Results 11 to 20 of about 124,142 (266)
Stopping a Virus from Moving Freely: Border Controls and Travel Restrictions in Times of Corona
One year down the road, this article evaluates the travel restrictions imposed in response to the Covid-19 pandemic, first, in the light of the rules of the Schengen acquis (controls at the internal and external borders) and, second, under the provisions
H. van Eijken, J.J. Rijpma
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Brownian Motion in Minkowski Space
We construct a model of Brownian motion in Minkowski space. There are two aspects of the problem. The first is to define a sequence of stopping times associated with the Brownian “kicks” or impulses.
Paul O'Hara, Lamberto Rondoni
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Determination of pedestrian accessibility for urban public transport stops
Introduction. This article is devoted to the problem of determining the territorial (pedestrian) accessibility of stopping points in large cities, which is one of the indicators of the quality of transport services for the population.The aim of the study
S. S. Voitenkov, M. V. Banket
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Los valores del juego de parada óptima para medias aritméticas de variables de Bernoulli
We study optimal stopping problems for generalized averages of identically distributed Bernoulli variables, taking values in the set D = {d0, d1}. We obtain a recurrent formula in the finite horizon case, which gives the value of the game in terms of ...
Jaime Lobo Segura, Santiago Cambronero
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Finite Stopping Time and Finite Expected Stopping Time
Summary Generalized sequential probability-ratio procedures are defined for dependent and non-identically distributed random variables. For these procedures, conditions are found implying that the stopping time is finite with probability 1 and the expected stopping time is finite. These results are applied to rank order problems.
Savage, I. R., Savage, L. J.
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An Empirical Study on the Correlation between Early Stopping Patience and Epochs in Deep Learning [PDF]
Early stopping is a technique used to prevent overfitting in deep learning models by stopping the training process when the validation loss stops improving.
Hussein Bootan M., Shareef Shareef M.
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Unsupervised GAN epoch selection for biomedical data synthesis
Supervised Neural Networks are used for segmentation in many biological and biomedical applications. To omit the time-consuming and tiring process of manual labeling, unsupervised Generative Adversarial Networks (GANs) can be used to synthesize labeled ...
Böhland Moritz +3 more
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A Characterization of Stopping Times
The authors give two characterizations of stopping times via martingales and Markov processes. The first result is the following: Let \(({\mathcal F}_ t)\) be a filtration satisfying the usual hypotheses and \(R\) be an \({\mathcal F}_ \infty\) random variable, then \(R\) is an \(({\mathcal F}_ t)\) stopping time if and only if \(E(H\mid {\mathcal F}_ ...
Knight, Frank B., Maisonneuve, Bernard
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Métodos no estándar en el problema de la parada óptima
We analize the optimal-stopping ploblem by the use of non standard analysis techniques. Using the non standard concept of quasi-optimal time, we prove the existence of optimal times for the problems of finite and infinite horizon .
Jaime Lobo Segura
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On final stopping time problems [PDF]
§1. Let us consider the state equation of a dynamical system $$ \left\{ \begin{gathered}{{\dot y}_{xt}}(s) = f(s,{y_{xt}}(s))\,\,0\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{ \leqslant } t\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{ \leqslant } s\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{ \leqslant } T <
J. L. Manaldi, Edmundo Rofman
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