Results 31 to 40 of about 342,776 (277)

Optimal Save-Then-Transmit for Random Energy Harvesting Communications: An Optimal Stopping Approach

open access: yesIEEE Access, 2017
Energy harvesting (EH) from renewable energy sources is more environmental friendly and convenient than the conventional energy supplies. This paper considers a point-to-point channel with the transmitter powered by random energy harvester, for which the
Linsong Du, Qiang Li, Chuan Huang
doaj   +1 more source

A note on dilations and martingales

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1993
The purpose of this note is to investigate the effect of dilations on martingales and to give conditions under which a dilated martingale will retain the martingale property.
Martin L. Jones
doaj   +1 more source

Combined Games with Randomly Delayed Beginnings

open access: yesMathematics, 2021
This paper presents two-person games involving optimal stopping. As far as we are aware, the type of problems we study are new. We confine our interest to such games in discrete time. Two players are to chose, with randomised choice-priority, between two
F. Thomas Bruss
doaj   +1 more source

Interpretable Optimal Stopping [PDF]

open access: yesSSRN Electronic Journal, 2018
Optimal stopping is the problem of deciding when to stop a stochastic system to obtain the greatest reward, arising in numerous application areas such as finance, healthcare, and marketing. State-of-the-art methods for high-dimensional optimal stopping involve approximating the value function or the continuation value and then using that approximation
Dragos Florin Ciocan, Velibor V. Mišić
openaire   +2 more sources

Asymptotic Duration for Optimal Multiple Stopping Problems

open access: yesMathematics
We study the asymptotic duration of optimal stopping problems involving a sequence of independent random variables that are drawn from a known continuous distribution.
Hugh N. Entwistle   +2 more
doaj   +1 more source

An Empirical Study on the Correlation between Early Stopping Patience and Epochs in Deep Learning [PDF]

open access: yesITM Web of Conferences
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.
doaj   +1 more source

The Extended David-Yechiali Rule for Kidney Allocation

open access: yesMathematics, 2023
The First Come First Served (FCFS) queuing policy is routinely assumed to be the benchmark policy for “fairness” in waiting-time performance. In this article, we propose a slight modification of the FCFS policy based on a natural extension of the well ...
Amir Elalouf   +2 more
doaj   +1 more source

An exactly solvable multiple stochastic optimal stopping problem

open access: yesAdvances in Difference Equations, 2018
A new kind of multiple stochastic optimal stopping problem is formulated and its associated recursive variational inequalities are derived. We show that these variational inequalities can be solved exactly in a cascading manner.
Hidekazu Yoshioka
doaj   +1 more source

Time-Consistent Optimal Stopping [PDF]

open access: yesSSRN Electronic Journal, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

On Optimal Stopping

open access: yesThe Annals of Mathematical Statistics, 1966
This paper considers the following problem. One takes independent and identically distributed observations from a population obeying a probability law $F_\theta(x)$. However, one does not know $F_\theta(x)$. What is known is a family of distribution functions $\Theta = \{F_\theta(x)\}$ and one assumes that there exists a prior probability measure $\mu ...
openaire   +3 more sources

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