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Questions tagged [optimal-stopping]

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Gambler ruin's: Probability of k consecutive win before j consecutive loss

Assume that a stock has a probability of $p$ to win, a probability of $q$ to lose, and a probability of $(1-p-q)$ to remain every day. What is the probability of $k$ consecutive wins occur before $j$ ...
Zhihao Xu's user avatar
2 votes
0 answers
39 views

Sequential analysis - adjusting effect size

I am aware that sequential testing is risky, but it makes sense for me to do it anyway. So, I would like to read up, to do it properly. My idea (which is probably not new): In my reality, the true ...
W_vH's user avatar
  • 351
3 votes
2 answers
214 views

Finding the optimal stopping time to place a bet in an urn problem

This question is a spin on the question Basic probability question but struggling (brain teaser with friend) but with some additional rules and considerations that make it more complex. The ...
Sextus Empiricus's user avatar
1 vote
0 answers
73 views

Average time in which a product random variable becomes zero

Im looking for the optimal time in which a process should be cancelled before it results on financial losses. Say M_n=X_n*Y_n-c(n) for for n =1 to 12 which is the number of hours the process gets ...
Vacoiide's user avatar
4 votes
1 answer
149 views

Stopping time with alternating sign random variables

I find myself trying to solve a peculiar stopping time problem. Let $\{X_i\}$ be set of continuous random variables of a stochastic process, each with finite mean value $\mu$ and standard deviation $\...
user3141592's user avatar
1 vote
1 answer
41 views

Paper that proposes an algorithm for a optimal stoping rule based on an empirical distribution

Can you suggest me a paper that proposes an optimal stoping rule based on an empirical distribution? I am looking for some like this: I observe a random variable $x$ for a given time (this is usually ...
DanielTheRocketMan's user avatar
1 vote
0 answers
444 views

When to stop episode during reinforcement learning

I have a reinforcement learning environment where the agent has to reach a certain target position by moving its limbs. At the moment, I stop each episode after 2000 simulation steps. During the first ...
Thomas Wagenaar's user avatar
3 votes
1 answer
67 views

When to stop enumerating a fixed set of unknown cardinality via random sampling?

DNS resolution can sometimes return one of multiple IP addresses, for load balancing. I would like to enumerate a list of IPs for a service so I can whitelist traffic to a domain without performing an ...
Iiridayn's user avatar
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1 vote
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Early stopping in wilcoxon signed rank test?

I have decided to acquire N joint samples of variables X and Y (for example, N=200), and test whether their means are different using the signed-rank test. I will repeat this procedure many times, ...
Aleksejs Fomins's user avatar
2 votes
1 answer
4k views

When is EarlyStopping really neccessary?

I have trained a CNN with EarlyStopping and I wonder if I should not use EarlyStopping and waste 20% of Trainingsdata for Validation, because it looks like as that the validation loss doesn't increase ...
Code Now's user avatar
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1 vote
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Tensorboard: Why does validation loss get evaluated after training loss stops?

When I monitor my model through Tensorboard, I notice that Tensorboard stops plotting the training loss but not the validation loss. Since the early stopping module, as I set it up below, is ...
JesseMcPoggers's user avatar
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grid search with early stopping - influence of validation data to grid search results?

I would like to combine grid search with early stopping by passing a separate validation data set (used for early stopping) to grid search. However, I wonder when I use during the entire grid search ...
Code Now's user avatar
  • 145
2 votes
0 answers
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State the overall alpha after interium analyses

Suppose a trial investigator wants to analyse the primary outcome (morning peak flow at 6 months) after the trial has been running for 1 year, 18 months and 2 years using alpha=0.05 each time, and ...
Bery's user avatar
  • 67
1 vote
1 answer
2k views

Expectation Maximization (EM) stopping criterion

In several EM description (e.g., Theory and Use of the EM Algorithm By Maya R. Gupta and Yihua Chen) I read that two tipical stopping criterions for EM are defined on the difference between log-...
volperossa's user avatar
1 vote
0 answers
33 views

Early loss stop and strategies to select best model

Run config: ...
lucid_dreamer's user avatar

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