THAT'S Random
Hank helps us understand the difference between the colloquial meaning of randomness, and the scientific meaning, which is also known as stochasticity. We will learn how, in fact, randomness is surprisingly predictable. Like SciShow: http://www.facebook.com/scishow Follow SciShow: http://
From playlist Uploads
For those asking me to go through Stoichiometry a bit slower... https://www.youtube.com/playlist?list=PLyuGdIuwJD9G2pZrJmSa57awLilGCyOCZ These are updated videos (currently using for Australian Curriculum) that take you from mass to solution to gas Stoichiometry.
From playlist Topic 1 Stoichiometry - at a slower pace...
STRATIFIED, SYSTEMATIC, and CLUSTER Random Sampling (12-4)
To create a Stratified Random Sample, divide the population into smaller subgroups called strata, then use random sampling within each stratum. Strata are formed based on members’ shared (qualitative) characteristics or attributes. Stratification can be proportionate to the population size
From playlist Sampling Distributions in Statistics (WK 12 - QBA 237)
Hybrid sparse stochastic processes and the resolution of (...) - Unser - Workshop 2 - CEB T1 2019
Michael Unser (EPFL) / 12.03.2019 Hybrid sparse stochastic processes and the resolution of linear inverse problems. Sparse stochastic processes are continuous-domain processes that are specified as solutions of linear stochastic differential equations driven by white Lévy noise. These p
From playlist 2019 - T1 - The Mathematics of Imaging
Silvia Villa - Generalization properties of multiple passes stochastic gradient method
The stochastic gradient method has become an algorithm of choice in machine learning, because of its simplicity and small computational cost, especially when dealing with big data sets. Despite its widespread use, the generalization properties of the variants of stochastic
From playlist Schlumberger workshop - Computational and statistical trade-offs in learning
Lisa Beck: Regularization by noise for the stochastic transport equation
The lecture was held within the of the Hausdorff Junior Trimester Program: Randomness, PDEs and Nonlinear Fluctuations. Abstract: We discuss several aspects of regularity and uniqueness for weak (L∞-) solutions to the (deterministic and stochastic) transport equation du = b · Dudt + σDu
From playlist HIM Lectures: Junior Trimester Program "Randomness, PDEs and Nonlinear Fluctuations"
Maxim Raginsky: "A mean-field theory of lazy training in two-layer neural nets"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop II: PDE and Inverse Problem Methods in Machine Learning "A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics" Maxim Raginsky - University of Illinois at Urbana-Cham
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
Inflation, geometry and stochasticity - S. Renaux-Petel - Workshop 1 - CEB T3 2018
Sebastien Renaux-Petel (IAP) / 18.09.2018 Inflation, geometry and stochasticity ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/InstitutHenriPoincare/ Twitter : https://twitter.com/InHe
From playlist 2018 - T3 - Analytics, Inference, and Computation in Cosmology
Gunther Leobacher: Stochastic Differential Equations
In the second part we show how the classical result can be used also for SDEs with drift that may be discontinuous and diffusion that may be degenerate. In that context I will present a concept of (multidimensional) piecewise Lipschitz drift where the set of discontinuities is a sufficient
From playlist Virtual Conference
"Diffusion Approximation and Sequential Experimentation" by Victor Araman
We consider a Bayesian sequential experimentation problem. We identify environments in which the average number of experiments that is conducted per unit of time is large and the informativeness of each individual experiment is low. Under such regimes, we derive a diffusion approximation f
From playlist Thematic Program on Stochastic Modeling: A Focus on Pricing & Revenue Management
Financial Option Theory with Mathematica -- Basics of SDEs and Option Pricing
This is my first session of my Financial Option Theory with Mathematica track. I provide an introduction to financial options, develop the relevant SDEs (stochastic differential equations), and then apply them to stock price processes and the pricing of (European) options. You can downloa
From playlist Financial Options Theory with Mathematica
problem set with selection by Uma Ramakrishnan
PROGRAM : PREPARATORY SCHOOL ON POPULATION GENETICS AND EVOLUTION ORGANIZERS : Deepa Agashe and Kavita Jain DATE & TIME : 04 February 2019 to 10 February 2019 VENUE :Ramanujan Lecture Hall, ICTS Bangalore The 2019 preparatory school on Population Genetics and Evolution (PGE2019) will be
From playlist Preparatory School on Population Genetics and Evolution
Mutation, Selection and Evolutionary Rescue in Simple Phenotype....(Lecture 1) by Guillaume Martin
PROGRAM FIFTH BANGALORE SCHOOL ON POPULATION GENETICS AND EVOLUTION (ONLINE) ORGANIZERS: Deepa Agashe (NCBS, India) and Kavita Jain (JNCASR, India) DATE: 17 January 2022 to 28 January 2022 VENUE: Online No living organism escapes evolutionary change, and evolutionary biology thus conn
From playlist Fifth Bangalore School on Population Genetics and Evolution (ONLINE) 2022
Mireille Bossy: Particle algorithm for McKean SDE : a short review on numerical analysis
Recording during the CEMRACS Summer school 2017 "Numerical Methods for Stochastic Models: Control, Uncertainty Quantification, Mean-field " the July 18, 2017 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and ot
From playlist Probability and Statistics
What is the right functional... - Broecker - Workshop 2 - CEB T3 2019
Broecker (U Reading, UK) / 14.11.2019 What is the right functional for weakly constrained variational assimilation? ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/InstitutHenriP
From playlist 2019 - T3 - The Mathematics of Climate and the Environment
Stochastic Gradient Descent, Clearly Explained!!!
Even though Stochastic Gradient Descent sounds fancy, it is just a simple addition to "regular" Gradient Descent. This video sets up the problem that Stochastic Gradient Descent solves and then shows how it does it. Along the way, we discuss situations where Stochastic Gradient Descent is
From playlist StatQuest